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
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 - 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 - 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 - 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
Open coursework Develop in-demand professional skills.
Each challenge names the skills it strengthens. Over time, your profile fills with the competences a hiring manager would actually look for.
Why Ewance
- 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 - DesignBeginnerNew
Redesign an Executive Revenue Dashboard for an E-Commerce Marketplace
Interview the CFO, the head of category, and 2 finance analysts for 30 minutes each to elicit the 6 analytic tasks the dashboard must support (e.g. month-over-month variance, ca…
- Dashboard Design
- Visual Encoding
- Task Analysis
Information and Data Visualization - DesignBeginnerNew
Design a GPU-Accelerated Real-Time Wind Turbine Fleet Dashboard
Using the four provided materials, write a design proposal for the rebuilt fleet dashboard. The turbine fleet seed dataset defines the turbines you will render and how to scale …
- Webgl
- Gpu Pipeline
- Data Visualization
Open coursework - StrategySeniorNew
Service Quality Improvement for a Regional Hospital Chain
Your task is to conduct a gap analysis using SERVQUAL dimensions (reliability, responsiveness, assurance, empathy, tangibles) based on patient survey data (provided). Identify t…
- Service Quality
- Servqual
- Process Improvement
Open coursework - Browse challenges
Explore role
Strategy Analyst
Frame the business question, model the options, build the recommendation. From market sizing to competitive analysis, this role is where strategy consulting meets in-house decision-making.
- CodeSeniorNew
Forecasting Exchange Rates for a 40-Person SaaS Scale-Up
Your task is to collect monthly data for the past 5 years for GBP/USD and EUR/USD, along with relevant predictors (interest rate differentials, inflation, GDP growth, trade bala…
- Time Series Forecasting
- Econometric Modeling
- Python
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 - 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 - DesignIntermediateNew
Design a Churn Prediction and Retention Proposal for ConnectTel
Using the ConnectTel customer sample (the provided dataset) and the ConnectTel retention context brief, design a proposal for predicting which customers are most likely to leave…
- Logistic Regression
- Classification Metrics
- Feature Selection
Open coursework Get recognized by recruiters and employers.
Credentials are blockchain-anchored via LearnCoin — tamper-evident, portable, link-shareable on LinkedIn and beyond.
Why Ewance
- 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 - 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 - DesignBeginnerNew
Design a Model-Monitoring Dashboard for an MLOps Platform
You receive realistic 30-day metric streams for three production models (a classifier, a regressor, and a ranker) including prediction volume, latency p50/p95, accuracy or RMSE …
- Dashboard Design
- Visual Hierarchy
- Chart Selection
Data Visualization - 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 - 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 - AnalysisBeginnerNew
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
Open coursework - 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 - 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
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.