Transversal
Data Visualization & Reporting Challenges
Data Visualization & Reporting challenges put you inside the work of turning numbers into decisions people can act on. You'll develop skills in Chart Selection, Chart Reading, and Dashboard Design, and you'll design KPI & OKR metrics while building KPI Dashboards that make performance legible at a glance.
From there you'll handle the harder edges — Storytelling with data, Multi-source data narratives, and Executive dashboards — working with Tableau or Power BI dashboards the way reporting teams actually do. Each challenge you solve earns a verified credential you can share with recruiters.
- AnalysisBeginnerNew
Optimizing TikTok Ad Creative for a D2C Cosmetics Brand
You are a marketing analyst at GlowUp. Using the TikTok Ads Library API and web scraping, collect data on at least 50 ad creatives (video thumbnails, captions, CTAs, and perform…
- Web Scraping
- Content Analysis
- Data Visualization
Social Media and Web Analytics - 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 - StrategyIntermediateNew
Yield Management for a Boutique Hotel Chain
Your task is to create a yield management strategy for NordicStays. You will analyze historical booking data (provided) to identify demand patterns, price sensitivity, and booki…
- Yield Management
- Revenue Optimization
- Forecasting
Pricing and Revenue Management - AnalysisBeginnerNew
Customer Lifetime Value Model for SaaS Scale-up
You are provided with a dataset of 5,000 customers with features: acquisition channel, monthly spend, tenure, number of support tickets, product usage metrics, and churn flag. Y…
- Customer Lifetime Value
- Predictive Modeling
- Customer Segmentation
Marketing Analytics Practice your coursework on real scenarios.
Every challenge is shaped from real-world context — not generic exercises. The work mirrors what your degree prepares you for.
Why Ewance
- AnalysisFoundationalNew
Controlling Inventory for a Sustainable Fashion Brand
Your task is to develop an inventory control system for EcoThreads. You must analyze historical sales data (provided in a CSV), identify patterns, propose KPIs (e.g., turnover r…
- Inventory Management
- Data Analysis
- KPI Definition
Principles of Management - ResearchIntermediateNew
Computational Newsroom: Analyze Crisis Information Flow on Social Platforms
Receive an anonymized 72-hour dataset of posts, reposts, quotes, and replies (10M events) tagged to the public-health alert. Build a temporal repost-and-reply network at minute …
- Computational Journalism
- Temporal Networks
- Network Science
Network Science and Computational Social Science - CodeBeginnerNew
Build a Crawler-and-Topic Pipeline for Public-Sector Web Analytics
You will build a polite, robots.txt-respecting crawler that ingests about 30,000 new posts/week across the 80 forums into a normalized dataset. Apply a topic model (BERTopic, wi…
- Web Crawling
- Topic Modeling
- NLP Pipeline
Social Network Analysis and Web Science - AnalysisBeginnerNew
Demand Forecasting for a New York D2C Cosmetics Brand
You are a forecasting analyst at Glow NYC. Using provided monthly sales data (units sold) for 10 SKUs, develop a time series forecast for the next 3 months. Compare at least two…
- Time Series Analysis
- Forecasting
- Data Visualization
Forecasting for Decision Making - 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.
