شعرت شموس الهدي بالكلمات فأنا رت الأفهاء بسم الله الرحمن الرحيم والصرات والسرام وعلى سيدنا ونبينا محمد وعلى آل بيتي الطيبين الطاهرين one of the most important faiths of believers that faith that shall subsist within them to the end of their life and in a matter of fact it should subsist within them to the hereafter is that of hope and faith in Allah's mercy there are two verses in the Holy Quran the first verse describes the difference between well-guided and the astray it indicates a strong contrast between the belief in Allah's mercy and the despair of Allah's mercy Allah, when He exalted, says ومن يقنط من رحمة ربه إلا ظال لون He says, and who despairs the mercy of his Lord but the astray despairing of Allah's mercy is a sign of astray and hoping in Allah's mercy is a sign of guidance the second verse describes the difference between a religious believer and a non-religious disbeliever the believer hopes in Allah's mercy and the disbeliever or kafir despairs of Allah's mercy Allah, when He exalted, says ولا تيئس من روح الله إنه لا يئس من روح الله إلا القوم والكافرون never give up hope in Allah's mercy ولا تيئس من روح الله never give up hope in Allah's mercy روح مرسي رحمة which is also mercy has the same meaning therefore, الله سبحانه وتعالى says ولا تيئسوا never give up some scholars say that it has been described as روح because when one is in an issue they feel suffocated they feel suffocated it's like they can't breathe this is similar to the case of people who live life with asthma they can't breathe often and they crave for fresh air in order for them to breathe well when they inhale some fresh air they feel that their souls has come back to them that fresh air or breeze is called روح الله سبحانه وتعالى الله سبحانه وتعالى بهي إجزالت that says never give up hope in Allah's روح ولا تيئسوا من روح الله إنه لا يئسوا من روح الله إلا القوم والكافرون the believer should never give up hope in Allah's mercy under any circumstances why why is there a difference between a mu'min or believer and a kafir disbeliever the difference is because the disbeliever believes in the logic of science and the believer believes in the logic of power of religion there is contradiction between the logic of science and that of religion the logic of religion does not neglect the logic of science whereas that of science to some scientists most often does the logic of religion is a step higher than the logic of science سيانت ي depending on physical equations it's like keeping someone in a locked room he or she can't see what's behind the walls but his heart or her heart or soul are connected to Allah سبحانه وتعالى بيه exalted and in any situation you are in in any circumstances you are in your heart is connected to Allah's mercy سيانت says that there is no hope يقولون أنه لا يوجد أحوال ولكن رلوجيا يقول أنه لا يوجد أحوال هناك هذه المناجات لأمام عليه السلام بعضكم لديهم و بعضكم لديهم تذكرونها يبدأ with لك الحمد يا ذلجود والعلى تبارك تطعطي من تشاء وتمنعو إلهي وخلاقي وحرزي وموئلي إليك يد الإعصار واليسرح يفزعو وعلى مدابة الترانسلات تبارك تبارك لأمام الله تبارك تبارك لأمامك ومعنى تبارك من جميعك إلهي وخلاقي ومعنى رفج لأمامك أسرح ومعنى ومعنى قرار حتى يقول هذا و this is very important إذا كنتم إضافة لك this belief لأخرى يقول إلهي لأن عذبتني ألف حجة إذا كنتم إضافة لأمامك ومساعدة لأمامك إذا كنتم إضافة لأمامك ومساعدة لأمامك ومساعدة لأمامك إذا كنتم إضافة لأمامك وماذا ستفعل في رسولك فحبلو رجائي من كلاية قطعو أتمنى أنك ستكون أمامك ماذا مالا سبلعم ومجمع فكثيرا من أصدقائي أصدقائي من أصدقائي من أصدقائي من أصدقائي للأمامك ومعنى فهذا هو لأن دعاء كمال إبن زيال ويقوم بإمام علي عليه السلام ويقول أضجن إليك بين أهلها غجيجة الأمالين ويقول أن إذا يمكنك أمامك من تؤكد مني في إبن أحاول الأمام لأنه تذكير وعالك لأمامك ومعنى تصعب ومعنى وعالك ومعنى فيك لذلك حدث أو تقوم بشكل بصالحك ومعنى في اللعبة حتى عندما أنت تخلص إنها مهمة لكي تحتفظ وردت في الله على مرسي which is one of the rescue-means in آخرة أيضاً لنا as human beings we have problems الله سبحانه وتعالى بهي إجزالت has created this world and has made a swarm through problems and every one of us suffer from a different problem دعني أعطيك سأعطيك أمان and a woman who got married they lived with each other for about eight years and throughout that eight years they did not have any children they went to the doctor to be cured and after eight years of going to the doctor the doctor told them there is no hope the problem is in the man and is in the woman so don't try anymore this is the logic of science what does it say? there is no hope but the logic of religion says there is hope this very couple went to one of the scholars and he gave them some of قند you know what قند is? it's the sugar cubes that we read حديث الكساء and the scholar also gave those couple تربت from سيد الشهداء the sand from the holy land of كربلا from إمام حسين عليه السلام and the water of زمزم the holy spring water of مكة and along with some of the water that's drained near our master أب الفضل العبس عليه السلام after a while that lady gave birth to triplets there's another story a couple who was married for 28 years now 28 years is a long span however after 28 years without having children الله being exalted blessed them with 4 babies إنما أمره إذا أراد شيئا أن يقول له كن فيكون really when he intends a thing his command is being it is the doctors say that there is no hope the politicians say that there is no hope in politics the economics say that there is no hope regarding certain economical issues but the logic of religion there is hope about everything here is another marvelous situation a 100 year old man and a 90 year old wife had no children would there still be possible for them for those two couples to get any children is there is it possible the logic of science says that there is no hope but what does the logic of religion say there is hope all of a pious person always entertains hope إذناد ربه نداء خفية he called upon his lord in humility and privacy why privately he felt shy to ask his lord for a child after زكريا turning 100 years old but it is not shameful to ask anything for Allah everything is possible for Allah Allah doesn't need to say كن بي the letters بي Allah doesn't need to say them فهي ببشيئتك دون قولك مؤتمرة وبإرادتك دون نهيك من زجر Allah doesn't need to say كن for it to be Allah has will will do everything Allah has not controlled by this observance Allah has not limited to these natural equations it is we who are limited to these natural equations that private call upon زكريا in humility and his lord had a result زكريا who had been 100 years old and his wife was 90 years old Allah blessed him not only with a child but rather a messenger The Holy Quran says يا زكريا إن نبشرك بغلام اسمه يحيا Oh زكريا we gave you the good news his name shall be يحيا no one was named by his name before therefore you, us, we must never give up hope in Allah has mercy in any situation when you ask Allah for something ask with a soul of a believer that believes that what they ask for will be answered one last important point we pray and ask for Allah سبحانه وتعالى but we forget for other people's problems to be solved we mistakenly forget about our relatives our friends family it is because people when they live in their problem they only think about their problem and others sublime other people's problems and pray for them too our role model فاطمة الزهراء عليها السلام the woman of the world peace of blessings be upon her used to pray for everyone except herself it's very important than to pray for others as people all around the world are living with problems when we read Dawat Nudba we realize that when we talk to Imam Al-Mahdi we don't tell him to come out to solve my little problem that I'm living in we rather realize where is the one prepared for cutting off the roots of the wrongers where is the one awaited for mending every unevenness and crookedness where is the one hoped for removing oppression and aggression you realize here that we're asking Imam Al-Mahdi to come out to solve oppression and aggression not to come out to remove my little problem