Data Sciences Challenges
Explore data science challenges on Ewance to build skills employers expect from analysts and ML engineers. Work through challenges on data cleaning, exploratory analysis, modeling, and storytelling with data.
Most Popular
- AnalysisBeginnerNew
Tax Compliance and Optimization for a Renewable Energy Cooperative
Students receive SunShare eG's annual financials: €2M revenue from electricity sales, €1.5M operating expenses, €300k EEG subsidies, and €200k member contributions. They must ca…
- Corporate Tax
- Trade Tax
- Vat
Open coursework - AnalysisBeginnerNew
Value a Johannesburg Direct-to-Consumer Skincare Startup
Using the company data room, the comparable funding-rounds dataset, and the founder's investment memo provided to you, value the company with at least two independent methods: t…
- Startup Valuation
- Term Sheet Analysis
- Financial Modeling
Open coursework - DesignBeginnerNew
Design an Android Shopping App for GlowLagos Cosmetics
Design and prototype an Android shopping app for GlowLagos using the provided brand kit (GlowLagos Brand & Content Kit) and the provided sample product catalog (GlowLagos Sample…
- Android Design
- Ui Ux
- Figma
Open coursework
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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