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
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 Or Tensorflow
Multi-Agent Systems - ResearchBeginnerNew
Run a Human-Preference Study Comparing Two Coding Assistants
Design a blinded paired-comparison study: 12 developer participants, each gets the same 8 realistic coding tasks (refactor, write a function, debug, test), each task is solved b…
- Experimental Design
- Statistical Evaluation
- Human Evaluation
AI Measurement and Evaluation - CodeBeginnerNew
Optimize Wind-Turbine Layout with a Genetic Algorithm
You receive a wind-speed-and-direction time series for the lease area, the polygon boundary, a minimum inter-turbine spacing constraint, and a Jensen wake model. Implement a rea…
- Genetic Algorithms
- Metaheuristics
- Constraint Handling
Evolutionary Computation and Metaheuristic Search - 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 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
- 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
Supply Chain Management - AnalysisIntermediateNew
Predict Customer Churn for a Telecom Company
You are a business analyst at ConnectTel. Using the provided dataset, conduct exploratory data analysis to understand churn patterns. Then, build a logistic regression model to …
- Logistic Regression
- Classification Metrics
- Feature Selection
Statistics for Business - AnalysisBeginnerNew
Cache Configuration Study for a Memory-Bound Workload
Profile the existing inner loop on a workstation with perf to baseline L1/L2/L3 miss rates and miss latencies. Run the same loop through gem5's classic cache model under 6 confi…
- Caches
- Memory Subsystems
- Performance Modeling
Computer Architecture - ResearchSeniorNew
Plan a Parameter-Efficient Fine-Tuning Strategy for a Big-Tech AI Lab
You will produce (1) a 6-page survey of four PEFT methods (LoRA, adapters, prefix tuning, IA3) with their strengths, weaknesses, and parameter footprints, (2) a one-page decisio…
- Parameter Efficient Fine Tuning
- Transfer Learning
- Fine Tuning
Meta-Learning, Transfer Learning, and Multi-Task Learning - 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.
- 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 Basics
Data Mining and Knowledge Discovery - AnalysisIntermediateNew
Empirical Study of PR Review Throughput on a Mid-Sized Monorepo
Pull 8 weeks of PR data from the monorepo (~3,800 PRs across 12 teams) covering open-to-merge time, review-comment count, review-round count, reviewer count, lines changed, and …
- Empirical Software Engineering
- Software Analytics
- Statistical Analysis
Advanced Software Engineering - DesignBeginnerNew
Optimizing Inventory for a São Paulo D2C Cosmetics Brand
You are given a CSV file with raw sales, inventory, and supplier data. Your task is to design an E/R diagram, create the normalized relational schema in 3NF, populate it with sa…
- SQL
- Database Design
- Normalization
Database Systems - 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
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
- StrategyIntermediateNew
AI Strategy for 40-Person SaaS Moving to Enterprise
Analyze the provided dataset of 200 enterprise trials (features: number of users invited, integrations used, support tickets, time in trial, etc.) and build a lead scoring model…
- Lead Scoring
- Logistic Regression
- Ai Workforce Strategy
Machine Learning and AI for Business - 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 Or Javascript
- Data Cleaning
- Data Analysis
Programming for Business Applications - ResearchSeniorNew
Open-Vocabulary Segmentation Benchmark for a Robotics R&D Lab
Use a curated 200-image household scene set (publicly-available HM3D renderings or COCO + a handful of household prompts). Benchmark 3 open-vocabulary segmentation models: SAM +…
- Open Vocabulary Segmentation
- Vision Language Models
- Benchmarking
Computer Vision - 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 Basics
Econometrics - 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 & Elasticity
- Market Analysis
Industrial Economics and Game Theory - ResearchIntermediateNew
Lab Project: Compare Three Architectures on Your Own Mini-Benchmark
Scope the problem yourself (suggested examples: sentiment classification on a niche domain, tabular anomaly detection, time-series forecasting on a public dataset). Define the t…
- Experimental Design
- A/B Testing With Statistical Significance
- Pytorch Or Tensorflow
AI/ML Practicum and Hands-on Lab - AnalysisFoundationalNew
Sales Force Restructuring for Regional Retail Chain
Your task is to produce a sales force restructuring plan for GreenMart. Deliverables include: (1) an analysis of current sales force performance (using provided sales data), (2)…
- Sales Force Analysis
- Incentive Design
- Training Program Design
Sales Management - ResearchSeniorNew
Long-Context QA Evaluation Benchmark for Legal Memoranda
You receive 25 anonymized legal memoranda (50-90 pages each) and 100 QA pairs whose answers are deliberately spread across the documents (25 in pages 1-20, 25 in pages 20-40, 25…
- Long Context Qa
- Benchmark Design
- Model Evaluation
Question Answering and Conversational Systems - ResearchIntermediateNew
Run a Perceptual Study on Color Scales for a Climate Risk Map
Design a remote study (Prolific or similar, 60 participants screened for normal color vision via Ishihara plates online) with 3 task types: (1) value estimation, (2) anomaly det…
- Perceptual Study
- Color Scales
- Experimental Design
Information and Data Visualization - CodeSeniorNew
Auto-Tune a Distributed Training Cluster's Throughput
Pick a representative fine-tune job (an open 7B model on a public instruction dataset is fine). Define the search space: NCCL_ALGO, NCCL_PROTO, num_workers, prefetch_factor, gra…
- Distributed Training
- Hyperparameter Tuning
- Nccl
Machine Learning Systems - ResearchSeniorNew
Benchmark Long-Context Architectures on a Legal-Doc Retrieval Task
You receive a public legal-QA dataset (e.g., LongBench's legal split or similar) filtered to documents over 50,000 tokens. Implement or wrap 3 architectures: a sliding-window Tr…
- Long Context Architectures
- State Space Models
- Hugging Face Transformers
Advanced Deep Learning - AnalysisBeginnerNew
Run an A/B Test on Two System Prompts for a Sales Email Assistant
You will (1) design the A/B test (random assignment by rep_id, 50/50 split, 2-week duration), (2) instrument three primary metrics: reply rate (event-based), average tokens per …
- Prompt Evaluation
- A/B Testing
- Metric Design
LLM Application Development
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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