that I'm suffering from if you realize in about 90 to 100 words in this Dawat we are asking Imam Al-Mahdi to come out to solve bigger problems that we live in today now back to track if the doctors say that there is no hope the believer the mu'min should always entertain hope it's narrated that sayed Hassan Al-Shirazi may Allah bless his soul was led to an execution in Iraq he was asked do you have a will this was an execution norm then the executors would take the will and they would bring a black cloth and cover the person's face or they would just cover the eyes and then they would blow three whistles after the three whistles the chair beneath the person's foot or shoot them to death with a gun so sayed Hassan Al-Shirazi they took his will and he was standing on the chair he says they blew the first whistle and the second whistle he says between the second whistle and the third whistle how many seconds are there maybe a fraction of a second he said and the second the phone rang he does not hear what the man in the phone was saying but he hears what the man in front of him was saying he said no meaning no I have not executed him yet it's been delayed they came and they took that black cloth away from him and they said your execution has been delayed imagine between the second whistle and the third whistle I still had hope in Allah's mercy and I will conclude with one last story narrated that the last person that will be taken to hell will look behind him Allah being exalted will ask him عبدي لملتفت why did you look back فيقول العبد يا رب ما كان هذا ظنبك he would say oh lord I had hope and mercy in you so Allah سبحانه وتعالى would say what was your hope and he would say that you would take me to paradise Allah سبحانه وتعالى will look at the angels and he would say that this man had never had hope in me not even once in his life and if this man had hope in me I would have never even dragged him or took him to hell but I would accept his fidgin lie and I would take him to heaven and that's why in dua كمال when we read it says would you allow the hell of overpower the faces of those who have fallen down in prostation before you let's heartily pray that we have faith and hope in Allah's mercy wherever we go and whatever happens to us we will never lose this hope in Allah's mercy وصلى الله على سيدنا ونبينا محمد وعلى آل بيتي احد الأشياء المهم في لحظات الاحتضار انه قلب المؤمن يكون مشحون ومليئ بالامل باللم هذا من أسباب النجاة في الآخر


Welcome to this video. Today, you're going to learn the difference between elder and older. This is a question that a student had submitted and it's a great question, so I'm happy to explain this to you. Of course, I'm Jennifer from jforisenglish.com and this channel is dedicated to helping you feel confident speaking English in public so you can take your career and your life to the next level. Now, before we get started, make sure you subscribe and hit that bell icon so you're notified every time I post a new lesson. Now, let's dive in with this video. Let's talk about the difference between elder and older. Both of these are used to talk about advanced age when making a comparison. So in order to make that comparison, we need two people. One needs to be younger and one needs to be older, older. So let's take Don and Ed and let's say that Don is 15 and Ed is 18. So of course, Don is younger and Ed is older. Now let's say Don and Ed are brothers. So Don, Don speaking and Don could say, Ed is my older brother. My older brother. Using older to make that comparison between the ages and is to describe what type of brother he is. Now, Don could also say Ed is my elder brother. Technically, technically Don can say this, but if Don is a native English speaker in North America, Don is not going to say that because although according to a dictionary and a grammar rule, you can use elder to replace older in a comparison between two people to talk about their age, we don't do that. Okay. To me, it sounds awkward. It sounds unnatural and it's not something I hear. So my recommendation to you is to use older. Even though elder is grammatically correct, I still want you to use older because it will help you sound more natural. Now we can also make a general statement and say, Ed is older than Don. So notice here, I'm using older than. That's a comparative adjective. Olders are adjective. Then we have our comparative adjective. Ed is older than Don. Now in this case, I cannot say grammatically, I cannot say Ed is elder than Don. We don't use elder then. It doesn't exist as a comparative adjective and that's according to grammar as well. So you might be wondering if I'm telling you, don't use elder when you're talking about ages between two people. When can you use elder? Should you ever use it? Well, there is one specific case that we commonly use it in North America and that's using elder as a noun, a noun. Okay. Not an adjective as a noun and elder and elder would be one and elders would be a group. They are senior citizens, senior citizens and using the name elder sounds respectful. It sounds like a nice thing to say. It's certainly more polite than describing them as old people, right? Just describing them as elders. It's a sign of respect and it's very polite, but we use this for senior citizens. Now honestly, my definition of a senior citizen is probably about someone who's 80 or older, 80 or older. Why? Because I think in today's modern world, people are working well into their 70s. So maybe previously you'd be considered a senior citizen at 70 or maybe even 65, but I don't see that in this modern world. When I see a 70 year old, I see somebody who's still working, still traveling. When I think of elder, I think of like grandmas and grandpa sitting in a rocking chair, like knitting. Okay. So in my mind is someone who's about 80 or older. So we have an expression. It's just like a common saying, always respect your elders. I heard this all the time when I was growing up as a kid, always respect your elders and keep in mind elders as a group, as a noun, remember just senior citizens, people who are 80 plus. This isn't people in your direct family. So it's not just talking about my grandmother, my grandfather, or anything like that. My great uncle, great, great uncle. No, it's about any senior citizen. Okay. It doesn't have to be related to you. So when we say like always respect your elders, I imagine if I'm on a bus, for example, public transportation and an elder enters the bus, gets on the bus, I would give my seat to that elder person. Why? Because that's how we respect our elders. Or same thing.  But remember that is 80 plus senior citizens. So that's an expression that we have always respect your elders. So let me know in the comments, is that an expression that you have in your country? I'm sure it's a universal concept. And what's something that you do to respect your elders. So for me, I always open doors, I let them go ahead of me in lines. I even offer to carry their bags if they look heavy, things like that. I always try to help out elders. What about you? What's something you do? Now, so that's how I would recommend using elders to refer to a group of senior citizens. And to summarize, when you're just talking about your brother, or, you know, a family member that is more advanced in age, use older, don't use elder, you'll sound more natural. So now you have everything you need to use these two confidently. So feel free, leave two comments below, one with older, one with elder. I already told you how to use elder. Give us an example of how you respect your elders. And if you found this video helpful, please hit the like button, share it with your friends and of course subscribe. And until next time, happy studying. Awesome job. Look at you sounding really natural, getting rid of that awkward elder brother, which we don't use in American English and using older brother instead and learning how to use elder correctly. Way to go. That's awesome. I'll see you in my next video. Bye.


