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

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Free

Sharing Your Project with GitHub Gists

Git Beginner 4 steps
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Free

Build a Multi-Provider LLM Gateway

AI Intermediate 11 steps
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Free

Setting Up Your Data Engineering Lab with Docker

Docker Beginner 5 steps
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Free

Getting Started with Claude Code for Data Scientists

AI Beginner 12 steps
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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
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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
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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
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Free

Analyzing Kickstarter Projects

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

SQL Beginner 8 steps
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Free

Exploring Hacker News Posts

Practice using Python loops, string cleaning, and date handling to uncover real-world data insights.

Python Beginner 8 steps
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Free

Profitable App Profiles for the App Store and Google Play Markets

Practice using Python and data analysis on real mobile app market data to develop profitable app ideas.

Python Beginner 14 steps
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Used by serious data learners at
organizations around the world.

Optum
Amazon
NIH
NBA
Deloitte
Accenture

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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.”

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