Data Sciences Challenges
Explore data science challenges on Ewance to build skills employers expect from analysts and ML engineers. Work through challenges on data cleaning, exploratory analysis, modeling, and storytelling with data.
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- StrategyBeginnerNew
Set Up Trunk-Based Development on a 3-Branch Workflow
Audit the current branch + merge data over 8 weeks (frequency, conflict count, time-to-green). Pick one product team for a 4-week pilot: introduce a feature-flag system (Unleash…
- Version Control
- Trunk Based Development
- Feature Flags
Open coursework - DesignBeginnerNew
Design the Architecture for a Library Management System
Read the 30-page replacement RFP. Author a 15-page architecture document covering the C4 model levels 1-3 (context, container, component) for the new system: web app, mobile app…
- Software Architecture
- C4 Model
- Data Modeling
Open coursework - CodeBeginnerNew
Build and Ship a Bug-Tracker MVP with Full CI/CD
Week 1: write a 1-page SRS + Figma wireframes for 5 screens (login, bug list, bug detail, file bug, dashboard). Week 2-3: implement with Next.js + Supabase + Tailwind, with unit…
- Full Stack Development
- Requirements Engineering
- Ci Cd
Software Engineering Foundations - StrategyBeginnerNew
Negotiate a Technical-Debt Paydown Budget Into the Roadmap
Using the engineering debt case file, build a debt-paydown budgeting framework that fits the sprint cadence and committed work shown in the roadmap snapshot. For each of the thr…
- Technical Debt
- Stakeholder Communication
- Refactoring Budgets
Open coursework Develop in-demand professional skills.
Each challenge names the skills it strengthens. Over time, your profile fills with the competences a hiring manager would actually look for.
Why Ewance
- CodeBeginnerNew
Build a Booking Web App for a Boutique Hotel Group
Design the data model (properties, rooms, availability, bookings, guests). Build the Next.js app with the App Router: 4 public pages (search, results, room detail, checkout), 1 …
- Nextjs
- React
- REST API
Web Application Development - CodeBeginnerNew
Performance Optimization for a Slow Storefront
Run Lighthouse + WebPageTest baselines on 3 representative pages (home, product detail, cart). Set up Real User Monitoring (RUM) via Vercel Analytics or web-vitals.js. Ship 5 di…
- Web Performance
- Core Web Vitals
- Nextjs
Web Application Development - AnalysisBeginnerNew
Cellular IoT NB-IoT vs LTE-M Choice for Smart Metering
Define 6 evaluation axes: indoor / basement coverage (MCL / Maximum Coupling Loss target), battery life (15-year), data cadence (1 message every 4 hours), mobility (static), MNO…
- Nb Iot
- Lte M
- Cellular Iot
Open coursework - CodeBeginnerNew
Calibrate a Multi-Camera Rig for Warehouse Robotics
You will design and prototype a calibration workflow using a printed ChArUco board (a chessboard with embedded ArUco markers). You receive a sample dataset of 200 raw frames per…
- Camera Calibration
- Multi View Geometry
- Opencv
3D Vision and Multi-View Geometry - Browse challenges
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Pricing Strategist
Set the price that captures value without leaving sales on the table. Demand modelling, willingness-to-pay research, and the disciplined experimentation that turns pricing into a competitive advantage.
- CodeBeginnerNew
Build a Robust Image Classifier for a Climate-Tech Satellite Startup
You receive a labeled dataset of about 25,000 Sentinel-2 patches (positive = illegal construction visible, negative = not). The dataset is split by region AND by season so you c…
- Data Augmentation
- Deep Learning
- Pytorch
Advanced Deep Learning - CodeBeginnerNew
Stack Five Models for a Kaggle-Style Forecasting Bake-Off
You receive a pseudonymized dataset of 24 months of daily shipment volumes across about 200 origin-destination lanes plus weather and holiday features. Train 5 base models, use …
- Ensemble Methods
- Time Series Forecasting
- Feature Engineering
Advanced Machine Learning - AnalysisBeginnerNew
Optimize Hyperparameters with Bayesian Optimization on a Tight Budget
You receive a B2B-SaaS churn dataset (about 12,000 customer-month rows, 38 features) and a fixed sweep budget of 40 trials per model family. Implement a Bayesian optimizer (Optu…
- Bayesian Optimization
- Hyperparameter Tuning
- Ensemble Methods
Advanced Machine Learning - AnalysisBeginnerNew
Audit a Hiring-Screening Model for Demographic Bias
You receive: (a) inference API access to the production model (black-box), (b) a 12,000-resume audit benchmark with self-declared gender and age-band labels (consented, GDPR-com…
- Fairness Metrics
- Bias Auditing
- Model Evaluation
AI Ethics, Fairness, and Responsible AI Get recognized by recruiters and employers.