We're here in the Hong Kong fair. Hi. Hi. Hello. So, who are you? My name is Tammy. Hi. My name is Tammy. And so what do you show here? This is our product for camping. What is the most special ones? What is a small one there? This is the glass high temperature. Yes, and you can put the firewood inside.  So it's for it's a little oven. It's fire. It's for heating or what is it for? Making a It's for cooking. Yeah, cooking. Wow. This one has the tray. Yes Is this very special? Yes, special one you do this. Special one. Yeah, yeah And it's the best seller is here. So this is for fondue? It's for cooking You can put the firewood inside Yeah, and here also have their tray Nice. Do you talk about price for this for MOQ? What is a minimum order? 200 what? Yes, MOQ. MOQ, yes. Do you talk about price? Yes, I am cooking about price And what is the price for something like this? Or is that $200 you mean? Small size This is the small size. Yes, small ones Price is 42.8 USP. For 200 pieces? Yes, 200 pieces. Is this a little bit bigger? Yes And how about this? What is this? Also for cooking? Yes, also for cooking. Everything is for cooking here, right? Yes, yes, yes, and we also make their table here. Yes, it's also our work for that. Can you show? Yes, yes. How does this work? Okay, you need to put the right one and the right one. Nice, and it's not so heavy, right? Yes And it's good quality Nice And then you have a nice table like this Three. Yes. And what kind of price do you have for the tables? You can choose. And you contact you and people will talk about this stuff And you also do this style. Also the table Nice. This one is also foldable, foldable table. Nice, and this is really not heavy. Not heavy, yes Okay, cool. Do you have a big factory? But we can make many... In Shenzhen? Yes, in Shenzhen, out of Hedat. Yes Yes. Are you famous? Your company? I'm so famous. Is new company? About ten years. Yes


Hey, what's going on guys? Welcome to a new video. So the June marathon continues. If you don't already know, I plan to upload a video every single day in June and so far I've kept up to that task and that is the plan for the future. So if you do want to see a video every single day, then please do make sure you subscribe. And anyway, the topic of this video then is I'm going to show you a brand new product research strategy for 2019. Most of you already know, you've been commented on my YouTube videos, which is great. Facebook have removed the info and ads tab from Facebook pages, which means you can no longer access the current ads that a page are running. However, there is a workaround. There is a way to work around this using the Facebook ad library. The ad library used to be pretty useless to be honest, but Facebook have improved it considerably since they removed this feature so you can find all the ads of a page. However, the information you have access to is still limited. So you still or you used to be able to see how many comments and ad had or how many engagements and basically find the evidence behind the product because just because somebody's advertising it just because an ad has a ton of engagement, it doesn't necessarily mean it's a winning product. You need to find evidence behind it to ensure that you're choosing a good product. But because you can no longer access the comments, you need to look at other ways then of finding that evidence to ensure that you're selling a good product. One of the easiest ways for beginners to set themselves up for their best chats in success. Hey guys, sorry to interrupt. I completely forgot to mention. Just quickly, I am giving away a free one-to-one consultation call with me in this video. So if that's something you might want to win and actually talk to me one-to-one about your drop sleeping business, all you have to do then for a chance to win is simply like the video and leave a comment down below. And if you commented on yesterday's video, just make sure you stay tuned to the end of this one where the winner will be announced. And with that being said then, let's get back into it. It's to start selling a product that has the evidence that is currently selling really well right now. So today in the past week, in the past month. So that's what the focus of this video is going to be. I'm going to show you how to find the products, but more importantly, how to actually find the supporting evidence that can tell you and guarantee you that that particular product is selling really well right now. So that's the top of the video then. Thank you for tuning in and let's get straight into it. So here I am then on the exchange marketplace. If you're a beginner looking for any particular product, I still think this is one of the best places to start. There's kind of like two plays you want to, there's kind of like two plays in which you want to start with your product research. Number one, or there's kind of like two different kinds of products. Number one is the trending product, which is what we're going to be focusing on in this video, which is products that other people are selling. We can find the evidence behind that and therefore start selling the products that we already know is selling today. And the other one then is to be a company, a brand that brings new products to market that not many people have seen before if at all anyone and that's a completely different video. So the exchange marketplace, what is it just in case you're a beginner watching this, then it's essentially where people come to sell their e-commerce websites. The majority of them are Shopify stores. So any sort of browser extensions you previously have installed will work for the majority of the store for the stores. And what I really like about this then is that the numbers are verified by Shopify themselves, which means all the numbers you see on here are legit. So if you see a company that's performed really good results in the last three months, then you know for a fact it's legit numbers. And when you then look at their products, you know that they're the products that are producing those kind of results. So I want to take you through the whole process and from start to finish. And essentially what I'm doing is I'm looking for a listing that isn't private because any private listings won't give you the store URL. So you need to find one that isn't private. And we want one that has a decent amount of revenue because there's no point taking the best selling products of a store like this, for example, that only has $77 revenue. And there's not enough evidence there behind any particular product. So I'm just going to scroll down and then find one that's got pretty decent revenue, 300 grand. That's not bad. Private, private, private, conform, ITech, 300 grand, 100 grand, private, private, private. In fact, let's just take this one in 100 grand. So 100 grand isn't bad for a beginner. Then that's probably a significant amount of money. And all you have to do then is you simply click on the list and there's going to give you a ton of different information. So feel free to read through that if you so choose. What I'm interested then is their actual store URL. So I'm just going to go across to their store and have a look around and just see what kind of store it is and see if these are the kind of products that are actually being dropshipped. Because you always want to double check that these products are available on AliExpress. And then therefore we can actually source them ourselves as well. So by the looks of things in there, they've obviously focusing on avocados, trying to build a brand around that particular fruit or vegetable. I don't actually know what it is. If you know what it is, make sure you let me know in the comments sections. And what I'm looking for then is their delivery policy to see if they are actually dropshipping or not. So on average, audits take 7 to 20 on business days after processing. So that pretty much confirms that they are dropshipping. And now what I'm interested in next is their Facebook page. We need to make sure we can get to their Facebook page because this is where we're going to find some of the information that we're looking for. So once their Facebook page is loaded up, you can see there's no longer an info and ads tab section. However, what we can do is there's this now this page transparency box on the right. If you just go ahead and click see more, it's going to give you a bit more information. And what we're interested in then is this view in a library page here. It's going to take you to a new tab is going to upload the Facebook ad library for you. And essentially it's just going to show you all the ads at this page are currently running. You can see that active. It gives you the date they start. But what it doesn't give you then is the engagements or the comments. Even if you click on see and details, it doesn't really give you anything of use. So what we're essentially interested in then is actually finding the products that they're focusing on. And then we can then do the research deeper into them using other websites, which I'm going to show you. Looking for that evidence of whether it's actually a best selling product or not. So in terms of the Facebook ad library, then I suggest you get familiar with it because you can literally just come up here and put in any Facebook page. So let's popular create another common drop ship that everybody's heard of. And as you can see, it's going to give you all the different ads that these guys are currently running. And in case you find a page that doesn't look like they're running many ads, just make sure you choose a different country because the page might be running more ads just in different countries. So anyway, let's go back to our friends, keep it avocado. There's two products here by looks of a burrito blanket. And we're going to focus on this plush toy here because I believe this was like their main product on their store. So this one here is an avocado plushy. So next thing we want to do then is head over to AliExpress and see if we can actually find the product ourselves. So if we just put in avocado, let's just put in avocado. And it's come up pretty much straight away, pretty significant amount of orders. But let's just filter by the most ones just in case. And right, brilliant. So we found the exact products, which is good. It means we can source it ourselves. What we want to do next then is take the best selling one and we just open up in a new tab. And we want to take the URL. So just copy and paste copy that. And then on this tab here, I'm just going to head back into my AliExpress account. Go to the drop shipping center product analysis. And then we're just going to paste the link in there and click search. And what AliExpress is going to do now is give us the past two weeks sales volume. And it's going to break it down day by day. So we can see on exactly what days, how many units they actually sold of this particular product. Now, once you found that information, then what exactly does it mean? So these guys, so they sold 38 yesterday, then