Storytelling Visualization of an Autonomous Vehicle Test Campaign
Overview
What this challenge is about.
Storytelling Visualization of an Autonomous Vehicle Test Campaign. Intermediate challenge in presentation. Communicating complex ideas to real audiences, ear...
The Brief
What you'll do, and what you'll demonstrate.
Tell the same test campaign story for both the board and the engineering team without distorting the underlying numbers for either audience.
This is not a communication exercise. It is the work a professional does when they need to persuade a real audience. That distinction matters to every hiring manager who has seen candidates give class presentations and none who have communicated under real stakes.
When you finish, you will have something most graduates do not: a real-world deliverable, verified by Ewance, that you can show to a hiring manager and say "I did this. Here is the proof."
Earning criteria — what you'll demonstrate
- Adapt the same data story to two different audiences without distortion
- Apply chart-design conventions consistently across an artifact set
- Identify the headline metric per audience and lead with it
- Reason about ethical limits of chart-design persuasion
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Data Visualization
Master · Data Engineering
Strong alignment
This challenge maps to Data Visualization at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Data Storytelling
Apply data storytelling to solve real industry problems and demonstrate production-level capability.
- Audience Adaptation
Apply audience adaptation to solve real industry problems and demonstrate production-level capability.
- Chart Design
Apply chart design to solve real industry problems and demonstrate production-level capability.
- Exploratory Data Analysis
Apply exploratory data analysis to solve real industry problems and demonstrate production-level capability.
- Business Storytelling
Apply business storytelling to solve real industry problems and demonstrate production-level capability.
- Honesty In Charts
Apply honesty in charts to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
AI Product Manager
Turning model and test data into board and engineering narratives is a primary day-to-day skill of an AI PM.
This challenge sharpens
- data-storytelling
- audience-adaptation
- business-storytelling
Data Scientist
Communicating results honestly across audiences is repeatedly cited as the differentiator between mid-level and senior data scientists.
This challenge sharpens
- data-storytelling
- chart-design
- exploratory-data-analysis
AI Product Designer
Designing chart conventions that hold up across artifacts is the kind of systems-design thinking AI product designers bring to internal tooling.
This challenge sharpens
- chart-design
- honesty-in-charts
- audience-adaptation