As a data professional, you learn to use tools, crunch numbers, develop attractive charts, and create engaging presentations. But ...

- What if your analysis does not hold water? 🌊

- What if your conclusions are wrong? 😫

- What if your audience gets the wrong message? ❗️

Mistakes in data reasoning can have disastrous consequences for yourself and your organization: loss of trust, reduced credibility, wrong decisions, and even harm.

- Learning a new tool won't help

- Learning to code won't help

- Learning to create pretty charts won't help

- Learning to tell more engaging "data stories" won't help

What you need is a systematic framework to think effectively with and about data.

WHAT YOU'LL LEARN

1. How to spot issues in the data

2. How to calculate the right numbers

3. How to design the right representations

4. How to design truthful framings

THE COURSE INCLUDES

- 6 live meetings (recorded and shared)

- 5 pre-recorded video lectures and quizzes

- 5 hands-on group activities

- 1 final hands-on project

(Note: The course does not require knowledge of any specific data processing or visualization tool.)

WHO WILL BENEFIT MOST FROM THIS COURSE

Data professionals and enthusiasts who want to sharpen their data reasoning skills and produce more truthful charts. This includes a broad swath of professionals such as data analysts, data scientists, scientists and researchers, visualization designers, product managers, and data journalists.

WHO THIS IS NOT FOR

This course is not designed for:

- Learning specific tools or libraries (Tableau, Power BI, Plotly, D3.js, etc.)

- Learning how to make charts more aesthetically pleasing (even though that is important)

The course is also unsuitable for individuals who prefer to work at their own pace and are not interested in interacting with others. The live meetings require everyone to be actively engaged in discussions, conversations, and collaborative work.