AI & Data
Statistics & Data Science Methods Challenges
Statistics & Data Science Methods challenges put you inside the work of drawing trustworthy conclusions from data. You'll build Statistics Fundamentals and Statistical Analysis, run Exploratory Data Analysis, Hypothesis Testing, Confidence Intervals, and Linear Regression, and design clean Sampling Methods.
From there you'll handle the harder edges — Bayesian methods, Causal inference, A/B testing with statistical significance, Monte Carlo Simulation, and Uncertainty Quantification — applying Experimental design the way data scientists actually do. Each challenge you solve earns a verified credential you can share with recruiters.
Recommended Challenges
- All
- Data Analysis
- Experimental design
- Simulation
- Exploratory Data Analysis
- Statistical Analysis
- Uncertainty Quantification
- Logistic regression
- Cost Modeling
- Hypothesis Testing
- Monte Carlo Simulation
- A/B testing with statistical significance
- Linear Regression
- Time series basics
- Bayesian methods
- Causal inference
- Sampling Methods
- ResearchSeniorNew
Pretrain a Small Vision Transformer with Self-Supervised Learning
You receive 80,000 unlabeled 224x224 histology tiles plus 4,000 labeled tiles split into train/val/test. Pretrain a ViT-Small using a self-supervised method of your choice (DINO…
- Self Supervised Learning
- Vision Transformers
- Pytorch
Advanced Deep Learning - AnalysisFoundationalNew
Diagnose and Fix the BrilhoBeleza Customer Journey
Working only from the four materials you are given — the company context brief, the digital funnel analytics export, the post-purchase survey results, and the session observatio…
- Customer Journey Mapping
- Data Analysis
- Ux Research
Open coursework - DesignIntermediateNew
Design a Real-Time Order Pipeline for a Fintech Payments Platform
You receive a synthetic Kafka stream of around 500 transactions per second, a static merchant dimension table (about 80,000 rows), and a daily FX rate snapshot. Design an end-to…
- Streaming Data
- Kafka
- Stream Processing
Data Engineering and Big Data Systems - CodeFoundationalNew
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
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
- AnalysisSeniorNew
Renewable Energy Investment Under Policy Uncertainty
You are a financial analyst at SunVest. The proposed solar farm has a capacity of 50 MW, construction cost €80M, and expected life 25 years. Key uncertainties: annual electricit…
- Real Options
- Monte Carlo Simulation
- Stochastic Modeling
Open coursework - AnalysisBeginnerNew
Differential Expression Pipeline for an RNA-Seq Drug Discovery Run
Build a Snakemake pipeline running: fastp trimming, salmon quantification against a provided GENCODE reference, tximport for gene-level summarization, DESeq2 differential testin…
- Bioinformatics
- Computational Genomics
- Differential Expression
Open coursework - CodeBeginnerNew
Predict Catalyst Properties for a Green-Hydrogen Pharma Spinout
Use an open catalyst dataset (e.g., Open Catalyst Project subset, or a Materials Project pull) where each candidate has descriptors and a target activity property. Train a tabul…
- Tabular Modeling
- Uncertainty Quantification
- Feature Engineering
AI for Science and Engineering - DesignSeniorNew
Auction Design for Renewable Energy Subsidies
Your team must design an auction mechanism for allocating subsidies to offshore wind projects. You have historical bid data from past auctions, cost estimates for different tech…
- Auction Theory
- Mechanism Design
- Game Theory
Industrial Economics and Game Theory - Browse challenges
Explore role
Marketing Analyst
Plan and measure campaigns that grow the business. Funnel analytics, attribution, segmentation, and the rigorous measurement that lets marketing defend its budget at the leadership table.