they sold 26 a day before, then day before that they sold 56. So what exactly does that mean? What ideally what you want to look for the kind of sweet spot that I found is in the two to three percent mark of their total audience. So if we just go back to the product listing, you can see they've got nearly 2000 orders. So two percent of that would be 40 orders a day, if I'm correct. And you can see that they're there about with that amount of orders every single day. So to me, it shows that there's a strong demand for this product. However, because AliExpress then is getting more and more popular with end users. And what that means then is actual people who want the product themselves, buying it themselves, not a middleman, not drop shipper like us. AliExpress, the sales numbers are just drop shippers. A lot of them will be end users, too. So we need to kind of dig a little bit deeper and just make sure find the evidence that there's actually a market here to actually drop ship this product. So to do this, then what I want you guys to do is open up a new tab in AliExpress. And instead of just searching for avocado, what I want you to do is search for avocado or whatever products you've found. It could be literally anything. So avocado and then just put VIP on it and hit enter. And hopefully then there'll be a few listings like these ones. Now, if you've never seen VIP listings before, then basically what they are is that when you start buying a significant amount of one particular product from a supplier, then you have the leverage to negotiate with them a better price. It's like anything in this world. If you buy more of something, then you expect some sort of discount. And AliExpress is the same thing. Once you start buying, in fact, I recommend once you start processing orders of 20 units per day, then I recommend getting in contact with your supplier and ask them for a VIP link. If they're a half decent supplier, they'll know exactly what it is and they'll have no problem setting up this VIP link for you. And essentially what it is then is it's another product listing within AliExpress for the exact same product, but just at a discounted price. Typically it will be something like these two listings here or this last one. It won't be a product of the image and that will stop other people from ordering that product because only you then will know exactly what that product is. And nobody's going to buy a product if they can't see a picture of it. So once you've found these listings then for the particular products you're looking at, then essentially what you want to do next is simply look at the order numbers. If the listings, the VIP listings have a significant amount of orders, then that shows you that there's somebody dropshipping this product and they're dropshipping it successfully. Now what I've just shown you is very, very important and make sure you don't skip this step because to see the order numbers for a normal product listing on AliExpress is one thing. But unless there's the demand there and the proof and evidence that the product is being dropshipped from a dropshipper, then that's a whole new level. That is hardcore stone cold evidence that somebody is dropshipping this product successfully if there's a significant amount of orders. Now looking from these product listings, most of them have zero orders. So what that tells me is that there isn't much demand or there isn't much room in the market for somebody to dropship this. Now that's not the final be-all and end-all. There just may not be somebody who's been able to do it successfully. So there still may be potential, but like I said back in the beginning, the easiest way for a beginner to set themselves up for success is to actually find a product that has that proven track record. And this is exactly how you would go about finding that track record. To double check things in, what you would do is open up the one that has the most significant, the most amount of orders. So this one has 180, which is too bad. And once it loads up, then just head over to the page, take the product URL, head back to your dropship in center. And we want to put the URL in the product analysis box, click search. And again, just look at the search for the sales volume for the last few days. Because again, it comes back to the whole, if somebody is selling this product successfully today and consistently for the last week, if we then try and sell that product today or tomorrow and we don't sell it successfully, then we know that it's something that we're doing and not the actual product. And if we just take a look at the sales volume, then we can see that these guys, whoever's dropshipping this is averaging kind of between 7 and 10 orders a day, which isn't bad considering they only had 180 orders. And what this tells me then, especially with there only being one person dropshipping this on AliExpress or one person with a VIP link, that shows me that there's not a lot of people selling this product, not a lot of people dropshipping this product. So there's potentially a gap in the market to actually go ahead and start selling this product successfully. Again, it all boils down to stone cold evidence. We've seen the numbers, we've seen how many people are selling it. We've seen that the people that are selling it, how many orders they're processing. And we can use all that information up then to gather a story about a certain product and then make that judgment of whether we want to test it or not. So once you've looked at the sales numbers of people dropshipping a particular product, the final thing I want you guys to do is simply head over to Facebook and do a Facebook search for this product because we want to see how many other people are advertising on Facebook and then see what evidence we can gather from that as well. So if we just put in, it's an avocado plush toy. So if we just put that and hit enter, in fact, let's put a H on the end of there just to make sure we don't miss anything. And typically then what we'll do when I'm looking for a particular post is just go straight to videos because most people or the most successful ads tend to be videos. Plus it's potential for if we were to test a product and this is inspiration of how we could advertise it as well. Now what we want to do is simply go through and look at how many people are making videos of this product. Is it all the same video? Because if it is all the same video, then again, there's a space in that market for somebody to come in and advertise it in a different way. The other thing we want to look at as well is how many views these videos have because if not many of them have many views, then again, it shows a potential gap in the market for somebody to come in, spend a bit of money on ad spend, and just dominate everybody else. And that kind of shows as well. If you look here, the story is there's not a lot of people advertising this, if at all, advertising whatsoever. The fact that a lot of these don't have many views whatsoever tells me that there's probably not many people actually spending money on this product, which can be a good thing and can be a bad thing. The next thing we want to look at then is find the videos that have the most views. So for example, this one, feel free to watch the video through to get some inspiration of how to advertise it. But what we're interested in then is a couple of things. Number one is the actual ad copy itself, so the actual text they're using. And the fact they've got a short link as well, which is pretty handy because I can show you a pretty neat trick that you can do. Any bit.ly links, what you can do is put it in your URL bar, stick a plus sign on the end of that, hit enter, and it's going to tell you how many clicks that particular ad has had. And it's going to give you a ton of different information as well. So 400 clicks in total since it started on Monday 8th of April. And then it's also going to tell you where those clicks have come from. So it gives you the ideal targeting criteria. But anyway, back to the ad, what we want to focus on then is the comments. We want to open these up and we want to see what people are saying about this particular product. And what we're looking again for is the evidence. Everything in this video I want to come back to evidence. That's the number one point. You're looking for evidence that a particular product is selling. So we want to find people who are commenting things like just bought one or I've received mine. And we can see a lot of people are tagging each other, which is a good sign. Engagement is always a good thing on a social media platform. So yeah, that's the idea then guys.  But basically what you're looking for then is evidence. Everything in this video comes back to evidence. And I want that to be the key takeaway as I wrap this video up. Is that when you're looking for winning products, a winning product or the easiest winning products to sell are ones that are selling right now. And I've just shown you the ways in which you can guarantee that you can find the order volumes. You can find the people selling them. You can look at the comments to see if people are actually buying them. And that's what you want. Then you want to build up a case behind a product, find a product, do your research, see if it's selling right now. See if there's people drop shipping it successfully. If they are, how many units are they selling per day? Pretty much just everything I just showed you. So with that being said then guys, I'm going to wrap the video up. Any questions on anything whatsoever, make sure to leave a comment down below. I always do get back to every single person. If you enjoyed the video, then all I ask is you simply leave a like. And of course, if you want that chance to win a one to one call with me, then all you have to do is simply leave a comment down below as well. And with that being said then guys, let's get into announcing the winner of the previous video. So here we are then on my previous video. If you haven't seen it yet, please do go and make sure you go and check it out. I'll give you the views inside my very first ad manager account. And I talk about my first sale and when I started to make a profit. The first three months basically I start drop shipping. So yeah, make sure you go check that video out. Anyway, I'm just going to take you away well from the top left. Head over to the random comment picker. So these competitions, they go on in every single video, but they are 100% random too. So unfortunately, I can't choose a specific person. But anyway, the winner of the previous video then is final. So thank you very much for your comment. Congratulations. Make sure you reach out to me on Instagram then and we can get a call arranged. And guys, if you want to stop trying your luck and just get straight down to business and book a call with me, you can actually do so. There is a link in the video description down below. And with that being said then guys, thanks again for tuning in. I hope you enjoyed it and I'll see you all tomorrow.


