Structuring Sport Data in Excel

Build cleaner, more reliable sport data workflows in Excel.

Learn how to structure athlete, session, and performance data properly so it is easier to analyse, report on, and scale.

No more messy spreadsheets in Excel.

Join Structuring Sport Data in Excel and learn how to organise sport data in a cleaner, more reliable way so it is easier to analyse, report on, and scale.

Structuring Sport Data in Excel

Available from 21 April 2026

£99

One-time payment

✓ Approx. 3 hours of content

✓ Self-paced learning

✓ Lifetime access to all course materials

✓ 30-day refund policy

✓ Available from 21 April 2026

Enrol now — £99

The Problem

Most sport data problems do not start in the dashboard. They start in the spreadsheet.

If your Excel files are difficult to analyse, difficult to trust, or difficult to report from, the issue is often not the data itself.

It is the structure behind it.

Across sport data workflows, the same problems appear again and again:

! Athlete names entered differently across files

! Multiple data types mixed into one spreadsheet

! Inconsistent columns, dates, and formats

! No clear athlete ID system

! Rows that do not represent one consistent record

! Spreadsheets built for viewing rather than analysis

When the structure is weak, everything downstream becomes harder, from cleaning and reporting to making confident decisions from the data.

That is why this course starts with structure first.

What You'll Learn

Learn how to build cleaner, more reliable sport data workflows in Excel

This course takes you from the common structuring mistakes that break analysis through to better IDs, cleaner tables, analysis-ready models, and stronger reporting foundations.

Module 1

Spot the mistakes that break analysis

Learn why bad structure causes problems downstream, and identify the common mistakes that make sport data harder to trust, analyse, and report from.

Module 2

See what clean sport data should look like

Understand the difference between spreadsheets and structured tables, separate data types properly, and build rows that represent one clear record.

Module 3

Build stronger structuring foundations

Learn data granularity, athlete ID systems, long vs wide data, column naming, and the basics of data governance for sport workflows.

Module 4

Create analysis-ready data models

Move from raw files into cleaner data flow, understand relationships, explore star schema design, and build an analysis-ready data model in Excel.

Module 5

Turn messy spreadsheets into structured tables

Learn how to approach messy datasets, use essential Excel tools for quick structuring, work with Power Query basics, and avoid common restructuring pitfalls.

Module 6

Understand where Excel meets Power BI

See how Power BI reads Excel data, why structure matters for reporting, how to connect your files, and where Excel stops and Power BI starts.

Upon completion of the course you will receive a Sport Horizon Course Certificate.

Early Bird Enrolment Open