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.

Early Bird Price

Structuring Sport Data in Excel

Available from 21 April 2026

£99

£129

Early bird price · One-time payment

Enrol now at the £99 early bird rate. The standard course price will increase to £129.

✓ Approx. 3 hours of content

✓ Self-paced learning

✓ Lifetime access to all course materials

✓ 30-day refund policy

✓ Course access opens on 21 April 2026

Enrol now — £99 early bird

The Problem

Most sport data problems don't start in the dashboard.
They start in the spreadsheet.

If your Excel files are difficult to analyse, trust, or report from — the issue is often not the data itself. It's the structure behind it.

How it breaks down

✎

Raw data

collected

›

☷

Spreadsheet

poor structure

›

✗

Analysis

unreliable

›

⚠

Decisions

hard to trust

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 don't represent one consistent record

■

Spreadsheets built for viewing, not analysis

↳ The resulting cost

Harder to clean Harder to report Lost confidence Wasted hours

✓

That's why this course starts with structure first.

Fix the foundation — and everything downstream becomes clearer, faster, and more trustworthy.

What Changes After This Course

Before

Messy athlete data
No ID system
Inconsistent formats
Hard to analyse
Manual fixes every time

After

Structured athlete data
Clean ID system
Consistent formats
Fast analysis
Ready for Power BI

What You'll Learn

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

From common structuring mistakes to analysis-ready models — six focused modules that change how you work with sport data.

Foundation

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.

Data trust Common errors Structure basics

Principles

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.

Tables vs spreadsheets Data types Row design

Structure

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.

Granularity Athlete IDs Long vs wide Governance

Modelling

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.

Star schema Relationships Data flow Excel modelling

Hands-on

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.

Power Query Excel tools Restructuring

Reporting

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.

Power BI Reporting File connections

🏆

Complete all six modules to earn your Sport Horizon Course Certificate — a verified credential for your data workflow skills.

Who This Course Is For

Strength & Conditioning Coaches

Sport Scientists

Analysts

Students & Beginners

No advanced Excel or Power BI knowledge needed.

Early Bird Enrolment Open