• Next Steps
  1. Data Analysis > 
  2. Cleaning Data with Spreadsheets > 
  3. Next Steps

Next Steps

Next Steps

Now that you have covered some of the common data cleaning techniques and practiced some of the tools included with Excels you are ready to move on! If you are interested in exploring more data cleaning topics feel free to view some of our favorite resources below:

  1. Excel smart clean-up
  2. How to use Excel
  3. Data Cleaning for Beginners - Why and How?
  4. AWS: What is Data Cleansing?
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
            • 6. Cleaning Data with Spreadsheets
              • Reading
                • Exercises: Cleaning Data
                • Studio: Cleaning Data
                • Next Steps
              • 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
                                                                •