Okay. Hello everybody and good afternoon. So first things first, my name is Jean and I work with NUS. You will hear my story later, but first I'd like to start with another story just to get us warmed up and to set the tone for this two-hour session. So to start with a story, this time last year I was actually seated in front of a room like now.  And over the next few months I was going to teach them English in Japan and my Japanese was almost non-existent. But the point is that we started off learning how to say really simple things like good morning, how are you, how are you today, how was your weekend. And then as time went on, they started opening up and we started to get to know each other and then they came up with special requests like a really popular one was, this is all very useful English but you know we're not really going to look at going to the doctor or going on a trip but what we really want to know is how do I pick up an English girl in English. So that to them was really important and the point of me telling the story is that in any sort of a day workshop or even over the course of a few months you go through a journey with your peers, with the person sitting next to you and also with the teacher or the facilitator or what have you. You go through this learning journey and I feel it's always most fulfilling if you think of it as a journey and the fact that the journey doesn't stop there. So to end what happened with the Japanese military cadets, we did go through the whole syllabus over three months, it was really nice. I did teach them how to pick up girls in English because honestly they were quite clueless. The first thing that I asked them was, what would you say? And they were like, how old are you? Would you say that on a first date? That is classic dating 101, no no. So yeah they had a lot to learn, it was a great journey and this is what I hope, we're only going to be here for a couple of hours but this is what I hope the day will be like. So to get started today is all about you. So this is about you mapping out where you want to go, what we're going to explore. I'm going to share a bit about my personal journey just as a few lessons and tips and tricks to take away and then we're also going to look at what is data because it's a simple question but it's also not a trivial question and it's actually quite nuanced and if you want to get into data, firstly you have to know what is data and then we're going to have a little exercise into gathering data and dealing with it just to get you comfortable with the idea of what data is and what you can do with it and then we're going to look at some browser-based resources that you can look at and I'm going to point you to more resources that hopefully after today you can then go away with. So like I said, today is all about you and I've been speaking for long enough so I'm going to get you guys warmed up with an icebreaker. So you are all in pairs. You get together in a pair if you are not already in one and ask each other this question. Go. Has everybody had a chance to share their story? Okay, not yet. Okay, I think everyone has had a chance to speak. We are now going on to the next question.  So again, it will be really nice if we have a nice supportive atmosphere and another thing that I would like to practice to get us in the mood is later on we're going to have a lot of sharing and when you stand up and speak after that I'm going to ask everybody to do what's called a stomp clap.  Okay, let's practice that. Give her a stomp clap. Yeah, okay, and again stomp clap. Okay, so after anybody speaks we're going to not go the that's not what we want. We want a full enthusiasm stomp clap. Okay, so this after the icebreaker I am going to talk a little bit about how I came to do what I do and later on because I get this question a lot so I thought I'd put it out and share my story first of all and then later on if anyone wants to ask about again what is data what are the roles out there, how can I get involved then by all means come and talk to me and the key message I want to get across basically is the subtitle in the slide, Random Walks and Little Bets because it's all very well to talk about empowerment and yeah you just need to go for it, you know, you go girl you can do anything. The reality is there are so many different forces in the world your job, your boss, your family, your degree whether you did computer science or marketing so going into a new career like analytics which is not actually very well defined actually requires you to manage all these factors which is the biggest lesson that I've taken away hence the title of my talk which is Random Walks and Little Bets so what do I mean by a random walk is basically you sort of meander around right and then little bets means you don't know what the right answer is so if you're like a poker player you don't put all your eggs in one basket you diversify and you experiment and then you see what pays off so those are the two themes I want to get across basically so what do I mean by a random walk this brings me on to my first story so I studied in the UK and my degree is actually in plant and animal biology and I don't even mean genetics and working in a lab although I did work in a lab what I also did a lot of was go on field trips in Wales and go to Spain in the cloud forest to look at flowers and we filmed badgers and beavers at night and then we would go and count the bats as they came out and some unfortunate freshman got caught doing it on camera that was the camera was set up to film the badgers ostensibly but then you know freshers and getting it on in a field trip and they accidentally got filmed as well so ouch don't do that but that was my degree basically and then I realized out of my degree that I was very interested in systems and code hence genetics because genetics itself is a code as well but then okay what are you going to do the obvious path is to then do a PhD or work in a lab right but why you're severely underpaid that's the reality of it and then many people end up burning out so what do you do so then you I started experimenting a lot again little bit so random walk I was in the UK doing something like plant and animal biology that was a bit random so what do I then do with it okay let's experiment so I did a stint with the UK government looking at experimental trials in education so experiments you know science all that maybe that would work and then I also did a lot of work with charities and trying to quantify their impact so again data and how that works and then I worked with a social media company looking at their data so I didn't know what would pay off so I just did lots of different things and I found that I really love data it wasn't even about oh data scientists get paid a lot maybe this will be better than working in a lab I just completely fell in love with it oh my god an Excel file really geeky but that's how I got started and so I discovered through making these little bets that okay authors and badgers are really cute but maybe data is just as good so okay step one then what happens after that I didn't want to I didn't want to do further studies and I didn't want to get a job straight out of uni so I went on an exchange program to Japan to teach Japanese and learn English so I mean sorry not teach Japanese and learn English teach English and learn Japanese so a completely different about turn again a random walk and I taught everybody from young kindergartners to the military like I talked to you about an 80 year old grandfather whose English was actually better than mine and so it was a really cool experience I also worked on an organic farm so actually planting in the hot sun not very, it's actually quite tough and then baby sat the little boy we made our own jam ran a cafe on the weekends and where does that all bring you you know it's a totally random walk how does that relate to biology which relates to data and so my year in Japan was up I had a lot of fun and so then I went back to the UK because a return flight was included in my scholarship and okay now you get down to it let's start applying for a job so you spend all your days tailoring your resume and sending it out and talking to people because I mean we've all been there right we've all been there and you wait and you wait and you wait and it's like crickets no response and again so lots of random walks and then little pets okay no one's taking the bait why is that what am I missing here you know some key misconceptions or actually shallow perceptions oh I want to get into data or I will be a data scientist oh to be a data scientist they're asking for a PhD but I don't have a PhD or you think oh people say that AI is the next thing to get into I'll do AI what exactly is AI what exactly are the skill sets needed you know and then I found there was this mismatch between what I had to offer and what people were asking for and so again lots of little bets so I got in touch with an education technology startup from a university connections and we did a project together and that was really cool because A it taught me that you can always blend what you already have and then sort of work from there so I'd worked in data and I've worked in education so education technology startup was the next logical choice but then they couldn't sponsor my visa so then that fell through you know real life intrudes and okay that little bet didn't work out and then randomly I got on the train to go to Reading to go to this Google developers conference even though I wasn't even a developer I'm not a software engineer I'm more into the data side of things and then I got talking with the organizer because as a girl you really stand out and I was like this sore thumb in a sea of men but then thankfully the organizer herself was a woman and so she came up to me and I'm like oh my god another one we have to get you involved and so that was a little incident that really helped me so she said okay well you can you know are I started out with are and she said well we're a developers group so actually developers don't know are it would be good if you could come and talk about your experiences with are and what it's used for so okay where is this gonna go I don't know but it turns out that they were actually working with Google and they put together this whole one-day workshop with Google and then I was featured alongside them you know like this little hanger on at the side and then but then I got to do a two-hour workshop talking about are and because I was talking to developers I managed to stand out because as developers are was new to them and so from there what do I do I don't know well it seems like I've got a combination of education and a little bit of data and a little bit of are and so again I kept on yeah are as a programming language for statistics yeah so okay so I kept talking to people and in the end I got in touch with the Singapore company that was like oh you've done training and you know are so can you come and do training for us and so okay this seems to be paying off so bye bye London hello Singapore and then I got my first real job in data analytics and now we work with NUS to put together their data analytics courses and for some reason actually listed as an adjunct associate professor but it's a lot better than it sounds like but the key point is that now I get to blend education with training with programming and I get to do a lot of research plus consulting which is like a dream come true for me but the reason why I'm sharing my story with you is if you want to get into analytics you know random walks and little beds you have to keep that in mind in my experience that has been the biggest lesson for me because it's all very well again like I said in the beginning to say yeah you can do anything women empowerment go go go but what do you do when real life intrudes when the resume comes in and the job description comes in and says sorry we're only hiring you if you have a PhD in computer science in this one algorithm or the resume comes in and says we want all these skills with her dupe and big data and Kafka and Spark and all that and you're like what is Spark what is Kafka you don't even know so yeah just do lots of little