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
- StrategyIntermediateNew
Social Media Content Strategy for a Sustainable Cosmetics Brand
Audit the brand's current social presence (screenshots and analytics data provided). Research 3 successful competitors' social strategies. Develop: (1) Platform strategy — which…
- Digital Marketing
- Online Marketing
- Digital Business Models
Open coursework - AnalysisIntermediateNew
IT Security Risk Assessment for a FinTech Mobile App
Using the provided architecture diagram and API documentation, perform a risk assessment covering: (1) Threat modeling using STRIDE, (2) Vulnerability identification across mobi…
- It Security
- Requirements Engineering
- Web Development
Open coursework - CodeIntermediateNew
Big Data Dashboard for Urban Mobility Patterns
Using the provided sample dataset (100K anonymized trip records with timestamps, origin/destination coordinates, transport mode, and duration), build a dashboard prototype. Requ…
- Data Analytics
- Digital Business Models
- Web Development
Open coursework - AnalysisIntermediateNew
E-Commerce Conversion Funnel Optimization for an Outdoor Gear Brand
Using the provided Google Analytics export and heatmap data, map the complete customer journey from landing page to purchase confirmation. Identify the top 5 friction points cau…
- E Commerce
- Data Analytics
- User Experience Design
Open coursework 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
- CodeIntermediateNew
Full-Stack Prototype: Event Ticketing Platform with QR Validation
Build a web application using any modern stack (Next.js recommended, but React + Express, Django, or Rails are acceptable). Required features: (1) Event listing page with title,…
- Web Development
- Object Oriented Programming
- User Experience Design
Open coursework - PresentationIntermediateNew
Stakeholder ROI Presentation for Implementing a CRM System
Compare three CRM solutions (Salesforce, HubSpot, Pipedrive) for the firm's specific needs. For each: feature comparison, pricing for 15 users, implementation timeline, and trai…
- Business Administration
- Digital Business Models
- Statistics
Open coursework - AnalysisIntermediateNew
GDPR Data Mapping and Privacy Impact Assessment for an E-Learning Platform
Using the provided system architecture and feature specification, deliver: (1) Complete data map showing all personal data flows (collection → processing → storage → deletion), …
- It Security
- Requirements Engineering
- Data Analytics
Open coursework - StrategyIntermediateNew
Responsible AI Policy for a HR-Tech Scale-up
Working as a cross-functional team, produce a Responsible AI Policy that addresses: permitted/prohibited use cases, human oversight requirements, data minimization, vendor due d…
- Ai Policy
- Ai Governance
- Stakeholder Management
AI, Ethics and Society - Browse challenges
Explore role
Product Manager
Ship product that solves real user problems. Combine user research, prototyping, and stakeholder alignment to turn ambiguous briefs into measurable wins — the role at the centre of modern software teams.
- AnalysisIntermediateNew
Fraud Risk Assessment at a Fast-Growing Jakarta Fintech
Working in a team of 3-4, build a fraud risk register covering at least eight fraud risks across revenue recognition, expected credit loss estimation, management override, and r…
- Fraud Risk Assessment
- Analytical Procedures
- Data Analytics
Auditing and Assurance - AnalysisIntermediateNew
Liquidity Risk Management for a Regional Bank
Your task is to create a liquidity risk management plan for Heartland Bank. First, calculate the Liquidity Coverage Ratio (LCR) and Net Stable Funding Ratio (NSFR) using the ban…
- Liquidity Risk
- Lcr
- Nsfr
Banking and Financial Institutions - DesignIntermediateNew
Scaling a Sydney D2C Cosmetics Startup's Data Pipeline
You are tasked with designing a cloud-based data pipeline for GlowUp. The pipeline must ingest real-time user events (page views, purchases, returns) from web and mobile apps, p…
- Cloud Computing
- Apache Spark
- Nosql
Big Data and Cloud Technologies - StrategyIntermediateNew
Designing a Blockchain-Based Supply Chain for Organic Cotton
Your task is to propose a blockchain-based supply chain solution for GreenWeave. You need to select an appropriate blockchain (public vs. private), define data to be recorded at…
- Blockchain
- Supply Chain
- Tokenization
Blockchain and Digital Assets Build a verifiable portfolio.
Submissions become evidence. Reviewers with shipping experience score against a rubric; the result becomes a credential anyone can verify.
