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.
- 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
Behavioral Economics - 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
Robot Learning - 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
Advanced Robotics - AnalysisIntermediateNew
Frame an Energy-Storage Dispatch Decision as a Bayesian Decision Problem
You receive 2 years of hourly spot-price data, 2 years of wind generation data, and a manufacturer's battery degradation model. Frame dispatch as a Bayesian decision problem: mo…
- Bayesian Decision Theory
- Price Modeling
- Back Testing
Decision Making Under Uncertainty 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
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
Robotics - 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
Investments and Asset Pricing - 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
Decision Making Under Uncertainty - AnalysisFoundationalNew
Optimize Pricing for a Sydney D2C Cosmetics Brand
You are a junior data analyst at GlowSydney. Using the provided dataset of 500 transactions (including price, units sold, customer age, and gender), perform descriptive statisti…
- Descriptive Statistics
- Linear Regression
- Data Visualization
Statistics for Business - Browse challenges
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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.
- AnalysisBeginnerNew
Pricing Strategy for a Copenhagen D2C Cosmetics Startup
Your task is to design a pricing strategy for GlowCopenhagen's vitamin C serum. You have access to a dataset of competitor prices, customer purchase history, and a survey on wil…
- Game Theory
- Pricing Strategy
- Market Analysis
Industrial Economics and Game Theory - 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 - ResearchSeniorNew
Diffusion-Policy Imitation for Bimanual Cooking Tasks
You receive 300 teleoperated demonstrations of a bimanual pour-and-stir task in a Robomimic-style simulator, deliberately including 2 valid solution modes per task (left-pour-ri…
- Diffusion Policies
- Imitation Learning
- Multimodal Action Distributions
Robot Learning - 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
Robot Learning 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
- AnalysisIntermediateNew
Causal Impact of Ad Campaign for Sustainable Fashion Brand
You are given weekly sales data for EcoWear and a competitor (control) for 2022-2023. The campaign started in week 10 of 2023. Your task is to implement a DiD model, test the pa…
- Difference In Differences
- Causal Inference
- Time Series
Econometrics - 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
International Finance - AnalysisFoundationalNew
Pricing Optimization for Seoul D2C Cosmetics
You are given a CSV with daily sales, price, ad spend, and competitor price for 3 products. Your task is to clean the data, run multiple linear regression to estimate demand ela…
- Linear Regression
- Hypothesis Testing
- Data Cleaning
Econometrics - 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 - 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
Reinforcement Learning - AnalysisBeginnerNew
A/B Test Landing Page for a 40-Person SaaS Scale-Up
You are a marketing analyst at TaskFlow. You have a dataset of 10,000 visitors with columns: group (control/variant), converted (yes/no), time on page (seconds), and device type…
- Hypothesis Testing
- A B Testing
- Chi Square Test
Statistics for Business - DesignSeniorNew
Auction Design for a Renewable Energy Certificate Marketplace
Your task is to propose an auction design for GreenCert's REC marketplace. You must compare at least two auction formats (e.g., uniform-price, discriminatory, Vickrey) and recom…
- Auction Theory
- Mechanism Design
- Market Design
Pricing and Revenue Management - StrategyIntermediateNew
Market Entry Strategy for a SaaS Scale-Up in Southeast Asia
You are a strategy consultant for TaskFlow. Analyze the competitive landscape in Indonesia and Vietnam, focusing on pricing, product differentiation, and potential reactions fro…
- Game Theory
- Market Entry
- Competitive Analysis
Microeconomics - StrategyIntermediateNew
Market Entry Strategy for a 40-Person SaaS Scale-up
Your team must develop a market entry strategy for TaskFlow into German manufacturing. Constraints: budget of €500k for first year; must achieve 10 enterprise clients within 12 …
- Market Entry
- Competitive Strategy
- Game Theory
Managerial Economics - 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
Decision Making Under Uncertainty - 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
Robot Learning - AnalysisIntermediateNew
Behavioral Strategy Audit for a SaaS Scale-Up
You are a behavioral strategy analyst. Review DataSync's recent pricing decisions, sales pipeline reviews, and customer renewal data. Conduct interviews (simulated via provided …
- Behavioral Economics
- Decision Making
- Cognitive Bias
Strategic Foresight and Decision-Making
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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