16+ data science project for technical person
You may have encountered discussions, including some articles I’ve contributed to, emphasizing the importance of data science projects in honing comprehensive technical skills.
Undoubtedly, these projects are pivotal. However, equally crucial is the acquisition of high-quality datasets for such endeavors. While collecting data is just a single phase in the lifecycle of a data science project, it holds the power to either elevate or hinder its success.
The question is, where can one locate this data? Fortunately, there are numerous websites that provide a wealth of information for various purposes.
1. Kaggle
Have you come across Kaggle? It’s likely the most renowned platform in the data science community. Kaggle hosts an extensive range of datasets, available in various formats such as CSV, JSON, SQLite, and BigQuery.
These datasets cover a wide array of industries and topics, including health, automotive, arts & entertainment, biology, social science, investing, social networks, sports, and more.
Additionally, you can narrow down your search based on technical aspects, like computer science, classification, computer vision, NLP, or data visualization.
With a current count of 274,855 datasets, Kaggle ensures that you’ll have no shortage of data to work with.
The platform’s user-friendly interface and active community forums make it an excellent resource suitable for both beginners and professionals alike.
2. UCI Machine Learning Repository
For machine learning enthusiasts, the ideal destination is the UCI Machine Learning Repository. True to its name, this repository is curated by the University of California, Irvine (UCI), offering an extensive collection of datasets specifically designed for machine learning purposes.
With a diverse array of topics covered, these datasets prove particularly valuable for individuals seeking to enhance and apply their machine-learning skills. The repository currently boasts 653 datasets, allowing users to explore them based on data type, subject area, task, number of features and instances, as well as feature type.
3. StrataScratch
StrataScratch offers 49 datasets and projects sourced directly from real companies. This proves especially advantageous for individuals gearing up for data science interviews, as it aids in honing technical skills and the capability to extract business insights from data.
Such an approach fosters a practical and industry-relevant method for tackling data science projects. The project topics span a range, including data exploration, data engineering, business analysis, regression, classification, NLP, and clustering.
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4. Google Dataset Search
Google Dataset Search serves the purpose of locating datasets across the web. Even if you’re unfamiliar with it until now, using it is intuitive because it mirrors the format and functionality of a typical Google search.
This tool is particularly valuable when seeking data from diverse sources, including academic papers and government databases.
5. Amazon Web Services (AWS) Public Datasets
Amazon’s AWS Public Datasets program serves as another platform where extensive open data can be discovered. Boasting 494 datasets at present, it stands as a valuable resource for data scientists.
The datasets found on this platform can seamlessly integrate with AWS cloud services, proving beneficial for projects that demand additional computing resources. The array of available data covers diverse fields such as genomics, meteorology, and astronomy, among others.
6. Data.gov
Data.gov serves as a data repository sponsored by the US government, housing data from a variety of US organizations. The repository encompasses 283,935 datasets sourced from 132 US entities, covering diverse fields like agriculture, public health, finance, education, demographics, economics, and environmental data.
The datasets are available in nearly 50 different formats, with popular options including HTML, XML, ZIP, CSV, PDF, ArcGIS GeoServices REST API, KML, GeoJSON, JSON, and TEXT.
7. FiveThirtyEight
The data and code repository for articles and graphics by ABC News’s FiveThirtyEight is an ideal resource for data journalists and individuals keen on statistical storytelling.
Whether you’re working on projects related to current events, politics, sports, or other topics, this serves as your go-to source. It provides access to over 160 datasets spanning from 2014 to the present day.
8. The World Bank Open Data
The World Bank Open Data provides comprehensive datasets covering global development data. These datasets encompass indicators related to the economy, environment, and social issues across countries worldwide.
If you have an interest in global development and socio-economic topics, you can discover a wealth of compelling data on this platform.
9. GitHub
GitHub serves not just as a platform for code sharing but also as a valuable resource for discovering datasets suitable for data projects. Many organizations and individual users host diverse datasets on GitHub repositories, often accompanied by thorough documentation and analysis code.
10. OpenML
OpenML serves as an online platform dedicated to machine learning, granting users access to a vast array of data, totaling nearly 5,400 datasets. The platform is tailored for sharing, organizing, and engaging in discussions about both data and the outcomes of machine learning experiments.
Additionally, OpenML offers seamless integration with popular machine learning environments, providing an added advantage for those immersed in data science learning.
11. Reddit Datasets
The Datasets subreddit serves as a community-driven hub for data enthusiasts. Within the realm of Reddit, individuals share a wide array of data, including both contributions and requests for datasets tailored to various data projects.
The challenge lies not in the scarcity of data but rather in the abundance thereof. The subreddit teems with a diverse range of datasets, spanning from highly specific and unconventional to more conventional ones. Given its forum nature, users can actively engage in discussions, seeking assistance or contributing to the exchange of datasets.
12. Eurostat
Eurostat serves as the statistical office of the European Union, offering a comprehensive repository of data. If your interest lies in obtaining high-quality statistical information regarding EU member countries, Eurostat should be your primary data source. The data covers various topics, including the economy, population, health, and trade of EU countries.
13. The Humanitarian Data Exchange (HDX)
HDX serves as an open platform dedicated to humanitarian data and is overseen by the United Nations Office for the Coordination of Humanitarian Affairs. This resource offers data related to humanitarian crises and emergencies across every country globally.
It proves valuable for individuals engaged in projects addressing global issues, disaster response, and human welfare. The platform currently hosts 20,344 active datasets and 2,570 archived datasets, each presenting diverse features and formats.
14. The Centers for Disease Control and Prevention (CDC)
Within the CDC (Centers for Disease Control and Prevention), you can access health-related data. The datasets cover a range of health conditions, risk factors, and public health aspects. If your interests align with these topics, you’ll discover a plethora of valuable data on this platform.
15. The Bureau of Labor Statistics (BLS)
The BLS website offers extensive data on various aspects of US economic conditions, the labor market, price changes, quality of life, and more. If you’re interested in these topics, you’ll discover numerous high-quality datasets on the site.
16. The National Aeronautics and Space Administration (NASA)
The final data source I’d like to highlight is NASA, offering an abundance of data across aerospace, applied science, apps, Earth science, management/operations, raw data, software, and space science. With over 10,000 datasets available, be sure not to get lost in its vast universe of information!
Conclusion
These 16 websites are sure to furnish you with an abundance of data, meeting my goal of providing enough material for your endeavors indefinitely. Nonetheless, the quantity of data is not the sole consideration.
I’ve selected these sites for their capacity to offer a highly diverse array of datasets, suitable for a wide range of data science projects. The details of the datasets vary across different industries. Thus, engaging with a variety of datasets also affords you the opportunity to acquire domain knowledge.
Whether you’re immersed in machine learning, data analysis, data journalism, statistical analysis, or data visualization, you can consistently rely on these resources.
