Stat Comp & Intro Data Science · Statistics
Basic R skills, basic statistical modeling
An introduction to Python (not R as is in the course description). Some Python packages like sklearn. Some visualizaion. Best practices for statisical analysis.
The basics of R and knowledge of Stat computing and modeling.
All the basics of R and knowledge about statistical computing and modeling.
simulation and statistical computing techniques, data pipeline and design, sampling techniques, related python techniques and packages
I mainly improved my python skills and learned some theory behind what we do.
This course is an excellent introduction to data science. From data acquisition to data wrangling and modeling, it allows students to think like a data scientist and obtain basic Python computing skills to potentially work in the industry.
basic statistical computation and data methods.
I learned how to implement a lot of statistical methodologies in R. I also learned how to view data in a new way: the way it is done within the field of data science. It was a difficult class, but it was a good opportunity to expand my horizons.
Python random variable simulations, pre-processing, sampling