Welcome to the School of Data courses. School of Data produces two types of material:
Data might sound scary sometimes – don’t worry, we’re there to guide you through! If you have any questions about the material, simply drop us a line via the mailing list
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.
- What is Data?
- Data provenance
- Finding Data
- Sort and Filter: The basics of spreadsheets
- ‘But what does it mean?’: Analyzing data (spreadsheets continued)
- From Data to Diagrams: An introduction to plots and charts
- Look Out!: Common Misconceptions and how to avoid them.
- Tell me a story: Working out what’s interesting in your data
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.
A Gentle introduction to exploring and understanding data
The second course by Tactical Technology Collective shows how to use pivot tables to explore your data and gain insights quickly.
School of Data Journalism
A Gentle Introduction to Geocoding
A Gentle Introduction to Extracting Data
- Making data on the web useful: scraping
- Extracting Data from PDFs
- Note: Bad PDFs and worse PDFs
- Path 1: OCR
- Path 2: Transcription and Microtasking
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.
- What is the difference between budgets and spending?
- Categorization and reference data
- Cleaning spending data
- Choosing an audience and classifying your data
Last updated on May 08, 2013.