How it works

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.

What you will have access to:

[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"]  4  live workshop with key players in the industry.

[icon name="comments"]  2   "Learning cafes" for Q&As and peer-to-peer learning.

[icon name="pencil"]  1  final assignment on which you will receive personalised feedback.

[icon name="graduation-cap"]  1   certificate of completion.



Learning Outcomes

The course has been designed to deliver learning outcomes that adhere to international guidelines and definitions of Data Literacy competences.

  • 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.

Program Calendar

Self-paced course

[icon set="fa" name="book"] Module 1: Finding data

August 2022

This is the first module of the self-paced course, and it includes lessons related to the skills involved in sourcing and assessing datasets. It contains the following lessons:

[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

August 2022

This is the second module of the self-paced course, and it includes lessons related to the skills involved in preparing a dataset for analysis and visualization. It contains the following lessons:

[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="comments"]  11/08/2022: Learning cafe

A collective Q/A session to solve any doubts you have on the first two modules of the self-paced course.

[icon set="fa" name="book"] Module 3: Analyzing data

August 2022

This is the third module of the self-paced course, and it includes lessons related to the skills involved in finding insights in your data. It contains the following lessons:

[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

August 2022

This is the fourth of the self-paced course, and it includes lessons related to the skills involved in presenting your data to an audience. It contains the following lessons:

[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?

[icon set="fa" name="comments"]  02/09/2022: Learning cafe + Final assignment kick-off session

A collective Q/A session to solve any doubts you have on the last two modules of the self-paced course. During this session, you will also receive instructions on how to proceed with the final assignment for this course.

Live workshops

September - October  2022

During this period, you will have four live workshops with industry experts, to enrich your journey with a new perspective on the impact that working with data has in different sectors. The program is the following:

[icon set="fa" name="calendar-o"]  08/09/2022 • Setting up a data strategy
[icon set="fa" name="calendar-o"]  21/09/2022 • Responsible Data practices
[icon set="fa" name="calendar-o"]  09/10/2022 • Creating data when there is none
[icon set="fa" name="calendar-o"]  20/10/2022 • Data for accountability, transparency, and impact

Final assignment

September - October  2022

During this period you are expected to work on your final assignment. You are free to work on it on the schedule that suits you, as long as you respect the following key dates. 

[icon set="fa" name="calendar-o"]  01/09/2022 • Learning cafe (live)
[icon set="fa" name="calendar-o"]  21/10/2022 • Deadline for submission of the assignment
[icon set="fa" name="calendar-o"]  28/10/2022 • Assignment feedback sessions (live)