Free Data Science Projects

The best way to learn how to complete data projects is by building data projects. Dataquest learners spend their time working through real-world data challenges that teach learners to combine multiple skills and tools to solve a problem or accomplish a task.

  • It builds confidence and experience.
  • It trains learners for professional data work.
  • It helps learners build a portfolio of projects.
[Free] Data Science Projects

Try a free project!

Free

Deploy a Containerized AI Service

AI Intermediate 9 steps
Free

A Beginner-Friendly Tutorial

Git Beginner 4 steps
Free

Build a Multi-Provider LLM Gateway

AI Intermediate 11 steps
Free

Setting Up Your Data Engineering Lab with Docker

Docker Beginner 5 steps
Free

Getting Started with Claude Code for Data Scientists

AI Beginner 12 steps
Free

Predicting Developer Salaries

Practice cleaning real-world survey data, engineering features from multi-select fields, and building a linear regression model to predict developer salaries.

Python Intermediate 5 steps
Free

Predicting Listing Gains in the Indian IPO Market Using PyTorch

Practice building a regularized deep learning model in PyTorch to predict IPO profitability using real Indian stock market data with advanced evaluation techniques.

Python Intermediate 10 steps
Free

Investigative Statistical Analysis – Analyzing Accuracy in Data Presentation

Practice statistical analysis in Python to investigate movie rating bias and determine if Fandango inflated ratings.

Python Intermediate 8 steps
Free

Analyzing Kickstarter Projects

Practice SQL skills to analyze Kickstarter data and identify factors influencing campaign success.

SQL Beginner 8 steps
Free

Exploring eBay Car Sales Data

Practice data cleaning and exploration using pandas to analyze a dataset of used cars from eBay Kleinanzeigen.

Python Beginner 9 steps

Used by serious data learners at
organizations around the world.

Optum
Amazon
NIH
NBA
Deloitte
Accenture

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for learners who complete a path

Liana Ahrens Teixeira

Financial Planner & Business Owner

“The content is good, because of the application via Guided Projects.” This hands-on approach facilitated a deeper understanding and retention of the material, making it “easier to remember.”

Torsten Scholl

Senior Partner Manager

“I was a bit nervous when I began self-learning Data Science with Python. But when I started with Dataquest, my excitement grew. It was a good experience. It’s easy to get started, and seeing your progress immediately is great.”

Alejandro Giraldo Riveros

Data Analyst & Environmental Engineer

“It was tough at first, but once I got the hang of it, everything went smoothly. The projects were really helpful because they provided a way to see how all the things I learned work.”

Join 1M+ data learners on
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2

Choose a learning path

3

Complete exercises and projects

4

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