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
- AnalysisBeginnerNew
Cost-Model a Foundation-Model API Migration
You receive: 90 days of API logs (request volume, token distributions), the customer's golden eval set of 200 prompts, the incumbent and new pricing schedules, and quality ratin…
- Cost Modeling
- Ai Strategy
- Model Evaluation
AI for Business and AI Product Management - CodeIntermediateNew
Gaussian Process Regression for Wind Farm Power Curves
You receive 12 months of 10-minute SCADA data (wind speed, air temperature, power output) for 30 representative turbines, plus the manufacturer's published curve. Fit a GP with …
- Gaussian Processes
- Kernel Methods
- Uncertainty Quantification
Open coursework - AnalysisBeginnerNew
Design a Churn-Prediction and Retention Model for TaskFlow
Using the TaskFlow customer dataset and the VP's framing memo (both provided), design and document a churn-prediction model. Perform exploratory analysis to surface patterns and…
- Logistic Regression
- Classification
- Feature Engineering
Open coursework - StrategyBeginnerNew
Scope a Demand-Forecasting Model with Operations Stakeholders
You receive recorded interview transcripts (or summary notes) for the three personas, plus a sample of the historical sales data. Map each stakeholder's pain to candidate ML pro…
- Stakeholder Framing
- Ml Problem Scoping
- Metric Design
Machine Learning in Practice 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
- CodeIntermediateNew
Plan Inventory Replenishment as an MDP for an E-Commerce AI Startup
You receive 18 months of daily demand for 50 representative SKUs at one warehouse plus lead-time and unit-cost data. For one SKU at a time, formulate an MDP with state = (on-han…
- Mdp Modeling
- Value Iteration
- Dynamic Programming
Open coursework - CodeIntermediateNew
AI-Driven Sales Lead Scoring for a B2B SaaS Scale-Up
You will receive a sample dataset of 200 leads with fields like company size, industry, email open rates, and website visits. Using AI tools, you must craft prompts to generate …
- Prompt Engineering
- Lead Scoring
- Data Analysis
Open coursework - AnalysisIntermediateNew
Cache Coherence Protocol Comparison on a Multicore Simulator
Stand up gem5's Ruby coherence framework with both MESI and MOESI protocols on a 16-core configuration. Run the 6-benchmark suite (provided): producer-consumer queue, false-shar…
- Cache Coherence
- Multicore Architecture
- Simulation
Advanced Computer Architecture - CodeBeginnerNew
Optimizing Last-Mile Delivery for a Lisbon Grocery Startup
Your task is to build a linear programming model (or heuristic) to assign orders to vehicles and sequence deliveries. Success means reducing average route length by at least 15%…
- Linear Programming
- Python
- Route Optimization
Open coursework - 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.
- 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 - AnalysisBeginnerNew
Impact Measurement for a San Francisco D2C Cosmetics Brand
Your task is to develop a comprehensive impact measurement framework for GlowRoot. You will identify relevant metrics (e.g., carbon footprint reduction, trees planted, customer …
- Impact Measurement
- Social Return On Investment
- Data Analysis
Social Entrepreneurship and Impact - 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
Optimizing Last-Mile Delivery for a New York D2C Cosmetics Brand
Your task is to evaluate the startup's current last-mile delivery operations using the SCOR model and propose improvements. Constraints: no capital expenditure for a private fle…
- Supply Chain Analysis
- Scor Model
- Logistics Optimization
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
- AnalysisSeniorNew
Process Mining for Order-to-Cash in a Mid-Size Manufacturing Firm
Your task is to analyze the provided event log using process mining software (e.g., Disco, Celonis, or ProM). Discover the as-is process model, identify bottlenecks, rework loop…
- Process Mining
- Event Log Analysis
- Bpmn Modeling
Business Process Management - AnalysisBeginnerNew
Optimizing Last-Mile Delivery for a San Francisco Grocery Startup
Your task is to formulate a minimum-cost flow problem for daily delivery routes. Use the provided order data (locations, time windows, volumes) and vehicle specs (capacity, spee…
- Linear Programming
- Network Flow
- Python
Operations Research and Optimization - AnalysisBeginnerNew
Cluster a Telco's Subscriber Base for a Pricing Refresh
You receive 12 months of anonymized subscriber-level data: monthly minutes, SMS, mobile data, top-up frequency, top-up amount, churn flag, and tenure. Clean and feature-engineer…
- Clustering
- Feature Engineering
- Exploratory Data Analysis
Data Mining and Knowledge Discovery - 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 - AnalysisIntermediateNew
Measure HTTP/3 vs HTTP/2 Video Delivery Over Cellular
Using the architecture brief, the four-week quality-of-experience dataset, the cellular-and-video-profiles specification, and the starter synthetic-client harness module (all pr…
- Quic Http3
- Network Measurement
- Transport Protocols
Open coursework - ResearchSeniorNew
Train Cooperative Agents with Multi-Agent RL
Pick an open multi-agent environment (PettingZoo's MPE 'simple_spread', Overcooked-AI, or SMAC). Implement or wrap three methods: IPPO (independent PPO per agent), MAPPO (centra…
- Multi Agent Reinforcement Learning
- Ppo
- Pytorch
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 - 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 - CodeIntermediateNew
Safety-Critical Test Harness for an AV Planner
Use CARLA (open-source AV simulator) and encode 10 representative safety scenarios across 3 categories (cut-in, pedestrian emergence, signalized-intersection right-of-way). Writ…
- Simulation
- Scenario Testing
- Safety Evaluation
Open coursework - ResearchSeniorNew
Curriculum RL for a Simulated Drone Inspection Task
You receive a PyBullet-based wind-turbine inspection simulator with parameterizable wind, blade orientation, and sensor noise. Design a 3-stage curriculum: (1) hover near a stat…
- Ppo
- Curriculum Learning
- Deep Rl
Open coursework - CodeSeniorNew
Coordinate a Fleet of Warehouse Robots
Implement a simulated warehouse grid with 80 robots solving a pick-and-deliver workload. Design a decentralized coordination protocol (recommend a contract-net or auction-based …
- Multi Agent Coordination
- Decentralized Algorithms
- Simulation
Open coursework - AnalysisBeginnerNew
Currency Risk Hedging for a German Exporter
You are a junior treasury analyst. Analyze the company's transaction exposure by reviewing historical exchange rate data and forecasted cash flows. Recommend a hedging strategy …
- Exchange Rate Analysis
- Financial Hedging
- Risk Management
International Economics
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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