R

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Last Update	09/20/2026
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Course
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Section 1: Getting Started

4Lessons ·
- 1: Installing R and RStudio
  
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- 2: Working in the R Console and Scripts
  
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Section 2: Core Syntax

5Lessons ·
- 6: Control Flow Statements
  
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- 7: Writing Functions in R
  
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Section 3: Data Structures

5Lessons ·
- 11: Lists and Matrices
  
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Section 4: Data Manipulation

7Lessons ·
- 21: The Pipe Operator in R
  
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Section 5: Visualization and Statistics

6Lessons ·
- 23: Introduction to ggplot2
  
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- 24: Descriptive Statistics in R
  
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Section 6: Advanced R

6Lessons ·
- 30: Debugging R Code
  
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Section 9: More Practice Exercises

3Lessons ·
Section 11: More Data Wrangling

3Lessons ·
- 48: Date and Time Handling with lubridate
  
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Section 23: R Data Structures Deep Dive

3Lessons ·
- 95: Working with Nested Lists
  
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Section 24: More Interview and Review

4Lessons ·
- 99: Common R Interview Questions on the Apply Family
  
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- 101: Code Review Checklist for R Scripts
  
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Section 30: R Object Systems Deep Dive

4Lessons ·
- 122: S3 Classes and Methods In Depth
  
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- 123: S4 Classes and Generic Functions
  
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Section 31: R Environments and Metaprogramming

4Lessons ·
- 126: Understanding R Environments Deeply
  
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- 127: Non-Standard Evaluation in R
  
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Section 35: R Data Cleaning Deep Dive

4Lessons ·
- 141: Data Validation with the validate Package
  
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Section 36: R Reporting Automation

3Lessons ·
- 145: Emailing Reports Programmatically from R
  
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Section 38: R Ecosystem and Career

4Lessons ·
- 151: R vs Python: When to Choose Which
  
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- 152: Contributing to Open Source R Packages
  
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Section 44: R String Processing Deep Dive

4Lessons ·
- 176: Working with Encoding Issues in R
  
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Section 48: R Advanced Functional Programming

5Lessons ·
- 189: Function Factories in R
  
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- 190: Memoization in R
  
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Section 62: R Package Ecosystem Deep Dive

4Lessons ·
- 247: Exploring CRAN Task Views
  
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