Pretty easy, overall.
The class is discussion-based and can go by slowly if you choose to have it early in the day, but it gives valuable information on how to actually use programs like Microsoft Excel in real world data analysis. Topics like 'Big Data,' qualities of good hypothesis, and open data are discussed and what is learned about them can easily and quickly be applied. Before taking this course, I had no clue what 'open data' is, but now that I know how to search, find, and visualize data sets, I can easily create graphs and charts that offer insight on particular topics.
The class uses two main computer programs, both of which are offered for free by the university. Tableau, a data visualization tool, and Microsoft Excel, a spreadsheet tool. These two programs work seamlessly with each other to provide data analysis and visualization. The first half of the course is spent learning about types of data, sources of data, and its impact on every-day life. Most of the readings are modern articles that show examples of data being used and misused. The second half of the course is on how to use both Tableau and Excel effectively.
Hours per week:
Advice for students:
I recommend learning the basics of Excel. Look up youtube tutorials of how to navigate through menus and do simple calculations. You don't have to read every single article given but you should know the main ideas and the types of questions asked on the online, open-notes quizzes.