Extra recommended

Tips and resources available for a list of topics, including data makeovers, basic coding, and demystifying data

Flowingdata list of data sources.

8 Youtube lectures about data literacy

Repository that "details incidents and controversies driven by and relating to artificial intelligence, algorithms, and automation."

Blog post reporting on a report by security researchers that they could identify individuals in a health dataset https://pursuit.unimelb.edu.au/articles/understanding-the-maths-is-crucial-for-protecting-privacy

Book. Chapter 12 is about web scrappinng with Python

Syllabus and readings for 12 week course

One-pager helping select a chart based on its purpose

Blog posts with technical data visualization tips and other visualization topics

"Allows you to write and execute Python in your browser"

Aims to help librarians with data skills for high schoolers.

Ted talk on Youtube

A word counter tool, CSV tool, text comparison tool, and network data analysis tool

Open lessons. These are really good!

"Are you interested in learning about open data or teaching about open data to your community? The Data Equity for Main Street project has developed curriculum to promote open data literacy"

Tool "built to automate [the process] of checking a dataset for errors or potential mistakes"

A list of criteria to use to judge "high impact" data visualisations

"Top 10 Dos and Don'ts for Charts and Graphs"

What to avoid in data visualizations (and fixes)

Examples and definitions of many types of visualizations

"The most overrated metric in movies is erratic, reductive, and easily hacked — and yet has Hollywood in its grip."

Canadian-centric training material for data librarians, by data librarians, but useful for those working with data

List of software for qualitative data analysis.

Shares and discusses examples of data visualizations

"illustrate the variety of roles that examples can serve, whether visual explanation, demonstration of capabilities, or idea conveniently packaged for reuse."

Open access version of a book on data visualization

Reports on broadcasters deliberately using typos to improve their Nielsen ratings

Courses from Kaggle, an organization that hosts competitions where teams are given real datasets and an objective to achieve

Open lessons. Even though it says "library", I really think this is a great mix of lessons.

Part 2 is the guide to presenting statistics.

Tool for creating a custom map

Data cleaning tool.

Youtube lecture about data analysis

A ton of lessons that cover data extraction and data analysis/mining for historians

Excellent list of potential issues with secondary datasets

Test and create regular expressions (PCRE & Javascript)

Links to resources for citing data, data terminology, and other learning resources.

Computer science synchronous courses for post-secondary students that sometimes cover data-related topics

Extract data out of PDF files

Workshop materials in open formats on digital scholarship (Jekyll, Docker, Unix, Git and GitHub), Data analysis and visualization (Tableau, R), and GIS

"These introductory level interactive modules are designed for users who want to get to grips with key aspects of survey, longitudinal and aggregate data." Uses a free equivalent of SPSS for many of its examples.

Github repository of data-related courses

How to transform data from crosstab/wide format (useful for working with Tableau) to flat/tabular/long format (useful for Excel pivot tables) in Excel

Really goes through the steps of what it means to visualize data.

Shares specific example of challenges of working with a secondary dataset

Article about choosing fonts for charts/tables filled with examples and suggestions

Visual example of how distribution measures can be misleading

Delightful examples of problematic data visualizations

Interesting story and visualizations illustrating what can be done by apps being given location access on phones