Business
Economics & Policy Analysis Challenges
Economics & Policy Analysis challenges put you inside the work of explaining how markets and policies move people. You'll develop skills in Supply & Demand, reading Economic Data, finding Economic Data Sources, and applying Game Theory to strategic situations.
From there you'll handle the harder edges — Causal inference, Policy impact evaluation, Behavioral economics, and Geopolitical risk modeling — working with Linear Regression, Hypothesis Testing, and Structural econometric modeling the way analysts actually do. Each challenge you solve earns a verified credential you can share with recruiters.
- 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 - AnalysisBeginnerNew
Rule on TaskFlow's Enterprise Landing Page A/B Test
Working only from the test results dataset and the test-setup brief in the provided materials, determine whether the redesigned page genuinely improves the demo-booking conversi…
- Hypothesis Testing
- A B Testing
- Chi Square Test
Open coursework - CodeSeniorNew
Offline RL for Robot-Arm Skill Reuse
You receive 5,000 logged trajectories (state, action, reward, next-state) across 12 tasks, with 9 tasks for training and 3 held out. Train an offline RL algorithm (CQL or IQL re…
- Offline Rl
- Conservative Q Learning
- Skill Reuse
Robot Learning - DesignSeniorNew
Design a Fair-Pricing Auction for a Renewable Energy Certificate Marketplace
Using the GreenCert market context brief and the European certificate-system reference for the regulatory and product backdrop, design an auction that clears trades in this cert…
- Auction Theory
- Mechanism Design
- Market Design
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
- ResearchIntermediateNew
Testing Market Efficiency in European Tech IPOs
Your task is to collect daily stock prices for 30 European tech IPOs from the first 60 trading days post-listing. Compute cumulative abnormal returns (CAR) using a market model …
- Event Study
- Abnormal Returns
- Market Model
Open coursework - ResearchIntermediateNew
Train a Reinforcement-Learning Locomotion Policy for a Quadruped
You receive a configured Isaac Lab environment for the quadruped, a baseline PPO trainer, and a set of 8 trip-hazard / slip stress scenarios. Train the policy for a budget of ab…
- Reinforcement Learning
- Locomotion
- Domain Randomization
Open coursework - CodeBeginnerNew
Tabular Q-Learning for Warehouse Slotting
You receive a Python discrete-event simulator with state encoded as a 12-dimensional categorical vector (around 8,000 reachable states) and 6 possible slotting actions, plus 2 y…
- Tabular Rl
- Q Learning
- Epsilon Greedy
Open coursework - CodeIntermediateNew
Actor-Critic for Energy-Storage Dispatch
You receive 3 years of hourly day-ahead price data and a Python simulator that models state of charge, round-trip efficiency, and a 1-day price forecast with documented uncertai…
- Actor Critic
- A2c
- Deep Rl
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.
- 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 - AnalysisIntermediateNew
Social Preferences in a 40-Person SaaS Scale-Up
You are an internal behavioral economist at TaskFlow. Analyze the current compensation structure (50% base, 50% individual commission) and its behavioral pitfalls. Propose a new…
- Incentive Design
- Game Theory
- Social Preferences
Open coursework - 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 - 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 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
- CodeSeniorNew
Train a Reinforcement-Learning Policy for Drone Obstacle Avoidance
You receive a custom Gymnasium drone-flight environment (provided), a baseline hand-engineered controller, and a target evaluation suite covering 4 obstacle densities. Train a P…
- Reinforcement Learning
- Ppo
- Robotics Simulation
Open coursework - StrategyBeginnerNew
Plan TaskFlow's Enterprise Entry Against Established Rivals
Working from the TaskFlow company dossier, the enterprise win/loss deal records, and the competitor intelligence pack provided to you, build a strategy for entering the enterpri…
- Competitor Analysis
- Game Theory
- Go To Market Strategy
Open coursework - CodeBeginnerNew
Behavior Cloning for a Pick-and-Place Manipulator
You receive 200 human teleoperated demonstrations (state + action trajectories) of picking 8 small electronic components from a tray and placing them at marked locations in a ro…
- Behavior Cloning
- Imitation Learning
- Manipulation
Open coursework - StrategyIntermediateNew
Prospect Theory in Pricing for a 40-Person SaaS Scale-Up
You are a pricing strategist at TaskFlow. Your task is to analyze how existing PLG customers (who pay a flat fee) would perceive a move to tiered pricing. Using prospect theory,…
- Prospect Theory
- Loss Aversion
- Framing Effects
Behavioural Finance - CodeIntermediateNew
Run a Monte Carlo Tree Search Strategy for a Robotics Pick-and-Place Task
You receive a simulator of the pick-and-place task: a bin with 10 randomly-placed parts, an action space of which part to pick next, and a reward = parts picked per minute with …
- Monte Carlo Tree Search
- Planning
- Simulation
Open coursework - 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 - ResearchIntermediateNew
Reward Shaping for a Quadruped Locomotion Policy
You receive a quadruped locomotion environment (Isaac Lab or pybullet-quadruped), the previous reward function (5 terms), and a budget of 6 training runs. Design 4 reward varian…
- Reward Shaping
- Ppo
- Locomotion
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 - AnalysisFoundationalNew
Set Revenue-Maximizing Prices for Glow Naturals Skincare
Using only the Glow Naturals daily sales record (provided_materials: glow-sales-history) and the executive's framing note (provided_materials: ceo-pricing-brief), prepare and an…
- Linear Regression
- Hypothesis Testing
- Data Cleaning
Open coursework - ResearchIntermediateNew
Sim-to-Real Domain Randomization for a Mobile Robot
You receive an Isaac Sim navigation environment, a baseline trained policy, a 50-episode real-bench test set (recorded sensor streams + ground truth) for offline policy evaluati…
- Domain Randomization
- Sim To Real
- Robot Navigation
Open coursework - ResearchIntermediateNew
Design an Empirical Study of Pull Request Review Throughput
Using the provided pull request dataset and the stakeholder brief, design and run an empirical software-engineering study on review throughput. State three falsifiable hypothese…
- Empirical Software Engineering
- Software Analytics
- Statistical Analysis
Open coursework - StrategyIntermediateNew
Behavioral Strategy Audit for a SaaS Scale-Up's Enterprise Pivot
Working only from the four materials provided — the simulated leadership interview transcripts, the pricing decision log, the sales pipeline review notes, and the customer renew…
- Behavioral Economics
- Decision Making
- Cognitive Bias
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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