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
- 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 - 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 - StrategyFoundationalNew
Plan GlowLisboa's Competitive Response to a Price War
Working from the company snapshot and the competitor and market readout provided to you, build a structured competitive assessment of GlowLisboa and recommend one strategic move…
- Industry Analysis
- Competitor Profiling
- Strategic Thinking
Open coursework - AnalysisBeginnerNew
Optimizing Ad Spend for a D2C Cosmetics Brand
You are a data analyst at Glow & Grow. Using the provided dataset (simulated), perform an exploratory data analysis to understand trends in ad performance. Build a regression mo…
- Data Analysis
- Regression
- Data Visualization
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
- 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 - AnalysisFoundationalNew
Pricing Strategy for a Sustainable Fashion Brand
You are a pricing analyst at EcoWear. Using the survey data (simulated with 500 responses) and competitor prices, perform a conjoint analysis or price elasticity analysis. Deter…
- Data Analysis
- Statistics
- Data Visualization
Open coursework - 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 - ResearchSeniorNew
Model-Based RL for a Robotic Arm Pick-Place Task
You receive a PyBullet pick-and-place environment (Franka Panda arm, 12 object types, randomized starting poses) and a SAC baseline that hits 85% success after about 1.5 million…
- Model Based Rl
- World Models
- Reinforcement Learning
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.
- 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 - 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 - 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) - 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 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
Use Actor-Critic to Auto-Tune a HVAC Control Policy
You receive a Sinergym wrapper around the EnergyPlus model of one floor with 8 thermal zones, weather data for one year, and occupancy schedules. Train a Soft Actor-Critic (SAC,…
- Actor Critic
- Soft Actor Critic
- Continuous Control
Deep Reinforcement Learning - 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
Design a Causal Measurement Plan for EcoWear's Ad Campaign
Using only the EcoWear weekly sales dataset and the campaign brief listed in the provided materials, design a measurement proposal that estimates the causal effect of the spring…
- Difference In Differences
- Causal Inference
- Time Series
Open coursework - 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
Open coursework - ResearchIntermediateNew
Planning Under Uncertainty for a Last-Mile Delivery Fleet
Build a simulator of the 50-block area with stochastic travel times conditioned on weather and time-of-day. Implement value iteration (for a small state space), MCTS (Monte Carl…
- Planning Under Uncertainty
- Markov Decision Processes
- Monte Carlo Tree Search
Open coursework - 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 an Inclusive Engineering Hiring Plan for a Boston SaaS Scale-Up
Using the twelve-month applicant funnel dataset and the current-process case file provided, audit where DataFlow's engineering pipeline loses underrepresented candidates and why…
- Diversity And Inclusion Strategy
- Recruitment Audit
- Bias Mitigation
Open coursework - DesignIntermediateNew
Design a Churn Prediction and Retention Proposal for ConnectTel
Using the ConnectTel customer sample (the provided dataset) and the ConnectTel retention context brief, design a proposal for predicting which customers are most likely to leave…
- Logistic Regression
- Classification Metrics
- Feature Selection
Open coursework - StrategyBeginnerNew
Rescue QuickBite's Slipping Users with Mobile Marketing
Your analysis task is to build a mobile marketing retention plan for QuickBite using only the three materials you are given: the case file documenting the company's retention si…
- Mobile Marketing
- User Segmentation
- Push Notifications
Open coursework - AnalysisFoundationalNew
Controlling Inventory for a Sustainable Fashion Brand
Your task is to develop an inventory control system for EcoThreads. You must analyze historical sales data (provided in a CSV), identify patterns, propose KPIs (e.g., turnover r…
- Inventory Management
- Data Analysis
- KPI Definition
Principles of Management - 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) - ResearchFoundationalNew
Optimizing Survey Design for a São Paulo D2C Cosmetics Brand
Your task is to design a complete survey research plan for Glow SP. Define the target population, sampling frame, and sample size. Create a 15-question survey (mix of closed and…
- Survey Design
- Sampling
- Questionnaire Construction
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.
Industry teams behind a decade of practitioner briefs
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Sponsor a challenge and meet candidates through actual work.
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