Data Visualization
If you like applying Data Visualization, every challenge here gives you a chance to practice it on a real industry brief.
- AnalysisFoundationalNew
Optimize Pricing for a Sydney D2C Cosmetics Brand
You are a junior data analyst at GlowSydney. Using the provided dataset of 500 transactions (including price, units sold, customer age, and gender), perform descriptive statisti…
- Descriptive Statistics
- Linear Regression
- Data Visualization
Statistics for Business - AnalysisFoundationalNew
Pricing Strategy for a Sustainable Fashion Brand
You are a pricing analyst at EcoWear. Using the survey data (simulated with 500 responses) and competitor prices, perform a conjoint analysis or price elasticity analysis. Deter…
- Data Analysis
- Statistics
- Data Visualization
Data Analytics for Business - AnalysisFoundationalNew
Optimize Ad Spend for Munich D2C Cosmetics Brand
You are given a CSV dataset with 10,000 rows of ad performance data including date, campaign, audience segment, creative type, impressions, clicks, conversions, and spend. Your …
- A/B Testing
- Regression Analysis
- Data Cleaning
Marketing Analytics
How it works
From brief to credential, in six steps.
Step 01
Browse challenges aligned to your studies.
Step 02
Accept the one that fits your goals.
Step 03
Work through it with AI Copilot guidance.
Step 04
Submit for structured evaluation.
Step 05
Earn a verified credential.
Step 06
Add it to LinkedIn with one click.
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