1. Data Analysis > 
  2. Data Manipulation > 
  3. Next Steps

Next Steps

Now that we learned about manipulating data, you are ready to dive into data visualization. If you want to review data manipulation with pandas before continuing onward, here are some of our favorite resources:

  1. Python | Pandas dataframe.aggregate()
  2. Python | Pandas dataframe.groupby()
  3. How to create new columns derived from existing columns?
  4. Recode Data
  5. How to manipulate textual data?
  6. How to reshape the layout of tables?
  7. pandas.pivot_table
  8. pandas.melt
  9. pandas.pivot
Oct 1, 2021
LaunchCode

  • Home


    • 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
                                        • 21. Data Manipulation
                                          • Reading
                                            • Exercises: Data Manipulation
                                            • Studio: Data Manipulation
                                            • Next Steps
                                          • 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

                                                              •