experiments and always be learning that's how you manage randomness and how you manage real life to get into analytics so okay let's start with what I was talking about first this is an exercise in mapping what is data so a key even amongst the experts they come in and we talk to them and you say what is data and nobody actually has a clear answer so again like I said this is a very simple question but it's not a trivial question and it's worth thinking about when you want to get into data because there are just so many different types of data people's first reaction is to do Coursera course say you want to be a data scientist and then move into AI but I want to illustrate through this session that you have that it's good to have a proper think about the landscape and I'm just going to map out the landscape for you so let's start with where people got your post-its so I'm going to start with where people are right now and then we'll sort of move on from there and take a tour of the data landscape so with your partner could you please take a couple of minutes to write down what you think data is and what are some examples of data okay so everyone probably has had some time to list down their thoughts what you think data is so I'm going to me and my lovely assistant we are going to get you guys to put some ideas out there so miss what do you think data is I think data is like a set of numbers or information that you could actually put together to like tell a story or to reflect like a sentence okay can we give her a song okay just in case my name is Phish, I'm not some random person so I'm going to play some more from this side and you look familiar so yeah you look familiar too um what we have brainstormed with our information is this is a random data that we can analyze and see and sometimes maybe massage it according to where we want it to go okay that's how we see data so we have numbers and we have this idea of massaging data so who knows what data cleaning is about who doesn't know what data cleaning is okay data cleaning is when your numbers come in and it's all in the wrong format your dates are like month and year but you want it to be day month and year then you have to get into the right format so that's what you do when you massage the data next let's get a few more going I want about 10 people to speak so any volunteers? yeah okay so data is quantified information quantified information is what I would call data is like okay information can be qualitative as in research or anything but if you put that research into numbers that's data okay can I give her a strong clap okay that's a very interesting point that I want to bring up because data is quantitative who agrees data is quantitative and qualitative who agrees okay keep your hands up okay miss why do you think data is both qualitative and quantitative okay because we can see the facts and evidence through the qualitative thinking okay qualitative and quantitative so traditionally quantitative means numbers right and qualitative means words especially if you are a social scientist so you're from a business background you collect your survey data you collect your opinion data and all of that is words so what happens when you can encode words as numbers then words can also become quantitative right so if you take out your phone and you use google translate or you use say a voice recognition software and you use xiaomi or you know okay yeah so when you use a translation app or anything like that or when you type a product review into amazon then you can actually model language by this is very mathematical but you can put your words into a vector everyone should know what a vector is you're very simple okay you put your words into a vector and then you can do cool mathematical things with that a vector or you can also apply statistics to your language so then I want the reason why I'm saying this is I want to push the boundaries of what you think data is because like I said it's not a trivial question if you want to get into data analytics you better know what you're getting into and so language is big nlp if you think about carousel or at sea or amazon they've got all those product reviews all of that is going into their natural language processing number crunching machine so if you're thinking about data analytics and you work in marketing or sales that may be something you want to get into okay so fish pick another person volunteer have a good discussion we just have some keywords so we thought data relates to like useful details information secrets numbers privacy parts complexity and yeah it's been like all those keywords relates to data so you said many keywords and maybe what if you pick three that you think is most relative to data what would you say what would you say kind of like point out I guess it's bits of information when you actually put them together I think those are very good points so we are now moving on to another definition of data you have issues like security and privacy and bits and bytes another interesting one that I want to expand so security and privacy does anyone work in cyber security here is anyone in an IT department working in IT admin yeah okay so if you want to work with what you have right as an IT admin maybe you manage user names and passwords does anyone do that or admin privileges if someone someone new comes into your company you have to give them their email address right and show them how to use outlook or whatever yeah so that also in itself is data because data and then you have how do we take care of it it's like a pet I see data as a pet to be honest it's my little pet I have to massage it I have to keep it clean so if the numbers are not right I have to get it all in nice neat rows I have to keep it clean and I also have to protect it so I have to protect data that's something that you might also want to get into because that is also in itself a whole different field and you have data on data you know how is the company performing in terms of cyber security so that's another definition of data to have in your little toolkit and also bits and bytes okay this is really geeky but who is familiar with somebody called von Neumann well it sounds like a really weird name to you or who in here knows about Alan Turing yeah okay so I see a few okay Alan Turing, von Neumann they all invented the computer like what we have right now they all invented the computer and this computer is based on the binary system like you know ones and zeros like if you were and yeah ones and zeros however you also have something called neuromorphic computing and so when people say get into AI and you say I want to get into AI well one thing to consider is that von Neumann architecture of computers right now which is based on ones and zeros doesn't actually correspond to the models that are being run by Google right now so when you talk about artificial intelligence it's not some cool thing that you have to get into artificial intelligence has a very specific definition and currently the state of art with artificial intelligence is neural networks everybody anyone heard of that before neural networks deep learning right deep mine alpha go all the buzz words yes so the algorithms that those machines are trained on have take up massive amounts of GPU and it's like this huge room full of computers because the von Neumann architecture I love saying that word the traditional computer architectures are not suited to these kinds of computations because the traditional computers are ones and zeros these algorithms mirror the brain and so they're more of a neural structure and so one thing that people are looking at is something called neuromorphic computing so if you want to get into data what is data is it something that you can process with traditional machines or do you have to look at familiarizing yourself with a new breed of machines and this is what I'm super excited about so food for thought again here's a different perspective to think about data if you want to get into it so one more person what is data I'm going to ask the gentleman to share his perspective I'm going to bring in information that has the potential to be used ok stop clap numbers and zeros so stop clap this is a theme isn't it information bytes, numbers, ones and zeros but we all know that that doesn't cover the full picture right so one more person from the side of the room any volunteers anyone else here I said I said data is the record of the real world in quantifiable formats quantifiable formats ok I think that's a good definition do you want to use a mic and repeat it to the room I said data is the record of the real world in quantifiable format ok very interesting information about the world in quantifiable format ok let's explore that for a moment ok quantifiable format but information about the world encoded in a quantifiable format so let's think about we've had language encoded as a vector like I said and what about images you can encode images in a quantifiable format you can can you encode music in a quantifiable format audio signals yes and what else is there can you encode feelings in a quantifiable format five stars four stars three stars yep in a way yes satisfaction maybe right yeah so I think that's a really good definition because if you think about anything you basically think how do we represent this mathematically or with numbers or even in a structured format that you can then manipulate yes ok so we have had a lot of ideas about data and to sum up I think we've got this idea of information and of quantifiability so I'm going to get you to open your laptops now and let's have a look at this dear data wifi here you call and okay for those anyone have their phones or no so while we're waiting for wifi to get sorted we are going to again talk to your partner about how does data apply to you so we've had this we've explored this idea of what data is remember from my sort of like story at the beginning if you want to get into data analytics you don't want to reinvent the wheel you start with what you have and then think about how you can move it into the analytics space so where are you coming from I'd like you to share with your partner a few thoughts about how data applies to you and what you want to do with it go crazy okay so these are the connection instructions and this is the website that it would be good to visit so who has not connected to the wifi yet okay any problems who has connected to the wifi okay for our next exercise I'd just like you to browse this website and talk to your partner about your favorite week so these these projects are organized by week so I want you to talk to your partner about your favorite week and why it was your favorite week okay so if you go to this if you go to this page then you can see a week of clocks, a week of thank yous a week of to-do lists, a week of emotions so pick a favorite one and talk to your partner about it anyone with no wifi anyone who hasn't accessed the is not working so for those with wifi problems it's probably because so many of us are trying to access the service at the same time so if you can share with somebody or browse when it goes forward that is probably the best solution right presentations so what was your favorite liberalization? week 52 a week of goodbye what stood out for you? it constitizes all the nice messages in you like one readable chart and it's really pleasant to see okay thank you stop okay so we've been at this for an hour and I think it's time we had a little physical break so if everyone can stand up it's a little cramped but sitting is the new smoking right okay have a seat again what person do I have a volunteer no volunteers okay okay could I ask you to share with us your favorite week so you see that she represented the complaints as musical notes and on the other hand you also have data as color right so could you if you understand how the data is represented can you explain to us what the musical notes mean oh okay okay so if we look at the description if you scroll down you can see how they come up with it so the key the key message I wanted to get across with this exercise is that data is not only all about computers actually pen and paper itself is a technology if you think