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50 Real-World Data Science Project Ideas With Datasets & Starter Code

A curated collection of portfolio-worthy projects organized by difficulty and domain — healthcare, finance, NLP, and computer vision. Every project includes a free dataset and a link to starter code so you can build, learn, and showcase your skills.

📂 50 projects 📊 50+ free datasets 💻 50 starter code repos Updated March 2025

📌 Jump to a domain

Finding the right data science project ideas with datasets is often the hardest part of building a portfolio. You need something that's not too trivial, not too overwhelming, and backed by real data you can actually access. That's exactly why we built this guide.

Each project below is rated Beginner, Intermediate, or Advanced so you can pick the right challenge for your current skill level. We've linked every project to a freely available dataset and a GitHub repository with starter code (Python, Jupyter notebooks, or R) to get you moving fast.

Whether you're preparing for a data science job interview, building your first portfolio, or looking for a fun weekend challenge — these data science project ideas with datasets will keep you learning and shipping.

💡 Pro tip: Don't just copy the starter code. Fork the repo, experiment with different models, tune hyperparameters, and add your own visualizations. That's what turns a project into a portfolio piece.

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Healthcare & Biomedical Projects

● Beginner ● Intermediate ● Advanced
#1 Beginner

Heart Disease Prediction

Build a classifier to predict coronary artery disease using clinical measurements. Great for learning logistic regression, decision trees, and ROC curves.
#2 Beginner

Breast Cancer Classification

Classify tumors as malignant or benign using the Wisconsin dataset. Perfect for practicing SVM, k-NN, and feature importance.
#3 Beginner

Diabetes Progression Prediction

Use the PIMA Indians dataset to predict diabetes onset. Explore logistic regression, random forests, and class imbalance handling.
#4 Beginner

Medical Insurance Cost Prediction

Predict individual medical costs billed by health insurance. Great for linear regression, feature engineering, and interpreting coefficients.
#5 Intermediate

COVID-19 Trend Analysis & Forecasting

Analyze global COVID-19 case trends and build time-series forecasts using Prophet or ARIMA. Practice data wrangling with real public health data.
#6 <