It teaches students how to explore data scientifically and shows the importance of data analysis. It also explains programming and data analysis in Python. The topics included in this course adopts a breadth-first approach to offer a big picture of data science. Specifically, at the end of this course students will be able to:
- Understand the basics of Python programming.
- Understand important statistics concepts such as sampling, hypothesis testing, and confidence intervals.
- Understand experimental design to gather data.
- Use appropriate classification and inference tools to analyze data.