1. Data Analysis > 
  2. Data and Variables > 
  3. Next Steps

Next Steps

Now that you have learned the basics of data types and variables with Python you are ready to move forward! If you would like to further explore the topic you can visit some of our favorite resources below:

  1. W3Schools: Python Variables
  2. W3Schools: Python Data Types
  3. GeeksForGeeks: Python Variables
  4. GeeksForGeeks: Python Data Types
  5. Tutorialspoint: Python - Variables
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
                            • Reading
                              • Exercises: Data and Variables
                              • Next Steps
                            • 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
                                          • 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
                                                              •