Build your first analysis
Start with one table and one question. Group the data by a date or category, create a simple chart, and explain what the result shows before adding more complexity.
Explore the Bike Sharing dataset →Free Datasets for Data Analysis
Find data for your next SQL, Excel, Python, or Power BI project. Preview the tables, choose a download, and start exploring—free, with no signup required.
Free downloads · Clear documentation · Practical project ideas
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Choose a dataset for your next project
Start with a business question that interests you. Each dataset page explains what is included, how the tables fit together, and what you can analyze.
5 datasets
- Synthetic business data6 source tables
Ecommerce Sales & Returns
Explore orders, repeat purchases, payments, and refunds. Practice sales reporting and joins across related business tables.
orderscustomersorder_itemsordersorder_itemsproducts100,000 ordersParquet · Excel · CSV · SQLiteView dataset → - Synthetic business data5 source tables
SaaS Subscriptions & Churn
Follow customer subscriptions over time. Practice retention analysis and compare subscription activity with billing and payments.
subscriptionsaccountssubscriptionsplansinvoicessubscriptions5,000 subscriptionsParquet · Excel · CSV · SQLiteView dataset → - Synthetic business data4 source tables
Marketing Campaigns & Conversions
Compare campaign spending, leads, and conversions. Practice marketing reporting without double-counting your budget.
daily_spendcampaignsleadscampaignsconversionsleads120 campaignsParquet · Excel · CSV · SQLiteView dataset → - Synthetic business data7 source tables
Inventory & Supply Chain
Explore purchasing, receipts, and stock movements. Practice inventory reconciliation and operations reporting.
productssuppliersinventory_opening_balancesproductsinventory_opening_balanceswarehouses138,436 stock movementsParquet · Excel · CSV · SQLiteView dataset → - Public-source data2 source tables
Bike Sharing Demand
Explore historical rental patterns across hours, days, and weather conditions. Practice time-series analysis with public-source data.
hourday17,379 hourly observationsParquet · Excel · CSV · SQLiteView dataset →
Not sure where to start?
Practice working across tables
Connect ecommerce customers, orders, and payments. Learn how relationships affect row counts—and how to avoid counting the same amount more than once.
Explore the ecommerce dataset →Know where your data comes from
Synthetic data
Fictional business records created for learning and testing. Use them to practice analysis and data modeling, not to draw conclusions about an actual company or industry.
Public-source data
Observations published by an external source. Check the dataset page for the original creator, coverage dates, license, and any preparation changes made by Analytics Engineering.
Questions about the dataset library
Are the datasets free to download?
Yes. Dataset downloads are free, and you do not need an Analytics Engineering account to access them. Courses and extended practice are separate from the downloadable data.
Which dataset should I use for a first project?
Start with one table and a clear question. Daily bike rental data is a useful starting point for grouping and charts. Choose ecommerce source tables when you are ready to practice joins.
Is the data real or synthetic?
The library includes both. The source label on each page identifies whether records come from a fictional scenario or an external public source.
Can I use a dataset in a portfolio, class, or business project?
Check the license on that dataset's page. Keep required attribution, identify your changes, and describe synthetic data as synthetic.