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

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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Free

Investigating Fandango Movie Ratings

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

Predicting Condominium Sale Prices

Practice using linear regression in R to predict condominium sale prices based on size and location in New York City.

R Intermediate 8 steps
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Free

Learn and Install Jupyter Notebook

Practice using Jupyter Notebook to run code, add text, and install locally for real-world data projects.

Python Beginner 12 steps
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Free

Investigating Fandango Movie Ratings

Practice using R to analyze movie ratings data, compare 2015 vs 2016 ratings, and apply sampling and distributions to investigate bias.

R Intermediate 8 steps
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Free

Prison Break

Practice using Jupyter Notebook to analyze real-world data on helicopter prison escapes.

Python Beginner 14 steps
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Free

Analyzing Wikipedia Pages

Practice using MapReduce in Python to efficiently analyze a large Wikipedia dataset and build in-demand data skills.

Python Advanced 8 steps
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Free

NYC Schools Perceptions

Practice data cleaning, analysis, and visualization in R to explore survey data and showcase your skills with R Notebooks.

Beginner 3 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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