10 FREE Datasets to start building your Portfolio




You can use these datasets to perform Data Cleaning, Exploratory Data Analysis (EDA), Forecasting, create Visualizations/Dashboard, identify insights, etc, and add these projects to your portfolio
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📌 1. Supermarket Sales
Historical record of sales data in 3 different supermarkets


📌 2. Credit Card Fraud Detection
Anonymized credit card transactions labeled as fraudulent or genuine.

🌐 Credit Card Fraud Detection 

📌 3. FIFA 22 complete player dataset
The datasets provided include the players data for the Career Mode from FIFA 15 to FIFA 22. The data allows multiple comparisons for the same players across the last 8 version of the videogame.

🌐 FIFA 22 complete player dataset 

📌 4. Walmart Store Sales Forecasting
Use historical markdown data to predict store sales

🌐 Walmart Store Sales Forecasting 

📌 5. Netflix Movies and TV Shows

Listings of movies and tv shows on Netflix - Regularly Updated

🌐 Netflix Movies and TV Shows

📌 6. LinkedIn Data Analyst jobs listings
More than 8400 rows of data analyst jobs from USA, Canada and Africa.

🌐 LinkedIn Data Analyst jobs listings


📌 7. Top 50 Fast-Food Chains in USA
The key features of this Dataset are - Fast-Food Chains, U.S. Systemwide Sales (Millions - U.S Dollars), Average Sales per Unit (Thousands - U.S Dollars), Franchised Stores, Company Stores, 2021 Total Units, Total Change in Units from 2020.

🌐 Top 50 Fast-Food Chains in USA 


📌 8. Amazon and Best Buy Electronics
This is a list of over 7,000 online reviews for 50 electronic products from websites like Amazon and Best Buy provided by Datafiniti's Product Database. The dataset includes the review date, source, rating, title, reviewer metadata, and more.

🌐 Amazon and Best Buy Electronics


📌 9. Forecasting Book Sales
Forecast sales of 8 book titles in 2418 locations

🌐 Forecasting Book Sales


📌 10. Real / Fake Job Posting Prediction
This dataset contains 18K job descriptions out of which about 800 are fake. The data consists of both textual information and meta-information about the jobs. The dataset can be used to create classification models which can learn the job descriptions which are fraudulent.

🌐 Real / Fake Job Posting Prediction