By the end of this course, students will be able to
- Take tabular data, clean it, manipulate it, and run basic inferential statistical analyses.
- Understand techniques such as lambdas and manipulating csv files
- Describe common Python functionality and features used for data science
- Query DataFrame structures for cleaning and processing
- Explain distributions, sampling, and t-tests