Every data science newbie faces some challenges in finding datasets and ideas that they can build a good data science project on. So how do you come up with ideas for mining a new data science project? The answer is to find a unique set of data and define a unique problem. So in this article, I will walk you through what are the best data sources to get data for data science projects and case studies.
Best Data Sources for Data Science Projects
As part of open government initiatives, the government of so many countries has started releasing collected data sets by the government. Many of the data sources mentioned below will help you create a data science project in which you will analyze the growth of a country in any terms.
Also, Read – 200+ Machine Learning Projects Solved and Explained.
Now let’s go through the best data sources for collecting data for Data Science projects. I will also discuss where these datasets can be used.
Data.gov
The Data.gov program was started by the President of the United States in 2009 to provide open access to unclassified government data. These data are produced by all departments including:
- Executive Branch
- White House
- Cabinet Level Departments
- and other levels of governments
The datasets uploaded here can be used for Data Science projects like:
- Economic Growth
- Environmental Changes
- Quality of Life and many more.
Like the data.gov you can also get data from other countries for the same data science project ideas on a different country, such as:
US Census Bureau Data
Like other countries, the US Census is also held in every ten years. The data collected by the US Census is available at census.gov. This dataset can be used if you want to do any marketing or advertising related data science project. You can use this data for classification related projects also, where you can classify people according to:
- Age
- Income
- Household Size
- Gender
- Education
Nasa Data
Nasa has tons of data. All the datasets available at nasa.gov has been continuously growing with the advancements of satellites and communication technologies. Now Nasa generates terabytes of data every day, which is equivalent to millions of mp3 files.
You can use datasets available at Nasa for Data Science projects such as:
- Astronomy and Space Analysis
- Climate change analysis
- Life Sciences
- Geology
World Bank Data
The world bank data is an international financial institution run by the United Nations. It is a statutory body that provides loans to developing countries. You can get the dataset made available by world bank from data.worldbank.org.
You can use the data made available by world bank for Data Science projects, such as:
- Agricultural and Rural Development analysis
- Economic Growth Analysis
- Science and Technological growth
- The poverty level of a country
Best Data Sources with Case Studies
Now Besides all the data sources that I have discussed above, there are some more data sources where you can get some case studies in the description of the dataset such as Kaggle. It is the best source of data as the data is uploaded with case studies. So you can download a dataset from there and solve the case studies and at the end of solving each case study, you will be having a complete data science project ready with you.
So these were some of the best data sources for collecting data for Data Science projects. I hope you liked this article on how to collect data for a data science project. Feel free to ask your valuable questions in the comments section below.
Nice work Aman kharwal, thank you man, it was so much helpful as a Data Science beginners.
thank you so much, keep visiting 🤝