Schedule

Schedule and course materials for Statistical Computing (JHSPH Biostatistics 140.776 Fall 2023).

Schedule and course materials

For Qmd files (markdown document with Quarto cross-language executable code), go to the course GitHub repository and navigate the directories, or best of all to git clone the repo and navigate within RStudio.

Check https://github.com/lcolladotor/biostat776classnotes for Leo’s live class notes.

Week Lectures / due dates Topics Projects
Module 1 Statistical and computational tools for scientific and reproducible research
Week 1 Lecture 1 (Leo will be remote!) πŸ‘‹ Course introduction [html] [Qmd] [R] 🌴 Project 0 [html] [Qmd] [R]
πŸ‘©β€πŸ’» Introduction to R and RStudio [html] [Qmd] [R]
πŸ™ Introduction to git/GitHub [html] [Qmd] [R]
Lecture 2 (Leo will be remote!) πŸ”¬ Reproducible Research [html] [Qmd] [R]
πŸ‘“ Literate programming [html] [Qmd] [R]
πŸ†’ Reference management [html] [Qmd] [R]
Module 2 Data analysis in R
Week 2 Lecture 3 πŸ‘€ Reading and writing data [html] [Qmd] [R] 🌴 Project 1 [html] [Qmd] [R]
βœ‚οΈ Managing data frames with Tidyverse [html] [Qmd] [R]
Lecture 4 😻 Tidy data and the Tidyverse [html] [Qmd] [R] πŸ‚ Project 0 due
🀝 Joining data in R: Basics [html] [Qmd] [R]
Module 3 Data visualizations R
Week 3 Lecture 5 πŸ“Š Plotting systems in R [html] [Qmd] [R]
πŸ“Š The ggplot2 plotting system: qplot() [html] [Qmd] [R]
Lecture 6 πŸ“Š The ggplot2 plotting system: ggplot() [html] [Qmd] [R] 🌴 Project 2 [html] [Qmd] [R]
Sept 17 πŸ‚ Project 1 due
Module 4 Nuts and bolts of R
Week 4 Lecture 7 πŸ”© R Nuts and Bolts [html] [Qmd] [R]
Lecture 8 πŸ”© Control structures in R [html] [Qmd] [R]
πŸ”© Functions in R [html] [Qmd] [R]
Week 5 Lecture 9 πŸ”© Loop functions [html] [Qmd] [R]
Lecture 10 πŸ› Debugging code in R [html] [Qmd] [R]
πŸ› Error handling code in R [html] [Qmd] [R]
Oct 1 πŸ‚ Project 2 due
Module 5 Special data types in R
Week 6 Lecture 11 πŸ“† Working with dates and times [html] [Qmd] [R] 🌴 Project 3 [html] [Qmd] [R]
Lecture 12 ✨ Regular expressions [html] [Qmd] [R]
Week 7 Lecture 13 🐱 Working with factors [html] [Qmd] [R]
Lecture 14 πŸ“† Working with text data and sentiment analysis [html] [Qmd] [R]
Module 6 Best practices for working with data and other languages
Week 8 Lecture 15 ☁️ Best practices for data analyses [html] [Qmd] [R]
Lecture 16 🐍 Leveraging Python within R [html] [Qmd] [R]
Oct 22 πŸ‚ Project 3 due