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R Masterclass Bootcamp 2026 T1

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  1. WEEK 1 | R & AI REVISION | PREWORK DUE BEFORE FIRST CLASS

    Welcome to the Masterclass
    3 Topics
    |
    3 Quizzes
  2. Using ChatGPT
    1 Quiz
  3. R basics revision
    3 Quizzes
  4. Learn to Type Fast! (optional)
  5. WORKSHOP 1 | Colombian Motorcycle Accidents – Tidyverse & RMarkdown Revision | RMC 2026 T1
  6. WEEK 2 | INTRO TO GIT & GITHUB | PREWORK DUE JAN 29
    Cohort Notes on the Git Lesson
  7. Git & GitHub for R Users
    1 Topic
  8. WORKSHOP 2 | Global Disease Burdens – Collaboration Practice with GitHub | RMC 2026 T1
  9. WEEK 3 | PUBLISHING WEB REPORTS WITH R | PREWORK DUE FEB 5
    HTML Documents & Quarto
    1 Topic
  10. Publishing HTMLs with GitHub Pages
    1 Topic
  11. Creating a Personal Website (optional)
  12. WORKSHOP 3 | Happiness Data Report - Quarto Practice | RMC 2026 T1
    2 Topics
  13. WEEK 4 | JOINING DATASETS | PREWORK DUE FEB 19
    Joining 1: Intro to Joining Datasets
    1 Topic
  14. Joining 2: Mismatched Values, One-to-Many & Multi-Key Joins
    1 Topic
  15. WORKSHOP 4 | Cameroon Household Survey – Data Joining Practice | RMC 2026 T1
  16. WEEK 5 | FORMATTING DATE AND STRING DATA | PREWORK DUE FEB 26
    Recognizing and Formatting Dates
    1 Topic
  17. String Manipulation
    1 Topic
  18. WORKSHOP 5 | Pediatric HIV Survey – Strings & Dates Manipulation | RMC 2026 T1
  19. WEEK 6 BONUS CONTENT (INTRO TO AI CODING)
    AI-Automated Data Analysis with R and Cursor
  20. (Optional) The Future of AI-Enabled Data Science
  21. WEEK 6 | DATA CLEANING STRATEGIES | PREWORK DUE MAR 5
    Snippet | The dplyr::across function
  22. Data Cleaning 1: Data Diagnostics
    1 Topic
  23. Data Cleaning 2: Fixing Inconsistencies
    1 Topic
    1. Code Submission | Data Cleaning 2: Fixing Inconsistencies
  24. WORKSHOP 6 | Global HIV Data – Data Cleaning & Diagnostics | RMC 2026 T1
  25. WEEK 7 | PROGRAMMING WITH LOOPS AND FUNCTIONS | PREWORK DUE MAR 12
    For Loops
    1 Topic
  26. Functions and Conditionals
    1 Topic
  27. WORKSHOP 7 | HIV Burden Analysis – Functions & Loops Practice | RMC 2026 T1
  28. WEEK 8 | INTRO TO GEOSPATIAL VISUALIZATION | PREWORK DUE MAR 19
    Thematic Maps
    1 Topic
  29. Physical Features
    1 Topic
  30. Density Maps
    1 Topic
  31. WORKSHOP 8 | COVID-19 Cases – Thematic Mapping | RMC 2026 T1
  32. WEEK 9 | GEOSPATIAL DATA TYPES | PREWORK DUE MAR 26
    Snippet | Sources of Map Data
  33. Shapefile Data
    1 Topic
  34. Boundary Data
    1 Topic
  35. Layers
    1 Topic
  36. WORKSHOP 9 | Nigerian Malaria Data Exploration – Shapefile Mapping & Layers | RMC 2026 T1
  37. WEEK 10 | DASHBOARDING WITH QUARTO | PREWORK DUE APR 2
    Dashboards with Quarto
    1 Topic
  38. WORKSHOP 10 | Chinese H7N9 Flu Outbreak – Interactive Dashboard Creation | RMC 2026 T1
  39. FINAL PROJECT | DATA CLEANING, REPORTING AND DASHBOARDING | DUE APRIL 16
    Final Project | RMC 2026 T1

Participants 19

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R Masterclass Bootcamp 2026 T1 Data Cleaning 2: Fixing Inconsistencies
Lesson 23 of 39
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Data Cleaning 2: Fixing Inconsistencies

🚗 Video too fast or too slow? Click the gear icon ⚙️ at the bottom-right to change the speed!

Lesson code

Please download the zip folder below to code along with the instructor!

👨‍💻 Download lesson code

After downloading, unzip the folder, open the RStudio Project file within, then open the “VIDEO_CODE_ALONG” script and type along with the instructor in the video above!

Lesson notes

The written guide below is an accompaniment to the lesson video. You may read through it if you prefer written tutorials to video content.

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