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I am a student with a master degree in biostatistics. I am interested in data science. I know SAS and R. No experience with python. May I ask for your experts' advice on how to teach myself data science from zero, please?

Any advice is much appreciated.

freezingswallow
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  • This topic is a bit too broad, and has been touched upon in many other posts, particularly: http://datascience.stackexchange.com/questions/9435/how-to-self-learn-data-science which was also closed for being too broad. – j.a.gartner Sep 13 '16 at 18:04
  • Just start with an intro course - there are lots of free MOOCs offering data science classes. Then you will have more specific questions which might be answerable, and you will know enough terminology to ask them. – Neil Slater Sep 13 '16 at 18:14

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In order to learn data science you should know about main tools and ideas in the data scientist's toolbox. Two steps which most newbee's follow are:

  1. The first is a conceptual introduction to the ideas behind turning data into actionable knowledge which involves following steps:

Getting and Cleaning Data,Data Analysis,Reproducible Research

Statistical Inference, using Regression Models and Machine Learning

  1. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio.

I would advice you to complete a general course on data science from any website or tutorial you find easy for example I personally like this course: https://www.coursera.org/specializations/jhu-data-science

And then start building some projects of your own for example in my free time I build a lot of small data science projects playing with any available data like US census, petroleum data etc. For example see following link for one of my many data science projects: https://arjun-chaudhary.shinyapps.io/Data_Analytics/

Arjun Chaudhary
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