about it for many many centuries it was the most advanced technology the cutting edge so let's not forget pen and paper and personally I always sketch before I approach a problem and so yes the takeaway is that data is everywhere and if you want to get started often art is another way of doing it data visualization and data journalism and storytelling is something really important right now so if you are into that by all means go for it so we've looked at sort of like very analog old school data now I want you to visit this website called Hint FM and honestly I'm a huge fan of Fernanda Viegas and Martin Wadenberg because they are sort of like a they're a team and they always turn up to conferences together and she speaks for half of it and he speaks for half of it they're sort of like this dynamic duo and it's really really fun to watch so Fernanda Viegas and Martin Wadenberg work with Google and you can actually see an embedding projector is high dimensional data is used when you use your machine translation app and like I said can you convert language into numbers and you can and the way people do that is to construct an embedding but what is an embedding you know honest question not many people know so this is a visualization to understand embeddings and what I actually want you to explore is this one TensorFlow Playground so has anyone here heard of TensorFlow yeah I see some raised hands right so TensorFlow is Google's machine learning platform and Microsoft also has a platform that similar is called CNTK and there are others as well I can't really remember off the top of my head but they're all open source so Microsoft or Google doesn't matter which one you use but to give you an idea of what is also going on right now we're moving to the other end of the spectrum play around with this is a neural network which is brain inspired computing that's all the rage right now so just have a play around first play so what it's actually trying to do is that if you have two you have a blue column and then you have an orange column and what you want the algorithm to do is to separate to recognize that this is blue and this is orange so you can imagine if you're in the fashion industry and you have two dresses and you don't want someone to sort it you want a machine to sort it then you would put this algorithm into the machine and then the machine will learn how to differentiate the two categories and this is how you're actually training the algorithm right here in your browser so have a play around with it and add more features or make it squiggly and then watch the network being trained and here you say what is a neural network so this tells you about it and then this is cool what library are you using so take about five minutes to see what it's actually doing read the descriptions so I think everyone has had a chance to watch all the little squiggles come together so the point of this exercise is to show you the other end of the spectrum so data can be really simple and it can be beautiful and it can be art and can be used to communicate but you can also teach you can use data to teach machines essentially what you're doing with massive amounts of data which is what people are really excited about is to basically teach them how to do this so all the new fangled alpha ghost stuff that you are learning about or that you read about in the newspapers comes down to something similar to this however as we've explored before data and analytics encompasses a lot more than just what you read in the news keep an open mind and this is not the only thing out there right now it's sort of like flavor of the month but personally I'm not too excited because firstly you have all that history behind you and secondly there's so much more out there so this is the cutting edge right in your browser how cool is that so actually this is the cutting edge but there's also the bleeding edge so if you look at this one Reinforce.js so it's a reinforcement learning library that implements common rl algorithms supported with fun web demos whatever that means okay let's break it down so everyone knows what data science is right and now hopefully who here hasn't heard of data science before who has who hasn't heard of artificial intelligence before right it's the next big thing right again it's flavor of the month but what exactly is artificial intelligence people are saying get into it it's the next big trend as if you were at the panel just now then everyone's really excited about it but again you know data what does data actually mean and artificial intelligence what does artificial intelligence actually mean so artificial intelligence has a very specific definition it means how do you how do you program an agent to function in an environment and recall that our definition of data before this was how do you get information into a quantitative format right previously we were working with the definition how do you get information into a quantitative format and then that's what people are excited about right because data brings information brings profit in many situations and now people are getting excited about AI but what exactly is AI AI is programming an agent to function intelligently in an environment so is that the same as data and does that definition gel with what you think AI is so this is reinforcement learning is the algorithm behind AlphaGo and AlphaGo sounds scary because it feels like machines are going to take over the world right but again what I want to dispel is the fact that hey you can actually train an AlphaGo like algorithm right in your web browser it's all actually just a massive matrix matrix multiplication so there's a lot of hype but what I want to get across is that it's important to look past the hype and have a think about people are saying AI is the next big thing but is AI second generation data science or is it a completely different field altogether so let's have a look at this library what are you actually doing so remember previously we had our playground and you were trying to classify blue from orange right right now what you're trying to do is if you look at parkworld dqn so this is your monster parkman and then something is coming along and trying to eat you so this is your little monster and then this is the agent that you're trying to train here so you're trying to train it to avoid this monster of doom right and you see it's avoiding it it goes green and it's trying to learn the boundaries this is the environment and this is the agent here so as you're training you should see it get smarter and smarter because it's learning from its past experiences so you see now the monster is coming to eat it and then it's turned red and now it's away from the monster so it turns green so what you're doing is that you're training it by rewarding it when it's going away and punishing it so to speak by when it gets to the monster the red part so this is also why I said data is like my pet because you also train it like a kid so I encourage I encourage you to explore more about it UnforcedJS is all in your browser and this guy Andrej Kapathy also has a course in computer vision at Stanford so if you're technical I also encourage you to check him out well check out his courses and his blog he's very good and now he's at Tesla so this is state of the art but again to emphasize you also have this this is also data so data is everywhere and hopefully I've gotten you to have a think about what exactly is data and how do you get into it and what it really means so another thing to look at is this one so I had hello I had a lot of fun is it okay if I speak right? I had a lot of fun doing stuff like chicken rice compared to and one thing you see about this is over the past five years but if you look over say the past seven days and you restrict it to Singapore and you look at so what I found really interesting about this is that if you look at it the spikes the highest amount of time that you see people searching for McDonald's is actually at four a.m. in the morning and here as well four a.m. in the morning and then it dips and then you get a rise again at seven okay people want their breakfast maybe but actually throughout the day it's pretty low and then suddenly at night you get oh no I I'm suddenly hungry where's the nearest McDonald's and you see the spike at four a.m. so this is an example of how this is why data gives you insights because you get an insight into somebody's behavior aggregated over time but what's also really nice is if you compare it to say chicken rice and you see that chicken rice seems to have seems to be pretty normal like what you would expect so you see okay people having dinner and then it goes down as people try to sleep and then somehow again five a.m. maybe people are getting ready for breakfast and then again another spike at 12 okay people are having lunch right so chicken rice follows the more normal pattern breakfast lunch dinner and then you have Bakute okay let's remove what I like about this is that you see for Bakute you don't see a lot of activity in the morning and then after that okay some searches for breakfast for lunch you have this really big spike here at 6 a.m. so you can see a story starting to form right for McDonald's it's a desperate midnight oh no I'm hungry what am I going to do kind of thing and then chicken rice is that all time favorite all lunch dinner you know doesn't really matter maybe in the morning and then Bakute seems to be a dinner thing so you see this spike in the dinner time and then for the rest of the day okay maybe 3 a.m. I don't know but throughout the day not so much and then at dinner people want to have Bakute so you see this gives you an insight into the role that food plays in our lives and also the habits of Singaporeans and what's going on in people's lives so this is an idea of how data is accessible and how it's really cool as well so have a play around with trends with your partner and pick one that interests you and take about 5 minutes to do that and then we'll share what you've seen this is my question about Google or trend that you just introduced based on the search that we did right these are the search that Google has actually did it by the search engine yeah so this is every like you know you google stuff and this is the data that they collected so it's not like the actual for example if you type what you type into the browser thank you so much thank you do you want to facilitate yeah sure thank you I want to share what the friends that you've served for volunteer do you want to be on it oh you have one okay this is school holidays we don't get fidget spinners and we go over the past 12 months the interest in fidget spinners actually exceed and it goes at one point may around may have 27 27 20 days cool anyone else do you want to stand up okay can I have your attention please hi so we're kind of like looking at political figures all around the world so Trump versus I think like an interesting insight that we discovered was that there was a spike during election period so I think there's a lot of searches on full trend recently there was one about and his brother anyone search for that I'm curious sorry you did okay let's share okay I did it for the father and the children we have actually talking up talking about yeah what does the measure talk about what's the trend about how much I think it's more search it's more of a search and the I'm actually still looking at it I'm trying to correlate it to really certain events that might have happened announcements that might have happened which is actually I mean that's my current hypothesis right some of them one of them would have said something mentioned something what what thank you can we have a stop please okay so through this you have an idea of how data is actually reflective of the human condition you can say it contains insights about human behavior what's going on in people's minds and so this is why data is special so another question I get asked a lot is how does data apply to me how can I use it in a way that's beneficial not only for my business but for myself and so to come back to my theme of always starting from where you are rather than thinking about things about data in abstract terms like my