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Last Update	09/20/2026
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Section 2: Core Syntax

5Lessons ·
- 8: Vectorized Operations
  
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Section 3: Data Structures

5Lessons ·
- 10: Data Frames
  
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- 13: Working with NA and Missing Data
  
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Section 8: Interview Practice

2Lessons ·
- 39: Comparing R and Python for Data Analysis
  
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Section 9: More Practice Exercises

3Lessons ·
- 40: Practice Exercise: Cleaning a Messy Real-World Dataset
  
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- 41: Practice Exercise: Building a Custom Summary Statistics Function
  
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Section 15: R Visualization Deep Dive

4Lessons ·
- 65: Interactive Visualizations with plotly
  
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Section 17: R for Reproducible Research

4Lessons ·
- 76: Quarto as the Successor to R Markdown
  
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Section 19: R Performance Optimization

4Lessons ·
- 81: Vectorization vs Loops Performance
  
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Section 38: R Ecosystem and Career

4Lessons ·
- 151: R vs Python: When to Choose Which
  
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Section 48: R Advanced Functional Programming

5Lessons ·
- 193: Practice Exercise: Building a Function Composition Pipeline
  
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Section 50: More Practice Exercises Round 3

4Lessons ·
- 198: Practice Exercise: Building a Time Series Forecasting Pipeline
  
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- 199: Practice Exercise: Building a Text Classification Model
  
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