1. Congratulations!
Congrats on finishing the course! You're now equipped with data cleaning skills.
2. What you learned
In this course, you learned how to diagnose dirty data, what the side effects of dirty data are and how they can impact an analysis, and how to clean data to prevent these side effects.
3. Chapter 1: Common Data Problems
In chapter 1, you learned about type constraints, range constraints and uniqueness constraints.
4. Chapter 2: Text and Categorical Data
In chapter 2, you learned about problems specific to text and categorical data, including membership constraints, cleaning categorical variables, and cleaning text data.
5. Chapter 3: Advanced Data Problems
In chapter 3, you looked at more advanced data problems, like unifying inconsistently formatted data, cross field validation, and dealing with missing data.
6. Chapter 4: Record Linkage
In chapter 4, you learned how to use record linkage to link datasets when traditional joins can't be used.
7. Expand and build upon your new skills
There is still much more to learn to become a data cleaning expert! Check out these courses where you can learn more about working with categorical data, manipulating text data, and writing clean R code to prevent dirty data in the first place.
8. Congratulations!
Don't forget to apply the valuable skills you've learned to your own data tasks. Congratulations, and have fun learning!