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Data Analysis

  • Summary
  • Expanded

Chapters¶

  • 1. Introduction
  • 2. How Programs Work
  • 3. How To Write Code
  • 4. Terminal
  • 5. Data and Variables
  • 6. Making Decisions With Conditionals
  • 7. Repeating Things With Loops
  • 8. Stringing Characters Together
  • 9. Lists Keep Things in Order
  • 10. Errors and Debugging
  • 11. What’s Your Function
  • 12. Python Dictionaries and Tuples
  • 13. Introduction To Data
  • 14. Exploratory Data Analysis
  • 15. EDA With Python Part 2
  • 16. Cleaning Data
  • 17. Data Manipulation
  • 18. Data Visualization with Python
  • 19. SQL Part 1 - Introduction and Azure Data Studio
  • 20. SQL Part 2 - String and Date Functions
  • 21. SQL Part 3 - Joins
  • 22. SQL Part 4 - Subqueries, UNION, INTERSECT, EXCEPT
  • 23. SQL Part 5 - Schemas and CRUD Operations
  • 24. Working with Databases in Python
  • 25. Tableau Part 1 - Introduction to Visualization
  • 26. Tableau Part 2 - Data Preparation
  • 27. Tableau Part 3
  • 28. Tableau Part 4 - Stories and Dates
  • 29. Introduction to Statistics and Data Modeling
  • 30. Data Modeling Part 2: Linear Regression
  • Index

Studios¶

  • 7.10. Studio: Goal Setting and Getting into the Right Mindset
  • 9.11. Studio: Strings and Lists
  • 10.8. Studio: Errors and Debugging
  • 11.11. Studio: Functions
  • 12.9. Studio: Mad Dictionaries
  • 13.3. Studio: Introduction To Data
  • 14.3. Studio: Exploratory Data Analysis
  • 15.3. Studio: EDA With Python Part 2
  • 16.3. Studio: Cleaning Data
  • 17.3. Studio: Data Manipulation
  • 18.3. Studio: Data Visualization with Python
  • 19.3. Studio: SQL Part 1 - Introduction and Azure Data Studio
  • 20.5. Studio: SQL Part 2 - String and Date Functions
  • 21.3. Studio: SQL Part 3 - Joins
  • 22.3. Studio: SQL Part 4 - Subqueries, UNION, INTERSECT, EXCEPT
  • 23.3. Studio: SQL Part 5 - Schemas and CRUD Operations
  • 24.3. Studio: Working with Databases in Python
  • 25.4. Studio: Tableau Part 1 - Introduction to Visualization
  • 26.3. Studio: Tableau Part 2 - Data Preparation
  • 27.3. Studio: Tableau Part 3
  • 28.3. Studio: Tableau Part 4 - Stories and Dates
  • 29.3. Studio: Introduction to Statistics and Data Modeling
  • 30.3. Studio: Data Modeling Part 2: Linear Regression

Assignments¶

  • Assignment #1: Candidate Testing
  • Assignment #2: Call Center Cleanup
  • Assignment #3: 9 to 5
  • Assignment #4: Final Project
  • Checkpoint 1: Choose your Data
  • Checkpoint 2: EDA
  • Checkpoint 3: Cleaning Data
  • Checkpoint 4: Tableau Story
  • Checkpoint 5: Modeling Data
  • Final Project Presentations

Appendices¶

  • Best Practices: Learning To Code
  • Setting Up Software for this Class
  • Terminal Commands
  • Jupyter Notebooks
  • Common Python String Methods
  • Common Python List Methods
  • Common Python Dictionary Methods
  • Exercise Solutions

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