This course was set up and taught by Meena Choi and Laurent Gatto in the frame the of the May Institute, at the Northeastern University, Boston, MA from 3 to 5 May 2017. The theoretical lectures were taught by Olga Vitek.
| Day | Time | Content |
|---|---|---|
| 3 May | 1:30 - 3:00pm | Keynote: Olga Vitek |
| 3:00 - 3:30pm | Refreshments | |
| 3:30 - 5:00pm | R basics and RStudio | |
| 5:00 - 6:00pm | R markdown |
| Day | Time | Content |
|---|---|---|
| 4 May | 8:00 - 9:00am | Bring your own data |
| 9:00 - 10:30am | Data Exploration | |
| 10:30 - 11:00am | Refreshments | |
| 11:00 - 12:30pm | Visualisation | |
| 12:30 - 13:30pm | Lunch break | |
| 13:30 - 3:00pm | Lecture: basic stats | |
| 3:00 - 3:30pm | Refreshments | |
| 3:30 - 5:00pm | Basic stats, randomisation, error bars | |
| 5:00 - 6:00pm | Extra practice |
| Day | Time | Content |
|---|---|---|
| 5 May | 8:00 - 9:00am | Bring your own data |
| 9:00 - 10:30am | Lecture: sample size, linear regression, categorical data | |
| 10:30 - 11:00am | Refreshments | |
| 11:00 - 12:30pm | Statistical hypothesis testing | |
| 12:30 - 13:30pm | Lunch break | |
| 13:30 - 3:00pm | Sample size, categorical data hands-on | |
| 3:00 - 3:30pm | Refreshments | |
| 3:30 - 5:00pm | Linear models and correlation | |
| 5:00 - 6:00pm | Extra practice |
Lecture slides are available in the Slides directory.
Link to more teaching material
This material, unless otherwise stated, has been adapted from our is made available under the Creative Commons Attribution license.
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Some of the material from day 1 and 2 has been adapted from the Data Carpentry R lessons (see references in the respective sections), which are licensed under CC-BY.