Essential skills for undergraduates: Foundations of Data Science

Grading is generally considered generous, as many students mention getting A's or B+'s with minimal effort, especially if they have reliable teammates and good self-study habits.

The workload is moderate to light; some students find it manageable, while others feel it can be stressful due to assignments and group projects. Weekly assignments are not heavy but require self-study for those without prior knowledge.

Assessments include weekly assignments, a group project, and open-book midterms and finals. There is no final exam.

The teaching quality varies; some students find the lectures engaging and helpful, while others feel that the content is disjointed or confusing, especially for those without prior knowledge. The professor's teaching style and clarity are a significant factor in student success.

Choose good teammates to ensure better grades on assignments and projects. Self-study is crucial, particularly if you lack background knowledge in Python or statistics.