Skip to main content

Industry · 5 datasets

Retail datasets for Power BI, Excel and Python practice

Free Retail practice datasets with graded questions from L1 to L5: real-shaped data, an answer to check for every question and a discussion under each one.

L1

Daily Grocery Sales and Store Performance

Explore daily grocery sales by store, product and promotion to establish margin, discount and performance baselines.

DD-RET-001 · XLSX · ~10,000 rows · 30 questions

L2

Inventory, Promotions and Product Profitability

Connect transaction-level sales with inventory snapshots, suppliers, channels and returns to judge promotion and product profitability.

DD-RET-002 · CSV · ~30,000 rows · 40 questions

L3

Omnichannel Sales, Customer Behaviour and Commercial Risk

Analyse sales, customers, payments and inventory movements across a forty-store network to find where commercial risk is building.

DD-RET-003 · PARQUET · ~500,000 rows · 50 questions

L4

Enterprise Retail Profitability and Inventory Optimisation

Plan profitability, budgets, supplier deliveries and warehouse throughput across a large multi-region grocery enterprise.

DD-RET-004 · PARQUET · ~3,000,000 rows · 60 questions

L5

Group Reporting: Mapping, Reconciliation and Store Profitability

A grocery chain, an acquired online business and a franchise in Bahrain - three ERPs, one group P&L. Build the account mapping from the Group Accounti...

DD-RET-005 · PARQUET · ~12,000,000 rows · 24 questions

Free account: download the data, check your answers and earn a certificate.

Create a free account

More practice data