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Notes and Guides

These notes serve as supplementary readings and may not necessarily align with lecture and textbook content. These notes aim to serve as a concise overview of course content, which you may find helpful during exam preparation or as a quick refresher.

• Sampling
• Variability of Samples
• Confidence Intervals
• Correlation and Linear Regression
• Classification

Other Resources

• Hypothesis Testing Guide
• JupyterHub Tips
• Arrays Primer
• Tables:
  • Table Tutor
  • Tabular Thinking
  • Table Method Visualizer
  • Table Methods
• Table Method Animations
  • Group Animation
  • Join Animation
  • Pivot Animation