Data Science

Top 10 Kaggle Datasets Every Data Scientist Should Know

Check out the Top 10 Kaggle datasets that every data scientist should know

Disha Sinha

Data science projects are gaining popularity among professional data scientists or aspiring data scientists in recent times. It helps to gain clarity on concepts and mechanisms of the vast data science field. Kaggle datasets are available to provide assistance and relevant data and information for successful data science projects. Kaggle is a popular online community of data scientists to find and publish Kaggle datasets to help any other data scientist to work on different data science projects efficiently and effectively. Let's explore some of the top ten Kaggle datasets that every data scientist must know to use in 2022.

Top ten Kaggle datasets for a data scientist in 2022

COVID-19 data from John Hopkins University

It is one of the top Kaggle datasets for every data scientist to use in data science projects related to the pandemic. This dataset consists of the confirmed cases and deaths on a country level, the US county, as well as some metadata in the raw JHU data. The raw version is distributed in the origin Kaggle dataset for the data science domain.

Data science for COVID-19

This Kaggle dataset offers a structured dataset based on the report materials of KCDC (Korea Centers for Disease Control and Prevention) and local governments. It analyzes and visualizes sufficient data for successful data science projects.

Google-Landmarks Dataset

It is one of the trending Kaggle datasets for effective data science projects in 2022. A data scientist may use landmark recognition technology from Google to predict landmark labels directly from image pixels with large annotated datasets. This Kaggle dataset is divided into two sets of an image for recognition and retrieval as computer vision tasks.

Binance Coin cryptocurrency data

This Kaggle dataset is known for offering sufficient data on the popular cryptocurrency known as Binance Coin with its Binance exchange information. If any data scientist is working on a cryptocurrency-related data science project, this Kaggle dataset can be useful with relevant data.

2022 Ukraine Russia War

Kaggle datasets are known for providing recent data and information just like the 2022 Ukraine Russia war dataset that can help a data scientist in relevant data science projects. It offers information on equipment losses, death toll, military wounded, and prisoners of war in Russia.

COVID-19 Open Research Dataset Challenge

COVID-19 pandemic is trending to be used in several data science projects, especially for aspiring data scientists. The CORD-19 is well-known as a resource, as Kaggle datasets consist of more than 1,000,000 scholarly articles and more than 350,000 with full-text information on COVID-19 and SARS-CoV-2.

International football results from 1972 to 2019

Not all data science projects are related to healthcare or other industries. There is a vital sports industry as well. Thus, this dataset is one of the top Kaggle datasets with updated information on more than 40,000 international football results. The dates start from 1972 to 2019, from the FIFA World Cup to the FIFI Wild Cup and friendly matches across the world.

Netflix Movies and TV Shows

This dataset is a favorite for entertainment data analytics. It contains information on the content available on Netflix, enabling analysis of content production and viewer preferences.

Students Performance in Exams

A dataset that reflects population demographics and contains features like meal type, test preparation level, and parental education, it's used to solve regression and classification problems in education.

Zillow Economics Data

Real estate is a significant part of the economy, and this dataset provides economic and housing data that can be used for market analysis and predictive modeling in real estate.

These data sets aren’t just numbers and text. They represent real-world problems and issues. They’re the learning grounds where data scientists practice their skills, validate their concepts, and generate valuable insights that shape industries and decision-making.

Data scientists must approach these datasets with a mix of curiosity and skepticism, constantly questioning the data's integrity and looking for ways to cleanse, manipulate, and extract valuable information. The ability to work with such diverse datasets is what makes a data scientist versatile and in demand.

Conclusion

Kaggle datasets are a must-have for any data scientist. They offer a practical basis for building and testing your data science abilities. Whether you’re just starting out and want to dive into real-world data or you’re an experienced data scientist ready to take on new challenges, here are the top 10 Kaggle datasets for data scientists.

COVID-19 Open Research Dataset Challenge

COVID-19 pandemic is trending to be used in several data science projects, especially for aspiring data scientists. The CORD-19 is well-known as a resource, as Kaggle datasets consist of more than 1,000,000 scholarly articles and more than 350,000 with full-text information on COVID-19 and SARS-CoV-2.

International football results from 1972 to 2019

Not all data science projects are related to healthcare or other industries. There is a vital sports industry as well. Thus, this dataset is one of the top Kaggle datasets with updated information on more than 40,000 international football results. The dates start from 1972 to 2019, from the FIFA World Cup to the FIFI Wild Cup and friendly matches across the world.

Netflix Movies and TV Shows

This dataset is a favorite for entertainment data analytics. It contains information on the content available on Netflix, enabling analysis of content production and viewer preferences.

Students Performance in Exams

A dataset that reflects population demographics and contains features like meal type, test preparation level, and parental education, it's used to solve regression and classification problems in education.

Zillow Economics Data

Real estate is a significant part of the economy, and this dataset provides economic and housing data that can be used for market analysis and predictive modeling in real estate.

These data sets aren’t just numbers and text. They represent real-world problems and issues. They’re the learning grounds where data scientists practice their skills, validate their concepts, and generate valuable insights that shape industries and decision-making.

Data scientists must approach these datasets with a mix of curiosity and skepticism, constantly questioning the data's integrity and looking for ways to cleanse, manipulate, and extract valuable information. The ability to work with such diverse datasets is what makes a data scientist versatile and in demand.

Conclusion

Kaggle datasets are a must-have for any data scientist. They offer a practical basis for building and testing your data science abilities. Whether you’re just starting out and want to dive into real-world data or you’re an experienced data scientist ready to take on new challenges, here are the top 10 Kaggle datasets for data scientists.

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