Selecting the right dataset is crucial for building meaningful Data Science projects. However, as a beginner, gaining access to real-world data can be challenging due to the high cost of APIs and the limited availability of real-time data. So, if you’re looking for quality datasets to work with, this article is for you. Here, I’ve compiled a list of 50 real-world datasets that you can use to develop hands-on Data Science projects across various domains.
50 Real-World Datasets for Data Science Projects
Below is a list of 50 real-world datasets you can use to develop hands-on Data Science projects across various domains.
Datasets For Problems Based on Analytics & Insights
- B2B E-commerce Data
- IPL 2024 Match Data
- Elections Ad Campaign Data
- Loan Recovery Data
- Metro Network
- Retail Pricing Data
- User Demographics Data
- Website Performance Data
- Market Size of EVs Data
- Website Users Data
- Food Delivery Cost Data
- User Profiling Data
- Cab Ride Fares Data
- Dating App Data
- Customer Transaction Data
- Credit Card Fraud Detection Dataset
NLP & Text Analysis Datasets
- ChatGPT Reviews Data
- Amazon Reviews Data
- Stanford Question Answering Dataset
- Reddit Comment Dataset
- OpenSubtitles Corpus
- Books Textual Datasets
- English speech recognition training corpus from TED talks
- Common Crawl
- Waymo Open Dataset
Datasets For Computer Vision Problems
- Women’s Fashion Data
- COCO Dataset
- CelebA (Facial recognition)
- DeepFashion
- Open Images Dataset
- LIDC-IDRI (Lung Cancer Detection)
- ImageNet
- Plant Disease Detection Dataset
Datasets for Time Series Problems
- Fitness Watch Data
- Carbon Emissions Data
- Netflix Content Strategy Data
- Instagram Reach Data
- Closing prices of NIFTY50 stocks
- Rainfall Trends in India Data
- M5 Forecasting Dataset (Walmart Sales Data)
- NOAA Global Temperature Dataset
- USD – INR Conversion Rate Data
- Bitcoin Historical Data
- NYC Taxi Demand Dataset
- Solar Power Generation Data
Healthcare & Bioinformatics Datasets
- MIMIC-III (Electronic Health Records)
- Human Activity Recognition (HAR) Dataset
- COVID-19 Open Research Dataset (CORD-19)
- Breast Cancer Wisconsin Dataset
- TCGA Genomics Dataset
Many of these datasets require you to have a strong knowledge of Machine Learning algorithms. If you are learning ML Algorithms, my book will help you in your journey. Here are links to find the ebook and paperback versions:
Summary
So, gaining access to real-world data is challenging due to the high cost of APIs and the limited availability of real-time data. You can use this list of datasets to develop hands-on Data Science projects across various domains. I hope you liked this article on real-world datasets you can use for Data Science projects. Feel free to ask valuable questions in the comments section below. You can follow me on Instagram for many more resources.
