A fortnightly datascience and R training club hosted by Raphael Eisenhofer and Olivia Johnson. Data generation in biology is only going to get bigger, so it's highly advantageous to learn how to manipulate data in a clean and reproducibile manner (not in Microsoft Excel!). These skills will be a huge boon to your candidature and beyond -- as they are highly sought after both in academnia and in industry.
Everyone. Even if you've not opened a terminal before! If you're a seasoned coder, there's always room to improve and learn new functions.
| Week | Date | Lesson |
|---|---|---|
| 1 | 2022_03_03 |
Intro & Git |
| 2 | 2022_03_24 |
Intro to RStudio |
| 3 | 2022_04_07 |
Intro to the Tidyverse & importing/cleaning tables |
| 4 | 2022_04_21 |
Further cleaning of table data with dplyr |
| 5 | 2022_05_05 |
Intro to ggplot2 |
| 6 | 2022_05_19 |
ggplot2 continued |
| 7 | 2022_06_02 |
Tidy data and joining tables |
| 8 | 2022_06_16 |
Manipulating tables |
| 9 | 2022_07_07 |
rentrez + basic iteration |
| 10 | 2022_07_28 |
Iterative functions |
| 11 | 2022_08_11 |
data.table |
| 12 | 2022_08_25 |
Manipulating data.tables |
| 13 | 2022_10_20 |
Lists |
| 14 | 2023_02_02 |
Introduction to Python |
Ashleigh Sharrad, Brady Welsh, Brittany Hogben, Caitlin Mudge, Chloe Frick, Colin Sobek, Dawn Lewis, Elisabeth Williamson, Gina Guzzo, Lauren Werner, Matthew Rodie, Rhiannon Vaneck, Roberta Davidson, Shannon Kleeman, Stacey Dix, Sonia Nath, Tessa Manning, Vilma Perez, Vinura Silva, Xavier Roca Rada