Wrap-up video
1. Wrap-up video
Well done! Together we have reached the end of working with categorical data in python. I want to personally congratulate you on making it this far, and I hope that you were able to learn a lot along the way.2. Categorical columns
Categorical columns are everywhere. Almost every dataset that I have ever used has had categorical information. The four datasets we looked at in this course were filled with categorical columns that can help summarize and visualize data.3. Chapter 1
In chapter 1, we explored our first categorical columns. We learned about nominal and ordinal columns and how to create a categorical column with pandas. We also learned about two great pandas methods.4. Chapter 2
In Chapter 2 we focused on updating categorical columns. We learned about setting, adding, removing, updating, and reordering categories.5. Chapter 3
Chapter 3 was all about creating visualizations using categorical columns. We explored box plot, point plots, count plots, and more using the seaborn library.6. Chapter 4
And finally, in chapter 4 we looked at some common pitfalls when using categorical columns, as well as how to encode columns using label encoding and one-hot encoding.7. Great job!
If you made it this far, great work. I hope you enjoy whichever course you decide to take next!Create Your Free Account
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