job or a career I thought okay let's start with yourselves so I'm sure you've heard of the quantified self movement Fitbit everyone's heard of Fitbit right track your sleep track your steps track this track that so if you could track something what would you track and this is something again that sounds simple on the surface but actually I feel is not a trivial question so again like what is data sound simple but actually encompasses a lot so tracking what matters is again what matters is a sound simple but it's actually not a trivial question so to give you an example if you have a Fitbit and the quantified self and you want to track right the first thing you think how many steps did I eat my vegetables today how many hours of sleep who here is really interested in how many hours of sleep you got okay let's flip the question are you more interested in the number of hours that you've slept or the quality of your sleep right so if you buy a Fitbit and it tells you how many hours you slept is that data that you want then that's probably not data that you want so to drive home the point the point of this is to get you thinking about not only what is data we've gone through the whole gamut of what is data and I want you to think about what is useful data and a key thing that happens in work a lot is people say oh we have a lot of data what can we do with it and then you go into it and none of the data is useful and that's kind of a bummer because you could have spent all that time collecting real useful data so again starting with yourself what do you want to track so I had to think about this and it was like number of times I said thank you does that can I use that to show whether or not I'm being a nice person what about how many times I said please or how many times I opened the door for somebody things like that and that's how I if you think about the dear data project you can use that for inspiration they have a lot of metrics so for this exercise I'd like you to take about 5 minutes to think about if you're working with the quantified self what metric is meaningful to you how will you measure your life it's a meta deep question did my kids go to uni that is one metric did my kids turn out to be good people that's another metric and think of the metric we'll have, we'll get people to share and ideally try and be creative maybe with the teeth maybe with the teeth so I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I I 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This is the ultimate guide on how to shoot a soccer ball. In this video I'll show you how to improve your shooting accuracy, how to improve the power in your shots, how to be more consistent with both feet, and how to improve your weak foot specifically. I'll show you how to shoot free kicks and how to practice shooting by yourself so you can start having more confidence in front of goal and scoring more goals when you play. If you don't know about me, I used to be a huge underachiever, but through obsessive self-improvement I found my success. Earned a college scholarship, played for my national futsal team, a YouTube channel with over 100 million views I've helped players worldwide and I'd love to help you improve faster and achieve more. Play. Attack the ball. You can usually tell if someone's going to have a good shot simply by the way they approach the ball. Before the opportunity comes you have to be ready for it. The quality of your movement into the ball will translate into the quality of your shot. Think about being light on your toes moving towards the ball and attacking it with purpose. Step number two, focus. It seems obvious, but the truth is most players are already looking at the back of the net before they even make contact with the ball. When it's time to shoot you need to lock on to the ball. Focus on the ball until you follow through towards your target. Even more so, focus on a specific point on the ball that you want to hit. Hitting the ball even a fraction to the left or to the right will produce a different result than you want. Pick your spot on the ball and keep your focus until the shot is complete. Step number three, control your body. Most players only focus on their shooting leg and foot. You want to focus on your body positioning. There are two things specifically I want you to focus on. First is your planting leg. As you approach the ball make a strong plant and stabilize yourself with your non-shooting leg. Second is your upper body. Place your upper body over the ball and lean forward towards the net. Step four is a strong impact. To produce a strong shot you must have a strong foot. More so, you must keep a strong foot through impact. Many players will lock their ankle and make their foot strong, but as they strike the ball their ankle goes weak. Flex your foot, point your toes down to the ground, make your ankle strong and tighten your leg. Keep that strong impact as you make contact with the exact point on the ball that you were focusing on in step number two. Step five, follow through. As you push through the ball, keep your foot flexed and follow through towards your target. Follow through with your foot, but also your leg and your shoulders. The natural tendency is for right footers to pull their shots across their body to the left and left footers to pull their shots across their body to the right. Focus on a straight follow through and you will produce a straight shot. Step six, remember to think about your body. Where is your body directed when you follow through? If I'm swinging and I'm falling through like this, like a lot of us do, the ball is going to go there. Or if I'm too open like this, the ball is going to go there. Think about, okay, where did my body end up? If you were like this and the ball went over there, that's because you opened up your body too much. So get your body going towards the goal, but I want my foot to come through the ball and point towards that corner. Okay, so when I'm done making my shot, my foot should be pointed over there. Guide the ball, push the ball there. Don't just hit it, don't just hit like a snapshot. Don't just hit it like this, stop your follow through and hope that it goes where you want it to go. Okay, you want to push it there, guide it there with your follow through. So think about those things. Flex foot, bigger backswing, and quicker swing. And most importantly, get your body over the ball if you're thinking about hitting it hard. So understand, technique produces power. Power comes from technique. It doesn't come from trying to kill the ball as hard as you possibly can.  You shoot the exact same way as you do with your stronger foot. You just need to learn to build the muscle memory and the range of motion and the strength and the flexibility in your weaker leg. Let's talk about foot technique because it is the biggest mistake players make when it comes to using their weaker foot. If you want to have a strong shot, you must have a strong foot.  Flex foot, toes pointed down, ankle locked. Just think about making your foot rock hard. This is going to help you produce stronger shots. Now, as you make contact with the ball, you want to keep your foot flexed through the ball. So you want your foot flexed and strong before you make contact, as you make contact and as you push through the ball. Most players will let their ankle and their foot go weak as they make contact. This will create a lot of backspin and make your shots very weak. So if you want to have a strong shot, focus on keeping your foot flexed through the ball and not letting your ankle go weak like this. The other thing you want to focus on is making the point of contact actually on your laces.  This is something that you will develop over time. You'll just have to build the muscle memory again in your foot, build the repetitions and just keep practicing. So you may just want to focus on swiping the grass with your laces. Some other mistakes, players may be made. If you like this content, check out the soccer success planner. You can download it for free. There's a link in the description below and for advanced training, check out the online soccer kicking with their weak foot. No backswing instead of a nice flowing backswing or they're kicking their butt. They're kind of just lifting their foot through the ball. This is never going to generate any power. So focus on having a nice big backswing. The next is your point of approach. You're coming at the ball too straight. So if you're always pulling the ball across your body, you're probably approaching the ball too straight. It will help you if you approach from an angle like this. This will help you get your shots on target and be more accurate and consistent. So think about your angle of approach. Hello, but on the bottom third, if you're hitting and it's going too high, you're probably hitting too low on the ball. If it's going into the wall, you're probably hitting too high on the ball. So analyze your technique and make the changes. But again, I'm hitting with the inside of my big toe there, bottom of the ball. Now, the follow through for me, this is the most important part of getting that whip on it and getting it to come back down. So you'll probably see some guys that will take a free kick and they'll land on that shooting foot, something like that. That's what I try to do, but I really focus on carrying my follow through towards my target. So instead of hitting the ball and jumping and stopping dead on the spot like that, I'm instead trying to push through towards my target. So I'm really guiding the ball and pushing that ball on that path that I wanted to take. And then I'm landing on that shooting foot like I demonstrated, but I'm going forward with that technique. So it looks something like this extremely valuable when you're practicing shooting, especially for a beginner, unless you have 20 balls. If you have to hit it in the net, as I've said before, hit it in the net, run and get your ball, run and go back, do it again. You're not getting as many repetitions as striking on the wall. It's back already. Another shot, another rep, more reps, better skills. So I'm going to use a wall. First one, open touch. Second one, two touch. So take your shot, good technique. Now you have one touch to set yourself. For the next shot, one touch to get out of your feet and strike it. So if my first touch is not good enough in a game, I'm not going to be able to get my shots off. That ball is coming to you. You want to score, but you're already thinking about shooting. You didn't even think about setting yourself. So when that ball is coming to you, focus on this touch. So important to get out of your feet so you can get the strike that you want on it. Okay, so two touch. The next shooting drill I'll do is one time shooting, first time. So as that ball is coming to me, I don't have any touches to set it. I have to strike it and I have to make it go forward. Start with a small distance. Again, don't worry about power. Focus on good technique. The pure my technique is, the sharper my technique is, the better the power will be and this will transform, transfer to every style of shooting. Okay, so it seems like I'm not hitting the ball hard. I'm not. I'm just focusing on making good contact. So when I do want to add the power, I have that technique there, that firm foot through the center of the ball. Another drill you can do is shooting after a skill or shooting off a dribble. Okay, go again.  Last one I'll demo today is shooting off a turn. So as that ball is coming, I have to practice turning, striking, because you'll find this is a different skill than just shooting straight forward. So it's coming off the turn. Control the body and strike, but I would start like that. Play here and what will happen when you're doing that is the tendency is here overcompensate and you end up there. So really focus on getting your shot going straight towards the goal. So again, here, focus straight. Yes, quick turn and I want better contact on my right. These are some soccer shooting drills. If you like this content, check out the soccer success planner. You can download it for free. There's a link in the description below. And for advanced training, check out the online soccer Academy.