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  1. 2 cze 2023 · This page contains a list of 800 free data sets for you to practice your database, SQL, data science, or data visualisation skills.

    • JSON in SQL Server

      They may not apply to your application or database but they...

    • The Ultimate Guide

      JSON data can be enclosed in curly brackets which indicate...

    • Resources

      I use Google Drive for cloud storage. It’s got a generous...

    • Database Star Blog

      A list of blog posts on the Database Star website. Do you...

    • About

      I am passionate about database and I am very much interested...

    • Start Here

      Hierarchical data is the ability to store multiple levels of...

    • Contact

      Topic Ideas: You have an idea for a topic you’d like to see...

    • Career

      Improvement. A range of articles to help you improve your...

  2. Explore all public datasets. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. Flexible Data Ingestion.

  3. These free data sets are great public sources of information for those looking to learn how to analyze data and boost their data literacy skills.

  4. Provides a listing of available World Bank datasets, including databases, pre-formatted tables, reports, and other resources. DataBank An analysis and visualisation tool that contains collections of time series data on a variety of topics.

  5. datasetsearch.research.google.comDataset Search

    Dataset Search is a tool by Google that helps users find and explore datasets on a wide range of topics.

  6. Explore and download sample datasets hand-picked by Maven instructors. Practice applying your data analysis and visualization skills to real-world data, from flight delays and movie ratings to shark attacks and UFO sightings.

  7. www.openml.orgOpenML

    Datasets. to start tracking and sharing your own work. OpenML is open and free to use. AI-ready data. All datasets are uniformy formatted, have rich, consistent metadata, and can be loaded directly into your favourite environments. ML library integrations. Pipelines and models can be shared directly from your favourite machine learning libraries.

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