1. Data Analysis > 
  2. Cleaning Data with Pandas > 
  3. Next Steps

Next Steps

Now that we have cleaned our data, you are ready to dive into data manipulation with pandas. If you want to review cleaning data with Pandas before continuing onward, here are some of our favorite resources:

  1. Working with Missing Data
  2. Detect and Remove the Outliers using Python
  3. Pandas - Fixing Wrong Data
  4. Pandas - Cleaning Data with Wrong Format
Oct 1, 2021
LaunchCode

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    • 1. About LaunchCode Courses
      • 2. Our Approach to Learning Data Analysis
        • 3. Introduction to Data
          • 4. Introduction to Excel and Spreadsheets
            • 7. SQL Part 1: Introduction and Azure Data Studio
              • 8. SQL Part 2: String and Date Functions
                • 9. SQL Part 3: Joins
                  • 10. SQL Part 4: Subqueries, CTEs, UNION, INTERSECT, EXCEPT
                    • 11. SQL Part 5: Schemas and CRUD Operations
                      • 12. How Programs Work
                        • 13. How to Write and Run Code
                          • 14. Data and Variables
                            • 15. Making Decisions with Conditionals
                              • 16. Loops
                                • 17. Collections
                                  • 18. Functions are at Your Beck and Call
                                    • 19. Exploratory Data Analysis with pandas
                                      • 20. Cleaning Data with Pandas
                                        • Reading
                                          • Exercises: Cleaning Data with Pandas
                                          • Studio: Cleaning Data with Pandas
                                          • Next Steps
                                        • 21. Data Manipulation
                                          • 22. Data Visualization with Python
                                            • 23. Databases with Python and pandas
                                              • 24. Tableau Part 1: Intro to Visualization
                                                • 25. Tableau Part 2: Data Preparation
                                                  • 26. Tableau Part 3: Calculations, Parameters and Relationships
                                                    • 27. Tableau Part 4: Stories and Dates
                                                      • GA: Graded Assignments
                                                        • INSTL. Installations
                                                          • Appx. Appendices

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