Essential Real-World Datasets for Data Science Projects

Having the right dataset is important for any Data Science project. But finding real-world data can be difficult, especially for beginners, due to limited access and high API costs.

To help you get started, I have put together a list of real-world datasets for different types of projects. Whether you are working on Natural Language Processing, Computer Vision, Time Series analysis, or Data Analytics, these datasets will be useful for hands-on learning.

Here is a list of datasets you can use for your next Data Science project.

Must-Use Datasets for Data Science Projects

I will cover each dataset based on its category, one by one. You can click on any dataset to download it.

Datasets for Problems Based on Analytics & Insights

• Cab Ride Fares Data

• Website Performance Data

• Elections Ad Campaign Data

• IPL 2024 Match Data

• Food Delivery Cost Data

• Loan Recovery Data

• Market Size of EVs Data

• Credit Card Fraud Detection Dataset

• Retail Pricing Data

• Website Users Data

• Customer Transaction Data

• User Demographics Data

Datasets for Problems Based on Healthcare

• Breast Cancer Wisconsin Dataset

• MIMIC-III (Electronic Health Records)

• COVID-19 Open Research Dataset

• TCGA Genomics Dataset

• Human Activity Recognition Dataset

Datasets for Problems Based on Time Series

• NYC Taxi Demand Dataset

• Carbon Emissions Data

• Bitcoin Historical Data

• Fitness Watch Data

• Instagram Reach Data

• Rainfall Trends in India Data

• Closing Prices of NIFTY50 Stocks

• M5 Forecasting Dataset (Walmart Sales Data)

• NOAA Global Temperature Dataset

• Netflix Content Strategy Data

• Solar Power Generation Data

Datasets for Problems Based on Computer Vision

• COCO Dataset

• DeepFashion

• LIDC-IDRI (Lung Cancer Detection)

• Open Images Dataset

• Women's Fashion Data

• CelebA (Facial Recognition)

Datasets for Problems Based on NLP

• Amazon Reviews Data

• Reddit Comment Dataset

• OpenSubtitles Corpus

• Books Textual Datasets

• ChatGPT Reviews Data

• Stanford Question Answering Dataset

Final Words

Having access to real-world datasets is essential for improving your data science skills and building impactful projects. The datasets shared in this post cover various domains, including NLP, Computer Vision, Time Series, Analytics, and Healthcare, giving you plenty of options to explore.

Whether you're a beginner or an experienced data scientist, working with these datasets will help you gain practical experience and develop a deeper understanding of real-world data challenges. Pick a dataset that interests you, start analyzing, and enhance your skills through hands-on learning!