Statistics · Columbia University
I learned how to use R for data analysis including for loops, if/else statements, graphing, writing and using functions, scrapping/API calls, and statistical tests.
I'm still in the process of knowing what I learned since there's a lot of material for the finals, and they are complex.
basic statistical concepts and basic python data analysis
Lot of R syntax and statistical concepts
I learned statistics basics, and how to code Python.
This class offered a very good introduction to R programming. I have learned so many new skills and have gained a very good understanding of R.
I learned about what makes a quality study and how to conduct solid statistical analysis.
Learnt briefly about statistical thinking and reasoning through the scope of data science Skills- Somewhat understand Python
Coding with Python and Statistical Analysis
In this class, I learned how to display and describe data, the normal curve, regression, probability, statistical inference, confidence intervals, and hypothesis tests with applications in the real world. I learned to grapple with uncertainty using mathematics and how to reason with / understand better situational bias.