Top 10 Free Dataset Sources for Data Analysts (2025 Edition)

Are you looking to build real-world data projects, practice analysis techniques, or train machine learning models?
Finding the right dataset is half the battle.

In this guide, we’ve curated 10 trusted, free dataset platforms that every data analyst and aspiring data scientist should bookmark.

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1. Gigasheet Sample Data

A library of clean, ready-to-use sample datasets across various domains. Great for spreadsheet-like exploration at scale.
🔗 https://www.gigasheet.com/sample-data

2. Kaggle

Kaggle is the go-to platform for data competitions—and it offers thousands of high-quality datasets with built-in tools for exploration and visualization.
🔗 https://www.kaggle.com/

3. Tableau Public Data

This platform features datasets used in Tableau visualizations. Ideal if you want to practice data storytelling and dashboards.
🔗 https://www.tableau.com/

4. Google Dataset Search

A dataset-focused search engine to help you discover datasets from all over the web, hosted by universities, governments, and companies.
🔗 https://datasetsearch.research.google.com/

5. FiveThirtyEight

Perfect for practicing real-world storytelling with data. FiveThirtyEight publishes all datasets used in their journalism.
🔗 https://projects.fivethirtyeight.com/

6. Quandl (Nasdaq Data Link)

Financial, economic, and alternative data for free and premium use. A favorite for finance, stock, and economic modeling.
🔗 https://data.nasdaq.com/publishers/QDL

7. Data.gov

The official U.S. government open data portal, offering access to public datasets from over 300 agencies.
🔗 http://data.gov/

8. Harvard Dataverse

A rich repository of academic and research datasets maintained by Harvard. Trusted by scholars and students.
🔗 https://dataverse.harvard.edu/

9. WHO Global Health Observatory (GHO)

Authoritative global health data for research and decision-making.
🔗 https://apps.who.int/gho/data/?theme=main

10. Stanford Large Network Dataset Collection (SNAP)

Massive graph-based datasets used in network analysis, machine learning, and research.
🔗 http://snap.stanford.edu/

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Learn How to Use These Datasets Effectively

Looking to master the skills to analyze these datasets?
Explore free programming and data science courses from our trusted partners:

Python & Data Analysis

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Data Science & Visualization

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AI & Machine Learning

• Generative AI with LLMs →
• Prompt Engineering for ChatGPT →

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