Infographic – Learning Plan 2017 for Intermediates in data science

Kunal Jain 02 Feb, 2017 • < 1 min read


We believe, learning should never stop. This plan is for people with basic knowledge of machine learning or deep learning. You can advance your learning this year using this plan.

Depending on your skills and learning agenda for the year, you can choose the area you to learn. The plan starts with various skill assessment and makes sure that you are on top of data science domain by end of the year. The plan contains both theoretical as well practical examples. We have also provided you with resources / tests to apply your learning and benchmark yourself.

This learning plan should provide a structured path to anyone who wants to learn advanced concepts of machine learning, deep learning and data science. To download the learning plan click here.

Access the complete plan here

Learn, compete, hack and get hired!

Kunal Jain 02 Feb 2017

Kunal is a post graduate from IIT Bombay in Aerospace Engineering. He has spent more than 10 years in field of Data Science. His work experience ranges from mature markets like UK to a developing market like India. During this period he has lead teams of various sizes and has worked on various tools like SAS, SPSS, Qlikview, R, Python and Matlab.

Frequently Asked Questions

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Responses From Readers


Srinath 18 May, 2017

Hi Kunal,I am currently trying to make a transition into data analytics. I have been advised to start off with Business Analytics involving SAS, R, Excel, Tableau, etc... along with Statistics with basic machine learning and I intend to eventually include Python, Advanced Machine Learning, Big Data, Hadoop, etc... and make the transition to a data scientist. Kindly advise if I have the right approach. Business Analytics -- > Data Scientist

Chetan 27 May, 2017

Hey! Thanks a lot for the useful information. Really helps!! I wanted to ask : is there a specific reason for specifying flask framework particularly ?

hammad zahid
hammad zahid 30 May, 2017

nice guide. thank you very much

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