Why Ewance
- AnalysisIntermediateNew
Optimizing Subscription Pricing for a Lagos D2C Cosmetics Startup
Your task is to analyze GlowCycle's customer data to identify segments with different price sensitivities and churn risks. Develop a predictive model to forecast churn probabili…
- Customer Segmentation
- Predictive Modeling
- Prescriptive Analytics
Business Analytics - DesignIntermediateNew
Simulation-Based Capacity Planning for a 40-Person SaaS Scale-Up
Your task is to simulate Flowly's customer success operations over the next 12 months. Model the arrival of new enterprise customers, their onboarding and support requests, and …
- Simulation
- Capacity Planning
- Scenario Analysis
Business Analytics - DesignIntermediateNew
Optimizing Inventory for a Toronto D2C Cosmetics Brand
Your task is to design a multidimensional data model (star schema) for inventory management, create an ETL pipeline to load sample data (provided as CSV files), and develop an O…
- Data Warehousing
- Etl
- Olap
Business Intelligence - AnalysisIntermediateNew
Sales Performance Analysis for a 40-Person SaaS Scale-Up
You will receive a dataset containing 500+ sales opportunities with fields like deal value, stage, source, close date, and account size. Your challenge is to design a data mart …
- Data Warehousing
- Etl
- Olap
Business Intelligence - AnalysisIntermediateNew
Reducing Turnover at a Dubai D2C Cosmetics Startup
Conduct a qualitative and quantitative analysis of turnover data (provided in a simulated dataset), including exit interview themes and engagement survey scores. Identify the to…
- Turnover Analysis
- Job Crafting
- Engagement Surveys
Business and Industrial Psychology - StrategyIntermediateNew
Growth Strategy for an Amsterdam D2C Cosmetics Startup
Your task is to analyze GlowUp Naturals' current performance, assess the offline retail opportunity (e.g., partnerships with Sephora or independent boutiques), and propose a pha…
- Market Analysis
- Financial Modeling
- Channel Strategy
Management Consulting - StrategyIntermediateNew
Revamping Loyalty for a Mexico City D2C Cosmetics Brand
You are hired as a marketing analyst. Analyze Brillo Natural's existing customer data (provided in a simulated dataset) to identify purchase patterns and decision triggers. Prop…
- Consumer Psychology
- Segmentation
- Loyalty Program Design
Consumer Behavior - StrategyIntermediateNew
Diversification Strategy for a Nairobi D2C Cosmetics Brand
Your task is to conduct a portfolio analysis using the BCG matrix or a similar tool, evaluate at least three diversification options using criteria such as market growth, synerg…
- Portfolio Analysis
- Market Research
- Strategic Thinking
Corporate Strategy - AnalysisIntermediateNew
Optimizing Ad Spend for a D2C Cosmetics Brand
You are a data analyst at Glow & Grow. Using the provided dataset (simulated), perform an exploratory data analysis to understand trends in ad performance. Build a regression mo…
- Data Analysis
- Regression
- Data Visualization
Data Analytics for Business - AnalysisIntermediateNew
AI-Powered Customer Sentiment Analysis for a Fintech App
You will receive a dataset of 500+ anonymized app reviews and tweets. Using AI tools like ChatGPT or Claude, you must craft prompts to classify sentiment (positive, negative, ne…
- Prompt Engineering
- Sentiment Analysis
- Data Visualization
Data-Driven Prototyping with AI - DesignIntermediateNew
Optimizing Inventory for a São Paulo D2C Cosmetics Brand
You are given a CSV file with raw sales, inventory, and supplier data. Your task is to design an E/R diagram, create the normalized relational schema in 3NF, populate it with sa…
- Sql
- Database Design
- Normalization
Database Systems - AnalysisIntermediateNew
Churn Prediction for a Stockholm D2C Cosmetics Brand
You are a data science consultant hired by NordicGlow. Using the provided dataset (synthetic but realistic), you must preprocess the data, engineer features from transaction, cl…
- Data Preprocessing
- Feature Engineering
- Classification
Data Science for Business
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.
Industry teams behind a decade of practitioner briefs
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Sponsor a challenge and meet candidates through actual work.
Industry teams can shape briefs around the skills they hire for, then evaluate students on rubric-scored deliverables — not resumes.