The training format of this program is hybrid, consisting both of self-paced training modules and live in-depth workshops with key industry players.
Through the weeks of this training, you will build the technical and critical skills needed to navigate the world of collecting, analyzing, and presenting data.
[icon name="book"] 12 short lessons to follow at your own pace
[icon name="thermometer-3"] 5 quizzes to self-assess your learning progress
[icon set="fa" name="video-camera"] 3 live workshop with key players in the industry
[icon name="comments"] 1 Slack community to join for Q&As and peer-to-peer learning
[icon name="pencil"] 1 final assignment
[icon name="graduation-cap"] 1 certificate of completion
Articulate information needs, to locate and retrieve digital data, information and content.
Judge the relevance of the source and its content.
Generate, select, critically analyse and interpret digital evidence.
Effectively access, interpret, act on, and communicate multiple types of data.
[icon set="fa" name="book"] Module 1: Finding data 🔍
[icon set="fa" name="caret-right"] What is data?
[icon set="fa" name="caret-right"] Where to find data?
[icon set="fa" name="caret-right"] How to evaluate a dataset?
[icon set="fa" name="book"] Module 2: Cleaning data 🧤
[icon set="fa" name="caret-right"] What is data cleaning?
[icon set="fa" name="caret-right"] How to find errors in a dataset?
[icon set="fa" name="caret-right"] How to clean a dataset?
[icon set="fa" name="book"] Module 3: Analyzing data 👩💻
[icon set="fa" name="caret-right"] What is statistics?
[icon set="fa" name="caret-right"] How to get answers from a dataset?
[icon set="fa" name="caret-right"] How to create a pivot table?
[icon set="fa" name="book"] Module 4: Visualizing data 📊
[icon set="fa" name="caret-right"] What is data visualization?
[icon set="fa" name="caret-right"] How to design an effective data visualization?
[icon set="fa" name="caret-right"] How to create a data visualization?
During this period, you will have three live workshops with industry experts, to enrich your journey with a new perspective on the impact that working with data has in different sectors.
To meet the availability of participants, we will open a dedicated Slack channel to be used to resolve any doubts, request help or interact with other participants in the programme.
Throughout the programme, it is planned to work on a final assignment (Data Pitch) to be presented during the programme's closing ceremony in February 2024.
You can see the presentation from the last edition here:
And here the first presentation webinar we host on 18th May with European Data Journalism Network (ps: more are coming in June and July!)