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Why Ewance
- DesignBeginnerNew
Draft a Model Card for a Generative Image Product
You receive the model's training-data summary, evaluation metrics, intended-use statement, and known failure modes from the ML team. Write: (a) a 3-page plain-language model car…
- Model Cards
- Transparency Documentation
- Responsible Ai
AI Ethics, Fairness, and Responsible AI - StrategyBeginnerNew
Design an Internal AI-Use Policy for a Mid-Cap Bank
You receive the bank's existing IT-acceptable-use policy and a description of which AI tools are being rolled out (an internal Anthropic Claude wrapper for general use; a code-c…
- Ai Governance
- Policy Design
- Responsible Ai
AI Ethics, Fairness, and Responsible AI - DesignBeginnerNew
Design the Onboarding for a Consumer-AI Copilot App
You receive: current funnel analytics (1M trial sign-ups over the last 90 days, current activation rate, current D1/D7/D30 retention), a competitor teardown deck, and the founde…
- Product Design
- User Onboarding
- Experimentation
Open coursework - 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 - AnalysisBeginnerNew
Analyze a Learning-Analytics Dataset for At-Risk Detection
You receive an anonymized dataset of LMS engagement features (logins, assignment submissions, forum posts, video-watch time), grade history, and a binary label for end-of-semest…
- Learning Analytics
- Classification
- Fairness Metrics
Open coursework - CodeBeginnerNew
Build a Credit-Card Fraud Detector for a Singapore Neobank
You receive 9 months of anonymized authorization data (around 8 million transactions, around 0.4 percent fraud) plus current rule outcomes. Split temporally and train at least t…
- Classification Modeling
- Class Imbalance
- Model Calibration
Open coursework - CodeBeginnerNew
Predict Catalyst Properties for a Green-Hydrogen Pharma Spinout
Use an open catalyst dataset (e.g., Open Catalyst Project subset, or a Materials Project pull) where each candidate has descriptors and a target activity property. Train a tabul…
- Tabular Modeling
- Uncertainty Quantification
- Feature Engineering
AI for Science and Engineering - CodeBeginnerNew
Implement a Constraint Solver for a Lisbon Tourism Scheduler
Model the next-week schedule as a CSP: variables are (guide, day, slot) assignments; domains are available routes; constraints encode language requirements, max consecutive tour…
- Constraint Satisfaction
- Backtracking Search
- Python
Introduction to Artificial Intelligence - CodeBeginnerNew
Reason about Drone Mission Plans with Probabilistic Logic
Build a small Bayesian network (around 12 nodes) capturing weather, no-fly-zone proximity, battery state, operator certification, and mission risk. Implement exact inference (va…
- Bayesian Networks
- Probabilistic Inference
- Knowledge Representation
Introduction to Artificial Intelligence - PresentationBeginnerNew
Evaluate Intelligent Agents in a Sustainable-Logistics Simulation
Build a small grid-world simulation where a delivery agent must complete 10 stops while respecting traffic, charging needs, and time windows. Implement three classical agent des…
- Intelligent Agents
- Simulation Design
- Python
Introduction to Artificial Intelligence - CodeBeginnerNew
Compare MDP Solvers for a Smart-Grid Battery Dispatch Pilot
Model home-battery dispatch as a finite MDP: state is (state-of-charge, hour-of-day, current price tier), actions are charge/hold/discharge with realistic efficiency losses, tra…
- Markov Decision Processes
- Value Iteration
- Policy Iteration
Artificial Intelligence: Principles and Techniques - StrategyBeginnerNew
Pitch a Regulatory Sandbox Application for an Edtech AI Product
Read the EU AI Regulation's regulatory-sandbox provisions. Pick a member-state sandbox program (Spain, Norway-as-EEA, or a German-state pilot are publicly documented options) an…
- Regulatory Analysis
- Ai Governance
- Product Strategy
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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