Statistical Thinking For Data Science · Statistics
basic statistical concepts and basic python data analysis
I learned statistics basics, and how to code Python.
Learnt briefly about statistical thinking and reasoning through the scope of data science Skills- Somewhat understand Python
Coding with Python and Statistical Analysis
I learned how to code and create data visualizations in python and basic statistical concepts.
How to evaluate data beyond mathematical perspectives, evaluating quality of studies and accepting uncertainty
Advocates use evidence and change using sample space mean error and is absolutely a necessity for all students at Columbia University.
The lectures were really confusing. I had to teach myself most of the material.
The course presented an introduction to basic statistical concepts and intro to the field of data science. Also, the python lab introduced us to basic coding in python and statistical analysis.
I very much recommended this course to non-stem major students who wish to fulfill the GE. Prof is nice, really nice.