DATA 202 Slides

• Week 1
  • Welcome to DATA 202!
• Week 2
  • Meet the Toolkit
  • Fundamentals of Data Visualization
• Week 3
  • Grammar of Data Transformation
  • Practice with Data Transformation
  • Lab
  • W3 Notes
• Week 4
  • Tidy
• Week 5
  • Joining data from multiple sources
  • Problem-Solving, Collaboration, and Sad Charts
  • Data tidying and reshaping
  • Wrangling Tools
• Week 6
  • Predictive Modeling
  • What makes a good prediction?
• Week 7
  • How to Make a Predictive Model
• Week 8
  • Feature Engineering
• Week 9
  • Feature Engineering and Review
  • Models with Conditional Logic
• Week 10
  • Hyperparameters and Validation
  • Cross-Validation
• Week 11
  • Cross-Validation Review
  • Classification
  • Python Data Wrangling and Classification
• Week 12
  • Making Inferences about Features
  • Unsupervised Learning (clustering)
• Week 13
  • Databases and Data Formats
  • A bit of thinking about data ethics
  • Text Classification and Bias
  • Modeling and Forecasting
  • Wrap-up: Communication and Justice