It is time-consuming to find good quality free data sets available on the internet and completing your first data science project might be a significant step toward becoming an information person. It’s also a nerve-wracking procedure. The first stage is to find a bundle of facts that is both relevant and interesting.

You should pick how big and messy a data collection you want to work with; while improving data is an important element of data science, you may want to start with a clean dataset for your first data science project so you can focus on analysis rather than data improvement. We’ve chosen free data sets of various types and qualities that we believe will work well for prediction purposes and some of them will also work for learning analytical skills.

List of free data sets

• The United States Census Data
  

  The United States Census Bureau distributes a plethora of demographic data at the state, city, and even zip code level. The data collection is incredible for creating geographic data visualizations, and it can be found on the Census website. The free data sets can also be accessed using an API and can be used in your first data science project. The choropleth is one handy way to use that API. In general, this data is exceptionally well-organized and thorough.

• FBI Crime Data
  

  FBI’s crime-free data set collections are intriguing. If you enjoy studying data and want to create your first data science project, you’ll want to utilize it to plot variations in crime rates at the national level over a twenty-year period. You may also look at the data in terms of geography. CDC Cause of Death: The Centers for Disease Control and Prevention (CDC) keeps track of causes of death. The data is segmented in almost every way possible, including age, race, year, and so on.

  

• The Bureau of Economic Analysis
  

  National and regional economic free data sets, including GDP and exchange rates, are available from the Bureau of Economic Analysis. Economic Data from the IMF: If you’re looking for international data, the IMF website is a good place to start your first data science project.

• Medicare Healthcare Quality
  

  The Department of Health and Human Services keeps track of complication rates per hospital, which allows for intriguing comparisons. SEER Cancer Incidence: The US government also maintains information on cancer incidence, which is further segmented by age, race, gender, year, and other characteristics can be your first data science project.

• Bureau of Labor Statistics
  

  several necessary economic indicators for u. s. (like state and inflation) is found on the Bureau of Labor Statistics website. Most of the info is segmental each by time and by geographics. You’ll be found in the list of free data sets for your first data science project .

• Dow Jones Weekly Returns
  

  Knowledge analysis and machine learning might be useful in predicting stock costs. The weekly results of the Dow Jones Index are one dataset to look into. This dataset is already well-known in the free data sets category and can be used in your data science project.

• Boston Housing information
  

  The Bean Town Housing Data Set includes median housing costs in Bean Town suburbs, thirteen costs-related variables, and is free to use in your data science project. It’s a fantastic tool for experimenting with different types of regressions.

• Enron Emails
  

  When Enron went bankrupt, a dataset of around 500,000 emails including message text and content became available and can be used in your first data science project. The dataset is already well-known in the free data sets category and serves as an excellent testing ground for text-based analysis. It has the unpredictability of real-world data.

  

• Google N-Grams
  

  When Enron went bankrupt, a dataset of around 500,000 emails including message text and content became available. The dataset is already well-known and serves as an excellent testing ground for text-based analysis. It has the unpredictability of real-world data.

• Sentence Sentiments
  

  Three thousand phrases have been classified as having favorable or negative attitudes by researchers. This is a wonderful place to start if you’re interested in categorizing text. The dataset is already well-known in the free data sets category you can use it in your data science project.

• Lending Club
  

  Loaning Club gives information on loan applications that have been denied, as well as the performance of the loans that it has provided. The data lends itself to both classification and regression approaches (will a particular loan default) (how a lot of are paid back on a given loan).

• Airbnb

  The information on the Inside Airbnb site comes from publicly available information on the Airbnb website. To facilitate public discussion, the data has been evaluated and aggregated where appropriate. The dataset is already well-known in the free data sets category also can be used in your data science project.

• Yelp
  

  The Yelp dataset is a subset of our companies, reviews, and user data that may be used for personal, scholarly, and educational reasons. Use it to teach students about databases, study NLP, or for example production data while learning how to develop mobile apps. It’s available as JSON files.

  

• Wikipedia

  Wikipedia provides directions for downloading the text of English language articles.

• Walmart
  

  Walmart has free store-level sales information for ninety-eight things across forty-five stores. This is a piece of wonderful information for statistic analysis and has fascinating seasonal parts similarly.

• Reddit Comments
  

  Reddit free a dataset of each comment that has ever been created on the location. That’s over a computer memory unit of knowledge uncompressed, so if you want a smaller dataset to work with Kaggle has hosted the comments from May 2015 on their site.

• NYC Taxi Trip Data
  

  This one is strangely fascinating. The NYC Taxi and Limousine Commission has been collecting transportation statistics from throughout New York City since 2009. Pick-up and drop-off times and locations, trip distances, rates, rate and payment methods, passenger counts, and more may all be found in these statistics. Comparing the variations in data from 2009 to now, especially within such a tiny geographic area, is fascinating to use all these data in your first data science project.

• CERN Open Data  Portal
  

  Do you want to show off your skill to work with large, complicated datasets? Go to the CERN Open Data Portal for further information. It gives users access to more than two petabytes of data, including data from the Large Hadron Collider particle accelerator. These facts aren’t for the faint of heart, but they’re worth looking at if you’r
  e interested in particle physics.

  

These free data sets can be downloaded from their website for free and you can use them to learn, improve your data science skills by implementing them in your data science project.