• Lesson Content
  1. Data Analysis > 
  2. Cleaning Data with Pandas > 
  3. Lesson

Lesson

Lesson Content

  • Revisiting Cleaning Data
  • Handling Missing Data
  • Handling Irregular Data
  • Handling Unnecessary Data
  • Handling Inconsistent Data
Feb 27, 2024
LaunchCode
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    • Introduction to Data
      • Spreadsheet Mastery
        • SQL Part 1: Introduction and Visual Studio Code SQL Setup
          • SQL Part 2: String and Date Functions
            • SQL Part 3: Joins
              • SQL Part 4: Subqueries, CTEs, UNION, INTERSECT, EXCEPT
                • SQL Part 5: Schemas and CRUD Operations
                  • Data and Variables
                    • Making Decisions with Conditionals
                      • Loops
                        • Collections
                          • Functions are at Your Beck and Call
                            • Exploratory Data Analysis with pandas
                              • Cleaning Data with Pandas
                                • Lesson
                                  • Revisiting Cleaning Data
                                  • Handling Missing Data
                                  • Handling Irregular Data
                                  • Handling Unnecessary Data
                                  • Handling Inconsistent Data
                                • Exercises: Cleaning Data with Pandas
                                • Studio: Cleaning Data with Pandas
                                • Next Steps
                              • Data Manipulation
                                • Data Visualization with Python
                                  • Databases with Python and pandas
                                    • Tableau Part 1: Intro to Visualization
                                      • Tableau Part 2: Data Preparation
                                        • Tableau Part 3: Calculations, Parameters and Relationships
                                          • Tableau Part 4: Stories and Dates
                                            • Projects
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                                                • Appendices
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