Finding Public Datasets That Elevate Your Job Portfolio
Saeed
By Saeed Mirshekari

August 29, 2023

Dear data science enthusiasts,

In today's data-driven world, showcasing exceptional data science projects in your job portfolio is vital to stand out in the competitive job market. The key to creating impactful projects lies in using real-world datasets. These datasets not only demonstrate your technical prowess but also reflect your ability to solve real-world problems with data-driven solutions.

In this blog post, we'll explore 21 reputable sources where you can find free, high-quality datasets to fuel your data science projects. By leveraging these resources, you'll have the tools to craft end-to-end data science projects that will impress employers and elevate your job portfolio to new heights.

1. Kaggle

Kaggle stands as a leading platform for data science enthusiasts worldwide. It offers an extensive repository of datasets covering diverse domains, such as machine learning, natural language processing, and computer vision. Additionally, Kaggle's community and data science competitions provide valuable learning and networking opportunities.

Explore Kaggle: Kaggle

2. UCI Machine Learning Repository

The UCI Machine Learning Repository is a renowned source for datasets curated explicitly for machine learning projects. It offers a wide array of datasets, including those for regression, classification, and clustering tasks. Engaging with UCI's datasets will sharpen your data preprocessing and modeling skills.

Access UCI's datasets: UCI Machine Learning Repository

3. Data.gov

For those interested in governmental datasets, Data.gov serves as an invaluable resource. It provides a wealth of open data from various U.S. federal agencies. Datasets on diverse subjects, such as health, education, and transportation, offer opportunities to work on projects with real societal impact.

Discover Data.gov: Data.gov

4. World Bank Open Data

The World Bank Open Data initiative offers access to an extensive collection of global development data. These datasets encompass economic, social, and environmental indicators for various countries and regions. Analyzing World Bank data can lead to insights on international development trends and global economies.

Explore World Bank Open Data: World Bank Open Data

5. Google Dataset Search

Google Dataset Search serves as a powerful search engine designed to help researchers locate datasets from various online repositories. By using specific keywords related to your data science project, you can quickly discover relevant datasets from multiple sources.

Start searching: Google Dataset Search

6. Dataquest

Dataquest offers not only an excellent platform for learning data science but also a curated list of free datasets for projects. Their blog features articles that provide insightful information on data science topics, making it a valuable resource for data enthusiasts.

Learn more at Dataquest: Dataquest

7. Reddit Datasets

The "r/datasets" subreddit on Reddit hosts a vibrant community of data enthusiasts who share and discuss various datasets. It's an excellent place to find unique and niche datasets that might not be available elsewhere.

Join the community: Reddit Datasets

8. GitHub

GitHub, known primarily as a version control platform, is also a treasure trove of code repositories that often include datasets shared by the open-source community. By exploring GitHub repositories, you can find interesting datasets that align with your data science interests.

Discover GitHub datasets: GitHub

9. Data.world

Data.world is a collaborative platform that allows users to share, analyze, and visualize datasets. This platform fosters a sense of community, making it an excellent place to engage with like-minded data enthusiasts and explore unique datasets.

Join the collaboration: Data.world

10. FiveThirtyEight

FiveThirtyEight is a reputable platform that offers a collection of datasets used for data-driven journalism and analysis. These datasets cover a wide range of topics, including politics, sports, and social issues.

Get data-driven: FiveThirtyEight

11. Open Data Portals from Various Cities and Governments

Many cities and governments worldwide maintain open data portals that provide access to datasets related to local issues and public services. These datasets offer opportunities to work on projects that directly impact communities.

Discover your city's data: Just Google your city name + "open data portal"!

12. Amazon Web Services (AWS) Public Datasets

Amazon Web Services (AWS) hosts a collection of public datasets that users can access and analyze on the cloud platform. Leveraging AWS datasets allows you to work with large-scale data and develop cloud-based data science skills.

Explore AWS Public Datasets: AWS Public Datasets

13. Quandl

Quandl specializes in financial, economic, and alternative datasets. These datasets are ideal for data scientists interested in finance and economics and can be used for various analytical and forecasting projects.

Access Quandl's datasets: Quandl

14. DataIsBeautiful

The "r/dataisbeautiful" subreddit on Reddit showcases visually appealing datasets and visualizations that will inspire you to create captivating data visualizations for your data science projects.

Get inspired: DataIsBeautiful

15. OpenAI Datasets

OpenAI provides datasets, including language-based datasets, for natural language processing (NLP) projects. These datasets can be instrumental in developing language models and building NLP applications.

Level up your NLP: OpenAI Datasets

16. The World Health Organization (WHO) Data

The World Health Organization (WHO) offers health-related datasets for research and analysis. Working with WHO data allows you to contribute to public health research and address global health challenges.

Explore WHO Data: WHO Data

17. The World Happiness Report

The World Happiness Report provides datasets related to happiness metrics across various countries. Analyzing these datasets can help you understand the factors influencing happiness and well-being.

Spread happiness with data: World Happiness Report

18. NOAA Climate Data Online

The National Oceanic and Atmospheric Administration (NOAA) provides access to climate-related datasets. These datasets are valuable for studying climate patterns and trends, enabling you to contribute to climate change research.

Get climate-savvy: NOAA Climate Data Online

19. Pew Research Center

Pew Research Center offers datasets related to social and demographic trends. These datasets can be used to gain insights into societal changes and conduct social research.

Uncover societal insights: Pew Research Center

20. Data.gov.uk

Data.gov.uk is the UK's equivalent of Data.gov in the U.S. It provides access to open data from various UK government departments, offering valuable datasets for data science projects with a British focus.

British data at your service: Data.gov.uk

21. Eurostat

Eurostat offers datasets related to European Union statistics, providing insights into various aspects of European societies and economies. These datasets can be valuable for research with a European perspective.

Join the EU data party: Eurostat

Conclusion

Crafting end-to-end data science projects with real-world datasets is essential for showcasing your data science skills in the job market. The 21 resources mentioned in this blog post offer excellent starting points for finding high-quality datasets that align with your interests and expertise. Whether you're passionate about finance, healthcare, or social issues, these resources provide a diverse collection of datasets to elevate your data science portfolio.

As you embark on your data science journey, remember to not only focus on technical proficiency but also on storytelling. Effectively communicating insights from data will make your projects shine even brighter in the eyes of employers.

Start exploring these resources, dive into fascinating datasets, and let your data science brilliance shine! Happy data hunting! πŸ“Šβœ¨

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About O'Fallon Labs

In O'Fallon Labs we help recent graduates and professionals to get started and thrive in their Data Science careers via 1:1 mentoring and more.


Saeed

Saeed Mirshekari

Saeed is currently a Director of Data Science in Mastercard and the Founder & Director of OFallon Labs LLC. He is a former research scholar at LIGO team (Physics Nobel Prize of 2017).


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