1. Data Analysis > 
  2. Databases with Python and pandas > 
  3. Next Steps

Next Steps

You are now ready to dive into the first major visualization tool that we will use called Tableau . If you would like to further explore content related to interacting with databases using python and pandas you can find some of our favorite resources below:

  1. GeeksforGeeks: Working with Databases using pandas
  2. Tutorialspoint: Python - Databases and SQL
  3. DigitalOcean: How To Use the sqlite3 Module in Python3
Oct 1, 2021
LaunchCode

  • Home


    • 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
                                • Data Manipulation
                                  • Data Visualization with Python
                                    • Databases with Python and pandas
                                      • Lesson
                                        • Exercises: Working with Databases in Python
                                        • Studio: Working with Databases in Python
                                        • Next Steps
                                      • 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
                                                • Installations
                                                  • Appendices

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