Statistics · Columbia University
Learned fundamentals of python and applications to data science.
Data science and analytics (visualization, sql, api, linear model)
some basic knowledge and technique to deal with data by python
Using Python to access, retrieve, wrangle, and analyze data.
This course was a great deep introduction to python. I learned various techniques and packages within python and how to apply them to different datasets.
These are skills worth knowing and better than trying to learn on your own through an online course.
Basic python related to data analyse: Pandas, Numpy, API, SQL, Visaulization, model fitting.
The course covered python basics such as for loops, while loops, lambda functions, and libraries such as numpy, pandas, seaborn, mathplotlib, scity learn, etc. As well as a lot of WLS vs OLS discussions
basic Python data structures, visualizations, SQL and API
- Participant (10%) Random Quizzes In-Class Contributions Online Discussion Forums