- AnalysisBeginnerNew
Build a Public Open-Data Dashboard for Urban Mobility
Pull the city's open-data cyclist-collision dataset (10 years of incidents, geocoded). Define a clear before/after window around the protected-lane rollout, control for traffic-…
- Exploratory Data Analysis
- Data Wrangling
- Geospatial Analysis
Applied Data Analysis and Practical Data Science - AnalysisIntermediateNew
Predict Customer Churn for a Telecom Company
You are a business analyst at ConnectTel. Using the provided dataset, conduct exploratory data analysis to understand churn patterns. Then, build a logistic regression model to …
- Logistic Regression
- Classification Metrics
- Feature Selection
Statistics for Business - DesignBeginnerNew
Balanced Scorecard for a Lisbon Vegan Meal-Kit Startup
Design a complete Balanced Scorecard for the startup including a strategy map, 12-16 KPIs across the four perspectives, target values, and an explanation of cause-and-effect lin…
- Balanced Scorecard
- KPI Design
- Strategy Mapping
Advanced Management Accounting & Control - AnalysisBeginnerNew
Inflation Hedging for a Lagos D2C Cosmetics Brand
Your task is to analyze recent inflation data, Central Bank of Nigeria (CBN) monetary policy, and USD/NGN exchange rate trends. Then, propose a combination of financial instrume…
- Inflation Analysis
- Monetary Policy
- Exchange Rate Forecasting
Macroeconomics 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
- ResearchSeniorNew
Neuromarketing Audit for a Sustainable Fashion Retailer
Your team will design and simulate a neuromarketing experiment. First, propose two alternative store layouts (e.g., circular vs. grid) and two website homepage designs (e.g., he…
- Neuromarketing
- Experimental Design
- Eye Tracking Analysis
Consumer Behavior - AnalysisBeginnerNew
Reducing Defect Rate in Stockholm D2C Cosmetics Production
Your task is to collect and analyze production data (provided in a simulated dataset) to identify root causes of defects. Use control charts (X-bar and R) and process capability…
- Statistical Process Control
- Process Capability Analysis
- Root Cause Analysis
Quality and Productivity Management - CodeBeginnerNew
Real-Time Data Visualization Dashboard for an IoT Fleet
Build a deck.gl scatterplot layer rendering 38,000 turbine positions on a map base layer. Color-code by status (operational / degraded / offline) updating from a WebSocket strea…
- Webgl
- Gpu Pipeline
- Data Visualization
Introduction to Computer Graphics - 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 - CodeBeginnerNew
Build a Real-Time Operations Wall Display for a Logistics AI Startup
You receive a websocket feed of operational events (around 20 events per second) plus a small KPI definition list (throughput per zone, late-truck count, exception queue depth, …
- Realtime Visualization
- Glanceability
- D3
Data Visualization - 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 - DesignBeginnerNew
Detect Sensor Drift for a Field Inspection Robot Fleet
You receive 60 days of telemetry from 12 robots, including IMU readings, camera exposure stats, and the inspection-quality scores produced downstream. Define drift signals (roll…
- Anomaly Detection
- Change Point Detection
- Sensor Fusion
Robot Perception and Autonomy - AnalysisIntermediateNew
A/B Testing for a 40-Person SaaS Scale-up Moving to Enterprise
You are a data analyst at TaskFlow. You are given the raw A/B test data (visitor logs, conversions, and downstream sales data). Your task is to perform a rigorous analysis: chec…
- A B Testing
- Statistical Analysis
- Bayesian Methods
Data Science for Business - CodeIntermediateNew
Build an Accessibility-First Visualization Component Library
Build a React + TypeScript component library exporting 4 chart components. Each component must: (a) be navigable by keyboard, (b) expose data via accessible name + ARIA descript…
- Accessibility
- Wcag 2
- React
Information and Data Visualization - ResearchSeniorNew
Experimental Design for a Fintech App's Savings Nudge
You are a behavioral data scientist at SaveSmart. Design a randomized controlled trial (RCT) to test the effect of a 'future self' nudge on savings behavior. Define treatment an…
- Experimental Design
- Statistical Analysis
- Nudge Theory
Behavioral Economics - CodeSeniorNew
Real-Time Sentiment Analysis for a Sustainable Fashion Brand
You are to develop a real-time sentiment analysis system for EcoWear. Ingest data from Twitter API (hashtag #EcoWear) and a mock review API, process using Spark Streaming with M…
- Spark Streaming
- Mapreduce
- Nosql
Big Data and Cloud Technologies - AnalysisBeginnerNew
Developing a Talent Retention Strategy for a Renewable Energy Firm
Your task is to conduct a retention analysis using provided exit interview data, turnover metrics, and compensation benchmarks. Then design a retention strategy with at least th…
- Retention Analysis
- Turnover Metrics
- Compensation Benchmarking
Human Resource Management
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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Industry teams behind a decade of practitioner briefs
Hiring from this pool?
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.