- ResearchSeniorNew
Solve a POMDP for a Healthtech Diagnostic Pathway
You receive a simplified pathway: 5 possible underlying conditions, 8 possible diagnostic tests each with documented sensitivity and specificity, and an outcome payoff matrix fr…
- Pomdp Modeling
- Belief States
- Approximate Solvers
Decision Making Under Uncertainty - AnalysisSeniorNew
Real Options Analysis for Ørsted Offshore Wind Expansion
Construct a base-case DCF for a 1.1 GW US offshore wind project using public assumptions on capex/MW, capacity factor, and PPA pricing. Then layer a real options framework: mode…
- Real Options
- Monte Carlo Simulation
- DCF Modeling
Advanced Corporate Finance - ResearchSeniorNew
Probabilistic Numerics for an ODE-Constrained Battery Model
You receive 12 months of charge/discharge cycle data for 50 battery packs from a delivery-van fleet, plus the existing single-particle ODE degradation model (Python). Use a prob…
- Probabilistic Numerics
- Bayesian Inference
- Ode Modeling
Open coursework - StrategyBeginnerNew
Reprice the Hero Serum for a Copenhagen Beauty Startup
Using the competitor price list, the customer purchase history, and the willingness-to-pay survey results provided to you, recommend a single new shelf price for the vitamin C s…
- Game Theory
- Pricing Strategy
- Market Analysis
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
- CodeIntermediateNew
Build an Anomaly-Detection Pipeline for Pharma Cold-Chain Logistics
You receive 18 months of shipment telemetry (around 60,000 shipments, around 12 million sensor readings) plus a hand-labeled set of 1,200 incidents (mix of true excursions, sens…
- Anomaly Detection
- Feature Engineering
- Time Series
Data Mining and Knowledge Discovery - AnalysisBeginnerNew
Diagnose and Optimize Inventory for a Milan Cosmetics Brand
Work only from the two materials you are given: a daily sales dataset covering the past twelve months for the ten products, and a parameters brief listing each product's price, …
- Excel Modeling
- Vba Programming
- Demand Forecasting
Open coursework - PresentationBeginnerNew
Storytelling Visualization of an Autonomous Vehicle Test Campaign
You receive aggregated test results: 12,000 test runs across dry, wet, and snow conditions, with metrics for disengagement rate, near-miss count, and route-completion percentage…
- Data Storytelling
- Audience Adaptation
- Chart Design
Data Visualization - StrategyBeginnerNew
Simulation-Based Customer Success Staffing Plan for Flowly
Using the historical ticket log, the growth-scenarios brief, and the current-operations and service-level specification provided to you, build a discrete-event simulation of Flo…
- Simulation
- Capacity Planning
- Scenario Analysis
Open coursework - DesignIntermediateNew
Design a Negotiation Protocol for Trading Agents
Choose a negotiation framework (alternating-offers Rubinstein, monotonic concession, or auction-based) and justify against the freight use case. Implement a simulator in Python …
- Agent Negotiation
- Game Theory
- Multi Agent Systems
Multi-Agent Systems - AnalysisBeginnerNew
Chunking Strategy Bake-Off for Financial Filings
You receive 40 anonymized 10-K filings and 100 labeled questions split into 50 narrative (e.g., 'what is the company's main risk factor?') and 50 numerical (e.g., 'what was oper…
- Document Chunking
- Semantic Chunking
- Layout Aware Chunking
Retrieval-Augmented Generation - ResearchBeginnerNew
Optimizing Onboarding for a Fintech App
Your task is to analyze the current onboarding flow, identify drop-off points, and propose a redesigned onboarding experience. You will use user behavior data (provided in a sim…
- User Research
- Ux Design
- Data Analysis
Product Management - StrategyBeginnerNew
Design a Weekly Dynamic Pricing Strategy for GlowVienna
Design a weekly dynamic pricing strategy for GlowVienna's flagship serum that the team could realistically operate. Ground your work in the three materials provided: the histori…
- Pricing Strategy
- Demand Forecasting
- Data Analysis
Open coursework - AnalysisFoundationalNew
Cluster Climate-Tech SMB Customers for a Growth Team
You receive a CSV with company size, industry sub-vertical, country, product features adopted, monthly active users, and lifetime value. Standardize features, decide on a cluste…
- Unsupervised Learning
- Clustering
- Dimensionality Reduction
Machine Learning (Undergraduate) - ResearchIntermediateNew
Hands-on Lab: Reproduce a Recent SOTA Vision Paper
Pick one of three pre-approved 2025 papers (offered by the supervisor) with a known reference codebase you may consult but not copy. Re-implement the model and training loop in …
- Pytorch
- Paper Reproduction
- Experiment Design
Open coursework - AnalysisBeginnerNew
Stress-Test a Hiring-Funnel Model for Bias
You receive a synthetic-but-realistic dataset of 25,000 past applicants with features (years of experience, education tier, prior role tags) and outcome labels (advanced past th…
- Model Evaluation
- Fairness Metrics
- Logistic Regression
Machine Learning (Undergraduate) - AnalysisIntermediateNew
Audit BLEU vs. COMET on a Multilingual Customer-Support Corpus
You receive 600 source-translation-reference triples covering 6 languages (EN as source; ES/FR/DE/JA/PT-BR/HI as targets), each scored on adequacy and fluency (1-6) by 3 profess…
- Mt Evaluation
- Neural Mt
- Statistical Analysis
Machine Translation
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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