Tutorials are targeted for beginners, so I found the videos extremely helpful to get a grasp of the underlying principles of the concepts.

Welch Labs (They have good tutorials on “ Learning to see”, “ Neural Networks Demystified”.

Harrison Kinsley (Again might be mixed opinions) Overall, they are good for a kick-start, but I felt that these types of Youtube tutorials might be a bit biased on how they approach to solve a problem, how they tackle it.

Siraj Raval (There are mixed opinions, but I still think it’s a good appetizer).There are different categories that you might find useful. MOOC (Coursera courses)Ĭoursera founders Andrew Ng and Daphne KollerĬalculus One (I wasn’t paying much attention during my math classes, and I definitely needed refresher.) Basic Statistics (I heard of it once or twice, but couldn’t say I know anything) Machine Learning (It’s that famous course by Andrew Ng, but at around week 6, I realised that I really need to have some more basic knowledge on programming, math, stat, so I put it on hold) Python for Everybody (This is a highly recommended specialisation(5 courses), if you are like me, coming from non-tech background, this is such a good introduction to programming with Python) Youtube Channels “I need to be a part of it”, that’s what I thought and still believe in it. Considering we create same amount of data up to 2003 in just two days(as of now it might even be 10 mins), and only 1% of them is analysed, the field is full of possibilities. So intrigued that I even decided to overcome my long-term fear of Math and Stat. Then why am I even studying data science? I am so intrigued by the concept of “gaining insights from data”. So through my whole education and experience I was not that close with Math and Stat.

And I have been working in fashion as merchandiser, buyer. I wrote my thesis, but it was more literature review focused than applying quantitative research methods. I studied management for BA, and curation for MA. It might be a myth to say that some people are more linguistic than mathematical or vice versa, but that’s what I felt. To be honest, Mathematics and Statistics were not my strong suit in my student days. I don’t have degree in Statistics, Mathematics, Data Science, Engineering, Economics, or anything similar. I have started studying data science quite recently, around two months ago.

Khan academy statistics youtube