I get this question a lot – How do I shift to a data science career. I have been doing data analysis since 2004 (in SAS) when we used to call it business analytics , and since 2007 in R, Since 2014 in Python, by when we re branded business analytics as data science. So here are a few basics to people trying to SHIFT to data science.
My answer is learn coding, learn math, and most importantly know when to use what for insights. Data scientists are as good as the insights they create or miss not the code they write.
See this first
A slideshare I put forward last year for Summer School
Do this self examination-
- What are you good at – programming , stats, or business
- What are you bad at- programming , stats or business
- What can you learn and at what proficiency
Learning R, SAS, Python is easy but there is a confusing clutter of resources out there on the internet.
Dont wanna be SAS Certified (its just 100$ psst)
Here is some free SAS Training by Decisionstats
There is no certification in R or Python, though Hadoop has it just like SAS has it.
For R- learn R and RStudio till you can master some of the code here
or see all the R packages here at CRAN VIEWS https://cran.r-project.org/web/views/
A shorter tutorial on Python by the author is here
Learn PANDAS and SCIKIT-LEARN example https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks
Learning Statistics and Techniques
Data Mining in R
Where to learn machine learning
This comes with experiences and domain research and study.
I hope this helps. I will follow with specific answers to specific career questions in data science soon.