1. Data Analysis > 
  2. Introduction to Data > 
  3. Next Steps

Next Steps

After reading through this chapter, you are ready to start working on Assignment 0: Prework! Below you will find some additional resources related to the Introduction to Data chapter.

  1. Kaggle: AI and Machine Learning community with plenty of datasets, discussions, courses, and other articles
  2. Data Analysis Methods & Techniques
  3. Data Project Life Cycle
  4. Asking the right questions
Oct 1, 2021
LaunchCode

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    • 1. About LaunchCode Courses
      • 2. Our Approach to Learning Data Analysis
        • 3. Introduction to Data
          • Reading
            • Exercises: Introduction to Data
            • Studio: Introduction to Data
            • Next Steps
          • 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
                                          • 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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