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

Next Steps

Now that you have learned about strings, lists, dictionaries, and tuples, you are ready to move on to the chapter covering functions!

If you would like to further explore the topics covered in this chapter you can reference some of our favorite resources below:

  1. GeeksforGeeks: Python Collections Module
  2. W3Schools: Python Lists
  3. Google: Python Lists
  4. Geeksfor Geeks: Python Lists
  5. W3Schools: Python Dictionaries
  6. GeeksforGeeks: Python Dictionaries
  7. Google: Python Dict and File
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
                                  • Reading
                                    • Exercises: Collections
                                    • Studio: Strings and Lists
                                    • Next Steps
                                  • 18. Functions are at Your Beck and Call
                                    • 19. Exploratory Data Analysis with pandas
                                      • 20. Cleaning Data with Pandas
                                        • 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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