A hot data science skill on all the job boards is knowing Python. It sits brightly besides SQL and R as a need to have but why is it so popular? As a Marketing Data Scientist, how will it help me crunch statistics and other maths questions?
Python.org gives us an executive summary, but this is vague, more of a quick marketing promo, searching elsewhere one of top results is from Datacamp, it gives a good starting point with 40+ statistics problems, including my personal favourite Statistics:
The topics that this blog post includes and will list resources for are:
- Statistics and probability theory,
- Probability distributions,
- Hypothesis testing,
- Statistical modeling and fitting,
- Machine Learning,
- Regression analysis,
- Bayesian thinking and modeling, and
- Markov Chains
I’ll let you know how I progress!
Viviane Van der Meeren 