Just as there is no Data Science without data, there’s no science in data without mathematics. Strengthening your foundational skills in math will level you up as a data scientist that will enable you to perform with greater expertise.
When I got into Data Science and Machine Learning, anything related to math and statistics was something I had visited for the last time around 10 years ago, and I reckon that’s probably why I found it so hard at first. It took me lots of hours of reading and watching videos to get some ground understanding of how things happen for a lot of the tools we daily use in the industry. However, it got to a point where I felt the need for developing a solid understanding of what was happening underneath all those “imports” and “fits” I was doing on my Jupyter Notebook. So I decided it was time to wipe the dust off my math knowledge.

#bayesian #edx #probability #python #statistics