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.
Recommended Challenges
· Data Visualization Clear- 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
Open coursework - AnalysisBeginnerNew
Lower TikTok Acquisition Costs for a Direct-to-Consumer Cosmetics Brand
Working only from the materials provided, diagnose what makes some of the brand's TikTok ads far cheaper to convert than others and recommend how to reshape future creative. Sta…
- Web Scraping
- Content Analysis
- Data Visualization
Open coursework - AnalysisIntermediateNew
Mapping TaskFlow's Influencer Network for Enterprise Reach
Working from the campaign case file, the account-attributes dataset, and the interaction-edges dataset (all listed in provided materials), build a directed influence network whe…
- Network Analysis
- Twitter API
- Influencer Identification
Open coursework - AnalysisBeginnerNew
Redesign GlowCycle's Subscription Pricing to Cut Skincare Churn
Using only the GlowCycle subscription dataset and the company context file provided with this challenge, design a new tiered subscription pricing structure that reduces monthly …
- Customer Segmentation
- Predictive Modeling
- Prescriptive Analytics
Open coursework 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
- AnalysisBeginnerNew
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
Open coursework - 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
Open coursework - PresentationBeginnerNew
Evaluate Intelligent Agents in a Sustainable-Logistics Simulation
Build a small grid-world simulation where a delivery agent must complete 10 stops while respecting traffic, charging needs, and time windows. Implement three classical agent des…
- Intelligent Agents
- Simulation Design
- Python
Introduction to Artificial Intelligence - 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
Open coursework - 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
Workforce Readiness Case File for a SaaS Sales Pivot
Working only from the two items in your provided materials — the longitudinal workforce records file and the chief executive's transition memo — examine whether Halyard's people…
- Hr Analytics
- Data Visualization
- Workforce Planning
Open coursework - 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
Open coursework - AnalysisSeniorNew
Stochastic Inventory Policy for a Sustainable Fashion Brand
Using historical demand data (provided), fit a demand distribution and determine optimal (s, S) or (R, Q) policy parameters. Consider perishability (seasonal collections) and a …
- Inventory Optimization
- Stochastic Modeling
- Simulation
Open coursework - 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
Open coursework 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
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 - AnalysisBeginnerNew
Topic Modeling for Sustainable Fashion Brand's Social Media
You are given a dataset of 50,000 social media posts (text only) mentioning EcoWear. Your task is to preprocess the text, apply an unsupervised topic modeling technique (e.g., L…
- Topic Modeling
- Text Mining
- Lda
Open coursework - DesignSeniorNew
Design a Multi-Objective Dynamic Pricing Engine for CityRide
Acting as a data scientist on CityRide's pricing team, design and prototype a dynamic pricing engine that, given the live time, pickup zone, and supply-demand conditions, quotes…
- Reinforcement Learning
- Optimization
- Simulation
Open coursework - StrategyBeginnerNew
Design a Talent Retention Strategy for a Renewable Energy Firm
Working only from the three materials provided to you — the exit-interview record, the monthly turnover and headcount tracker, and the market compensation benchmark sheet — anal…
- Retention Analysis
- Turnover Metrics
- Compensation Benchmarking
Open coursework - AnalysisBeginnerNew
Wage Compression at a San Francisco D2C Cosmetics Startup
Your task is to analyze the startup's current wage data (provided in a simulated dataset), identify the extent of wage compression, and recommend a wage adjustment plan. Success…
- Wage Analysis
- Market Benchmarking
- Data Visualization
Open coursework - CodeBeginnerNew
Implement a Distance-Vector Routing Algorithm
Implement distance-vector routing in Python: each simulated router maintains a distance vector, exchanges vectors with neighbors every 1 second of simulated time, and updates it…
- Routing
- Distance Vector
- Network Simulation
Open coursework - AnalysisFoundationalNew
Investigate Price Sensitivity for GlowSydney's New Moisturizer
Working solo, begin by exploring the GlowSydney transaction history (provided as the dataset 'glowsydney-transactions') to summarize how prices and units sold are distributed, u…
- Descriptive Statistics
- Linear Regression
- Data Visualization
Open coursework - 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
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
Open coursework - AnalysisBeginnerNew
Decode Reddit Sentiment for EcoWear's Biodegradable Sneaker Launch
Working only from the provided materials, reconstruct and interpret the public conversation around EcoWear's launch. Use the EcoWear Launch Dossier to ground yourself in the tim…
- Web Scraping
- Sentiment Analysis
- Topic Modeling
Open coursework - CodeIntermediateNew
Build a WCAG 2.2 AA Accessible Chart Component Library
Build a React and TypeScript component library that exports four chart components (bar, line, scatter, heatmap), each rendering the figures in the provided sample analytics data…
- Accessibility
- Wcag 2
- React
Open coursework - 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
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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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.