Congratulations!
1. Congratulations!
Fantastic job! You have now finished the course!2. What we've learned
In this course, you learned how to diagnose dirty data, identify the side effects of dirty data, and learned how to clean data.3. What we've learned
In chapter 1, we learned about basic data cleaning problems such as fixing incorrect data types, making sure our data sticks within range, and dropping duplicates.4. What we've learned
In chapter 2, we learned about common problems affecting categorical and text data.5. What we've learned
In chapter 3, we learned about more advanced data problems, such as unifying differently formatted data, cross field validation and completeness.6. What we've learned
Finally in chapter 4, we saw how to link datasets where joins don't work, by learning about record linkage.7. More to learn on DataCamp!
With that in mind, there is still so much more to learn on your way to become a data cleaning expert! So make sure to check out DataCamp's content library along the way, whether that means courses,8. More to learn!
tracks,9. More to learn!
or projects!10. Thank you!
Finally, don't forget to apply what you learned in your daily data tasks! Thank you for taking this journey in cleaning data in Python, and see you next time!Create Your Free Account
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