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](https://www.dataquest.io/wp-content/uploads/2024/05/The-Familiarity-Principle-exercise.gif "[Free] Data Science Projects")
Try a free project!
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.
Investigative Statistical Analysis – Analyzing Accuracy in Data Presentation
Practice statistical analysis in Python to investigate movie rating bias and determine if Fandango inflated ratings.
Analyzing Kickstarter Projects
Practice SQL skills to analyze Kickstarter data and identify factors influencing campaign success.
Investigative Statistical Analysis – Analyzing Accuracy in Data Presentation
Practice using R to analyze movie ratings data, compare 2015 vs 2016 ratings, and apply sampling and distributions to investigate bias.
Exploring Hacker News Posts
Practice using Python loops, string cleaning, and date handling to uncover real-world data insights.
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.
Predicting Condominium Sale Prices
Practice using linear regression in R to predict condominium sale prices based on size and location in New York City.
Learn and Install Jupyter Notebook
Practice using Jupyter Notebook to run code, add text, and install locally for real-world data projects.
Prison Break
Practice using JupyterLab to analyze real-world data on helicopter prison escapes.
Analyzing Wikipedia Pages
Practice using MapReduce in Python to efficiently analyze a large Wikipedia dataset and build in-demand data skills.
Used by serious data learners at
organizations around the world.
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