Learn Python for Data Science | Learn Python

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Great! You know how to deal with errors in your datasets!

Let's learn how to visualize our data!

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19/19 Congratulations

1. Introduction

2. NaN values

3. NaN values and sorting

4. Filling NaN values

5. Automatic check for NaN values

6. Introduction to duplicates

7. Automatic check for duplicates

8. Remove duplicates

9. Introduction to outliers

10. Sorting to find outliers

11. Dealing with outliers

12. Importing multiple files

13. Merging two DataFrames – common column

14. Merging two DataFrames – different columns, step 1

15. Merging two DataFrames – different columns, step 2

Wow, excellent! You managed to preprocess all data correctly. Congratulations and see you in the next part!

Click Next exercise to finish this part.

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Introduction to Python for Data Science

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