Choosing or building the right dataset is the foundation of impactful Data Science projects. As a fresher, you are limited to building real-world datasets because of the lack of access to real-time data and the cost of APIs. So, if you are looking for some real-world datasets for Data Science projects, this article is for you. In this article, I’ll take you through a list of 40 real-world datasets you can use for Data Science projects.
40 Real World Datasets for Data Science Projects
Below is a list of 40 real-world datasets you can use for Data Science projects.
Use these Datasets For Problems based on NLP
- ChatGPT Reviews Data
- Amazon Reviews Data
- Stanford Question Answering Dataset
- Reddit Comment Dataset
- OpenSubtitles Corpus
- Books Textual Datasets
Datasets For Problems based on Computer Vision
- Women’s Fashion Data
- COCO Dataset
- CelebA (Facial recognition)
- DeepFashion
- Open Images Dataset
- LIDC-IDRI (Lung Cancer Detection)
Datasets For Problems based on Time Series
- 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
- Bitcoin Historical Data
- NYC Taxi Demand Dataset
- Solar Power Generation Data
For Problems based on Analytics & Insights
- IPL 2024 Match Data
- Elections Ad Campaign Data
- Loan Recovery Data
- Retail Pricing Data
- User Demographics Data
- Website Performance Data
- Market Size of EVs Data
- Website Users Data
- Food Delivery Cost Data
- Cab Ride Fares Data
- Customer Transaction Data
- Credit Card Fraud Detection Dataset
For Problems based on Healthcare & Bioinformatics
- 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, access to real-world datasets is essential for developing practical data science skills and building impactful projects. This list of projects will help you enhance your portfolio, gain hands-on experience, and tackle challenges that mirror industry scenarios. 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.
