Courses

The School of Data aims to make your learning experience as tailored as possible through independent learning modules. Learning modules are all stand-alone and can be taken in any order. To make your learning experience easier, we curated modules into a series of courses - with a focus on data basics as well as specific skills. When you identified the course you're interested in click on "Show Modules" to see all modules you might want to take.

Data Fundamentals

The Data Fundamental modules provide a solid overview over the workflow with data guiding you from what data is, to how to make your data tell a story. The courses listed below should be seen as a whole, a quick overview of the elements involved in working with data.

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A Gentle Introduction to Data Cleaning

This School of Data course is a gentle introduction to reducing errors by cleaning data. It was created by the Tactical Technology Collective and gives you a clear overview what can go wrong in spreadsheets and how to fix it (if it does). Take this course if you want to learn why it is important to clean data and how to do it.

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Working with Budgets and Spending Data.

In this course, we will take you through the steps involved working with budget and spending data. In the process, you’ll learn how to wrangle and clean up some of the most common errors which we see in spending and budget data, as well as doing some dataset gymnastics, such as transposition and cleanup before creating a simple visualisation at the end. If you don’t have your data yet, or don’t have it in machine-readable format – take a look at the two courses above on extracting data, we start from cleaning up and formatting your data.

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An Introduction to Aid Data

This course was produced in 2014 as part of the Open Development Toolkit, a project led by Zara Rahman and jointly funded by School of Data and Development Initiatives. It provides an introduction to the world of data available on the topic of international aid, from finding it, cleaning it, visualising it and using it in the media.

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