All mastered analytics in you know 40 hours I think the first distinction you've got to make is that you cannot learn analytics data science machine learning or big data in 4050 hours it takes a lot more time than that right so your learning cannot be superficial because if your learning is superficial you know your outcomes are going to be incomplete which means that anytime you know try to make a transition or go to an interview you know you will see how shallow your learning is and thereby you'll have to go back to the drawing board and learn even so as it stands with all good education you know you have to go deep you have to build a strong foundation and the real caveat here is that avoid superficial learning the second problem of course with online programs globally is the completion rates which are quite abysmal, to be honest.

So most online programs even the big ones like Coursera Udacity for that matter write report completion rates at best of about 20-25 percent right which means only one in four candidates actually goes on to complete the program the other three you know either drop out or left behind and there's a reason for that which we covered in our amount of the upcoming slides and the second aspect that the industry question is a lot is the academic rigor you know sure you've done this online program from somewhere but what does it really mean to recruiters right how do they know that you are the one who basically did all the assignments that you actually learned something and you know basically anybody ready to pay gets a certificate right so so where is the Academy rigor.

So that again is an important aspect of how you should evaluate online programs and how you should make your decision but more moronic a few slides later and the third option is the blended program which again a few top institutes in India including Great Lakes language learning provide and these are essentially longer and more exhaustive programs these are more like you know you could say parallel to like what a master's program would be for executives they go much deeper into concepts but of course the flip side is that it needs a lot more commitment from you in terms of time and effort and also that these are usually priced higher as compared to the online variants so these are the three broad delivery formats that exist today for you to learn online and depending upon what suits you and what is your learning behavior that is extremely important so you should make a choice so before you start learning you know before you even decide that, okay this is the course that.

I am going to do I've often seen that people missed the very first test and the very first step is this that you have to ask yourself or more importantly you have to be very clear as to what do you want to do with this education that you are receiving right then the moot question here is that why are you looking to learn analytics and that is a course one person and more importantly what do you what are your expectations within Morton do you think is going to happen to post the course in your career so avoid the herd effect you know I often see so many candidates especially this is true for the younger folks wherein they have not done enough of their research they're not very sure about the reasons why they want to learn and I think they just want to do it because their friends or peers are doing it or because they've heard this buzzword almost daily and they know very little about.

So avoid that because unless and until you are sure about why do you want to learn and what do you want to take out of it your learning will be suboptimal more importantly your outcomes will be suboptimal so it's important to research you know read more about the area we understand what are the opportunities that exist explore more companies that are working here you know look at the kind of job descriptions they are posting online see what are the skills that they are looking to hire for right and then make a decision if those skills that are there in demand is that in sync with you know whatever you bring to the table and finally there is no substitute to talking to more people so try and talk to your manager seniors peers mentors anybody in the family who works in this area gets a good understanding of what's happening in the industry.

What it means for a professional like you and when you look at you know career outcomes after doing an analytics program we also need to be sure that all you need to understand is there are two different tracks that professionals can pursue you know in analytics companies organize X roles one is the technology track which is where you can be focused more on the technology the Big Data technologies especially write and build your career as a technology professional right so roles could be like a big data architect or a data engineer a big data engineer and so on like we're in you need to understand analytics but more importantly you need to understand Big Data technology right so so that is one track that exists the other track that exists as a business track.

Where in you know your ultimate objective is to use data and derive results on influences right for that of course again you will have to have a very strong understanding of analytics and data science and you should be you know Bob you should be knowing how to work on tools that are used in data science whether it be R or SAS or you know tableau for visualization or any of these again the idea here is not to make a make your technology professional analytic the idea here is to make you more like a data scientist or a business analyst and for that, you need to really be strong on your analytical techniques and it's understanding and you need to have a hands of hands-on exposure on tools so I often get this question from candidates that okay so if this is the lay of the land if these are the different options that exist what could I recommend which is the right way to learn unfortunately there is no recommendation that.

I can give that can work at a mass scale you know learning is different for everyone because you're learning behavior and expectations are unique from the candidate right next to you so you need to first understand that you know what is your learning behavior and let me talk a few lines about learning behavior for those who don't understand what that term means learning behavior as as as the words mean is basically understanding your behavior as to how do you learn and when do you learn the best right so if you are a self-starter who can you know to learn all by yourself you know maybe you never need to come to the classroom right if you are someone who needs hand-holding or who can learn only better in a group who likes interacting with people then you need to look at options that will facilitate those right.

So that is the first thing you need to understand the second thing is learning outcomes you know what kind of learning outcomes are you looking for by doing this course or program again those learning outcomes that the course is going to help you achieve have to be in alignment with the career tracks that you want to pursue right if these two are disjoint or also good again all the time effort and money that you spend in learning every time to adopt and then there are a few no-go areas that I I would outrightly want you or warn you against first and foremost is avoid courses or options there are only content with little.

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