Make money doing the work you believe in
Stop Searching for Datasets Randomly. Use These Instead.
One of the biggest mistakes aspiring data analysts make is this:
They spend hours looking for datasets… and end up with something unusable.
Too small.
Too clean.
Too unrealistic.
If you want to build projects that actually stand out, you need reliable and diverse data sources. The kind that reflects real-world complexity.
Here are all the direct dataset links:
Academic & ML
Kaggle – kaggle.com
UCI ML Repository – archive.ics.uci.edu
Google Dataset Search – datasetsearch.research.…
GitHub – github.com
Finance & Business
Quandl (Nasdaq Data Link) – data.nasdaq.com
Yahoo Finance – finance.yahoo.com
Statista – statista.com
Our World in Data – ourworldindata.org
Government & Global
World Bank – data.worldbank.org
IMF – imf.org/en/Data
United Nations Data – data.un.org
Public & Health
EU Open Data – data.europa.eu
WHO – who.int/data
US Census Bureau – data.census.gov
OpenStreetMap – openstreetmap.org
Cloud & Big Data
Google Cloud Public Datasets – cloud.google.com/public…
AWS Open Data – registry.opendata.aws
Azure Open Datasets – azure.microsoft.com/en-…
BigQuery Public Datasets – cloud.google.com/bigque…
Save this for your next project.
