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
- CodeBeginnerNew
Optimizing Inventory for a Barcelona D2C Cosmetics Brand
You are given a CSV file with 6 months of daily sales data for 20 SKUs, including product name, date, units sold, and current stock level. Your task is to write a Python program…
- Python
- Data Cleaning
- Data Analysis
Programming for Business Applications - AnalysisBeginnerNew
Sales Force Restructuring for Regional Retail Chain
Your task is to produce a sales force restructuring plan for GreenMart. Deliverables include: (1) an analysis of current sales force performance (using provided sales data), (2)…
- Sales Force Analysis
- Incentive Design
- Training Program Design
Sales Management - AnalysisBeginnerNew
Customer Experience Analysis for a D2C Cosmetics Brand
You are a customer experience analyst at BrilhoBeleza. Your task is to analyze the current customer journey from awareness to repeat purchase. Use web analytics, user session re…
- Customer Journey Mapping
- Data Analysis
- Ux Research
Smart Services and Digital Products - AnalysisBeginnerNew
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 Practice your coursework on real scenarios.
Every challenge is shaped from real industry context — not generic exercises. The work mirrors what your degree prepares you for.
Why Ewance
- StrategyBeginnerNew
ESG Strategy for a 40-Person SaaS Scale-Up
Develop a one-page ESG strategy dashboard with 5-7 key performance indicators (KPIs) relevant to a SaaS company, including data collection methods and a 6-month implementation p…
- Esg Reporting
- Sustainability Metrics
- Stakeholder Engagement
Sustainability and Sustainable Business - AnalysisBeginnerNew
Sentiment Analysis for Tel Aviv D2C Cosmetics Brand
You are provided with a dataset of 10,000 customer reviews (in English) with no labels. Your task is to preprocess the text, develop a sentiment classification model using NLP t…
- Text Preprocessing
- Sentiment Analysis
- Classification
Text Analytics and Natural Language Processing
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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