How I start my journey to data science and some great resources to get started.

I started to get interested in data science when I finished one of my first MOOC courses, Data Analysis and Statistical Inference. It is a great course, which introduced me to statistics and R, the programming language for data science. Since then, I haven’t stopped. I continued with Data Science specialization on Coursera and The Analytics Edge on Edx, both inspired me and eventually lead me to the world of machine learning. I was so amazed that I, as a chemist, decided to change my career path and start over as a data scientist. I started to learn serious programming skills with Python and gradually, a new world is opening up for me.

If you also want to start your path in data science, check out the links below. Also check out my new blog about my journey to data science! There are tons of resources I shared. Enjoy!

General Assembly Data Science
The Open-Source Data Science Masters
Computational Statistics in Python
Udacity Data Analyst Nanodegree (General)
Data Science at Scale Specialization (General, some background needed)
CS109 Data Science (General, yet advanced)

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Comment by Louis Swanepoel on December 14, 2015 at 11:37pm: Hi Katrina,

You are following more or less the same path that I laid out for myself, you are just a bit ahead of me, I was also thinking of blogging about my experience while educating myself and I like the simple layout of your blog with good content! Well done!

Comment by Katrina Ni on November 10, 2015 at 11:32am: Thank you! That is of course an excellent MOOC. I talked about it briefly in my blog. I wish it uses Python instead of Octave though.