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Stop wasting time fixing messy spreadsheets in Excel

Learn how to structure athlete, session, and performance data properly so you spend less time fixing spreadsheets,

and more time using the data.

 

 

 

 

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.

01
 
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
02
 
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
03
 
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
04
 
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
05
 
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
06
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.

 

 

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
Access opens 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

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