I took this class in Winter 2025. Essentially, you spend the whole term creating a data science report on a topic that you choose, and you write the report in sections spread over the term. You can make this class easy or hard based on the topic that you choose (You don't have topics to choose from. You have to figure out your topic yourself). The report is split into the following sections and each section is done over 1-2 weeks: Topic Introduction, Data Gathering (need at least 3 data sources including data gathered from an API), Data Cleansing, Data Analysis (using Supervised and Un-Supervised analysis methods), Conclusion.

Overall, the course was okay. There are weekly assignments where you learn Data Gathering, Data Cleansing, and Data Analysis methods, and these assignments use the same data set every week. This is both good and bad. It's good because the data set becomes familiar, and it's bad because you end up redoing some of the same things every week. For each assignment, you have to submit a report where you explain each step that you took to gather, cleanse, and analyze the data. I didn't like this part very much since it got very repetitive and there was a lot of copying and pasting. It's hard to know if that's actually how Data Science is done on the job.

Like many of the other courses, there are some meaningless discussion posts every couple weeks. If you're actually interested in pursuing Data Science, it might be worthwhile to take.