Course Material Reviewers

[jack89roberts]

If you'd like to volunteer to review the content of one of the modules please drop us a message here, also indicating whether you have a preference on which module. The modules are:

• Module 1: Intro to Research Data Science​

  • Taught: What is RDS, project stages, scoping, EDI, collaboration​
  • Hands-on: Scope a project starting from a dataset and research question, discuss EDI issues​

• Module 2: Handling data​

  • Taught: Data sources and types, security, privacy and licensing, loading and manipulating data with Pandas, missing data, common data pre-processing techniques.​
  • Hands-on: Load the dataset into pandas for the first time and perform initial exploration, sanity checks, and cleaning. ​

• Module 3: Data visualisation and exploration​

  • Taught: Good practices of data visualisation, storytelling and context, data visualisation for exploration ​
  • Hands-on: Using dataviz to explore and understand the dataset.​

• Module 4: Modeling​

  • Taught: General introductory concepts of modeling (probability, generative models, fitting a model), a dive-in logistic regression with a subset from the dataset (UK), model evaluation.​
  • Hands-on: Building a new model on the dataset under different conditions (predictors, ways of treating the data, using a different country), compare it with example from the thought session.

Note: Links above are to the current harmonise branch, which may not have the latest status of each module.

[pafoster]

I'm happy to review either Module 4 or 2.

[radka-j]

I'm happy to review. Probably feel most comfortable reviewing 2 or 4 but happy to look at other content if that is useful.

[nbarlowATI]

Happy to review, preference would be 2 or 3, but can do whatever is useful.

[triangle-man]

I am happy to review any module.

[gmingas]

@triangle-man We could use you in Module 1 given others stated preference for other modules. Are you happy with this?

[triangle-man]

Sure!