Data Science
- The Data Science Lifecycle
- Data Design
- Working with Tabular Data (pandas)
- Data Cleaning
- Exploratory Data Analysis
- Data Visualization
- Web Technologies
- Working with Text
- Relational Databases and SQL
- Modeling and Estimation
- Gradient Descent and Numerical Optimization
- Probability and Generalization
- Linear Models
- Feature Engineering
- The Bias-Variance Tradeoff
- Regularization
- Classification
- Statistical Inference