No application right so unless and until seeing finally you're not trying to become a theoretical scientist right you're trying to become a business professional or a technology professional who understands this phase it can supplies so you have to dig deeper to understand what is or how well are you going to learn the application aspect of what you are learning and then choose what is the best option to you secondly something I've spoken about the foot avoid superficial learning and this is something this is a theme that you will see me talk about a lot more because there is nothing more detrimental to your career than starting your learning on the wrong foot alright so go deep understand the depth understand the foundation.




If your foundation is strong enough you can keep building more and more over it but of your foundation itself is shaking you know anytime there is any there are any questions for post at you you will go back to try and you a you'll struggle and then be your next immediate action would be to try and build your foundations again which is something you should have done the first track first time around itself which is why I keep repeating that avoid superficial lying lastly don't fall for falsified claims right different companies will use different baits and marketing you do your own research use your own common sense try and understand about the curriculum the faculty how the industry perceives again then make it don't fall for any false promises you know many times companies will use terms if the short placements and all these are all you know these are absolutely falsified claims right because nobody ever can assure you of a job it's just as simple as that and being bottom of the profession you of course not better than me alright so coming to the topic at hand what are the five mistakes that you should avoid while learning online the way I have structured this is that there are.


I have five placeholders and I will go a little deeper into each of those and hopefully my objective by running you through these slides is picking your interest so that you start asking the right questions to yourself and of course to the options that you're considering the first and foremost is content as commodity right so don't fall for content if if people could learn by quantity alone I believe the entire world should be learning by watching YouTube videos right there as YouTube is apart from the entertainment aspect to it is a fantastic treasure trove really good content and there are other options as well like Khan Academy and all right so content exists and content to the commodity right but people are not learning and there is something to learn from that right so don't go only at how the content looks or what you understanding the concept of course it's an important piece are not denying its importance but that is not you know a sufficient condition as they say a programming language.


It is not a sufficient condition for you to learn well the other aspect you also need to see is that you know there are very poor learning outcomes in pure content-based online programs and this is this has been splashed all over the Internet you can do your research as the reason this is purely this that you know it is not lack of content or lack of good quality content that is preventing people from learning or off-screen these skills these are these are essentially hard skills to acquire they require a certain amount of effort dedication concerted plan and discipline for you to learn these skills that it takes time right so so don't think that if you have 40 hours of content you will be able to quickly go through it and you know you'll be able to crack the next interview that comes for you the second mistake that you should avoid or the aspect that you should think about is what I call as a doubt belly of online education risk completion rates so we we briefly boast about this some time back when.


I was telling you that you know the best completion rates that exist in online programs at the scale are about 25% which means only one in four people actually ends up finishing a course so that has to be something that you do keep in mind when you make a choice because what that means is you know you were already the odds are already against you right and you now have to face those odds and actually emerge victorious and the recurring problem here that we see is that in in most online programs candidates are just left left to their own you know there's a Content dump that you can access and there could be some periodic webinars or live virtual classes just like a baby doing right now that happens but more so you know the you completely left to your own devices in terms of how you learn how you complete the program and and you know because of a lack of time or or whatever be the reason candidates do have or do suffer from no motivation to complete the program the third aspect which I again made a brief mention of earlier is that learning should never be superficial and let me let me make a case here most of the candidates and I talked to you-know-who who come and meet me.


I get to meet them elsewhere come in saying or making statements like you know I want to learn and I'll takes and fall for which I am doing this course in our of course in sass or I want to get a job as an analyst and that's why I'm doing this a certification or our certification of Python certifications and so on I think the first important distinction that you are to make in your mind is that learning tools is completely different from learning analytics tools and I have repeatedly said this on public polls is that tools and technologies I feel are the easiest aspects to that and if you have to learn just R or SAS or any tool that is used by industry.


I think you can just learn it by yourself as long as you from a programming background you don't need any help there is just so much free content available sets so it's important to make that distinction and be clear in your own expectations that why are you doing this program and what are the skill sets that you're looking to gain right again it is important to know tools because without learning R or size you want people to work that volume of it or all of that aspect is fine but then don't you know don't muddle learning analytics with learning tools going to small aspects of learning analytics and Geoscience the other aspect here of course is the tools keep changing alright.


I'll give you an example here about four filled-up years back when we started our first analytics program right SAS was our primary tool of instruction all right all our programs used to happen in SAS but over the years we have seen that we have gained much more traction and the industry demands knowledge for us in more cases than SAS and hence we had to move our primary tool of instruction from right so don't be hung up on what tools are you want to learn or have a litany of tools you know that all of these tools will I learn aspect though the fact of the matter is that learning tools is fairly straightforward and said what is tougher is learning the science of analytics learning statistics.

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