Learning Statistics/Math for a Computer Science graduate(aspiring Data Scientist) who has absolutely no Math background

I’ve tried my best to compile a list of resources( from Reddit, random blogs, KDNuggets, AnalyticsVidhya etc) and will love to hear back from you guys on from where exactly I should start learning. Just a one line intro on myself : I’m working as a Business Analyst in a retail firm right now and my work revolves around SQL, Excel and Tableau. ​ I found usually Computer Science people who have no Math background use the top down approach to step up their game, which means they use resources that have less Math theory and more of implementing the Math in real life scenarios and then learn the Math that is going behind that application. In alignment with the top-down approach I found the following resources : https://app.dataquest.io/path/data-scientist : DATAQUEST has a full blown path which includes Python basics, Data Cleaning with Python, SQL, Visualizing data, Probability and Statistics, Calculus, Linear Algebra and just so much more. I don’t really know how much Math heavy this course is, but the reviews that I have come across so far have been good. https://www.amazon.com/Think-Stats-Allen-B-Downey/dp/1449307116 : This book is named THINK STATS and is basically a Python heavy book that teaches stats. https://www.amazon.com/Discovering-Statistics-Using-Andy-Field/dp/1446200469/ref=sr_1_2?crid=2MQVY5ZKAOTUR&keywords=andy+field+statistics&qid=1560924739&s=books&sprefix=andy+field+st%2Cstripbooks-intl-ship%2C409&sr=1-2#customerReviews : Discovering Statistics by Andy Field – Have read excellent reviews on this book by many saying this is one of the best introductory textbook to Statistics. https://www.amazon.in/Statistics-Plain-English-Timothy-Urdan/dp/1138838349 : Statistics in Plain English – This one’s really not a top down approach book, but I have read excellent reviews about this book again, and as the name suggests it is not a very theory heavy Book. ​ In alignment with the bottom up approach I found these resources : https://mml-book.github.io/ : This book is still not fully written, but the reddit post under which I found this book had only and literally only positive things to say about it. Looks very very Math heavy to me though 🙁 https://projects.iq.harvard.edu/stat110 : Stat 110 MOOC by Harvard along with the book Introduction to Probability by Joe Blitzstein which is to be read hand to hand along with the MOOC. https://www.amazon.in/Introduction-Statistical-Learning-Applications-Statistics/dp/1461471370 : Introduction to Statistical Learning – Got recommendation to start with this book at various and various places. Many people said this is the GOAT book for beginners! ​ If you have come so far in the post, thanks a lot for reading, any recommendation regarding the approach(top-down or bottom-up), resource(book,MOOC) anything if you can share I will be glad to hear. My biggest fear is I also don’t have any background in Linear Algebra and Calculus, and at quite a few places I read I should first get the Linear Algebra and Calculus basics cleared before diving into Stats. Please let me know if you have anything to say regarding which resource among the above mentioned ones I should go for, or any other resource that you think can help me! Thanks a ton !!! submitted by /u/MavSidharth [link] [comments]

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Nevin Manimala

Nevin Manimala is interested in blogging and finding new blogs https://nevinmanimala.com

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