Structuring Sport Data in Excel
✓ Stop wasting time fixing messy spreadsheets
Learn how to properly structure athlete, session, and performance data. Build clean, trustworthy data models in Excel that flow effortlessly into reporting tools like Power BI.
Excel Structuring & Data Governance
Identify critical flaws in unstructured spreadsheets and establish industry-standard data rules for sports performance files.
Analysis-Ready Data Modeling
Transition from isolated flat spreadsheets to relational Star Schema architectures designed for automated sports reporting.
Power Query ETL & Clean Up
Transform raw, inconsistent data inputs into structured, production-ready datasets using modern transformation tools.
Power BI Integration & Project
Bridge your Excel data pipelines directly into Power BI to create seamless, automated performance visualisations.
Course Modules
Learn how to structure raw sports data, design robust data models, and build automated reporting pipelines in Excel and Power BI.
- Overview: Welcome & what you'll learn
- Workflow: The sport data workflow
- Getting Started: Course files, setup and how to follow along
- Lesson 1.1: Why bad data structure breaks your analysis
- Lesson 1.2: Five structuring mistakes in sport data
- Lesson 1.3: Why athlete names cause data errors
- Lesson 1.4: How duplication cause problems
- Lesson 1.5: Why structure is essential
- Lesson 2.1: Example of a clean data structure
- Lesson 2.2: Tables vs spreadsheets: the key difference
- Lesson 2.3: Separating data types (athlete, session, load)
- Lesson 2.4: Each row represents one record
- Lesson 2.5: What clean data should look like
- Lesson 3.1: Data granularity
- Lesson 3.2: Designing an athlete ID system
- Lesson 3.3: Practically implementing an athlete ID
- Lesson 3.4: Long vs wide data
- Lesson 3.5: Data types in Excel sport data
- Lesson 3.6: How to name your columns correctly
- Lesson 3.7: Introducing basic data governance
- Lesson 4.1: From raw files to data flow
- Lesson 4.2: Automating data input with folder connection
- Lesson 4.3: Data model basics
- Lesson 4.4: Understanding relationships in data models
- Lesson 4.5: Star schema model design
- Lesson 4.6: Building a data model in Excel
- Lesson 4.7: Turning the data model into analysis
- Lesson 5.1: How to approach a messy dataset
- Lesson 5.2: Essential Excel tools for quick structuring
- Lesson 5.3: Introduction to Power Query Editor
- Lesson 5.4: Creating new metrics
- Lesson 5.5: Common pitfalls when working with messy data
- Lesson 5.6: Introduction to validation solutions
- Lesson 6.1: How Power BI sees your Excel data
- Lesson 6.2: Why bad structure breaks Power BI
- Lesson 6.3: Connecting Power BI to your Excel files
- Lesson 6.4: Where Excel stops and Power BI starts
- Lesson 7.1: Project Description
- Lesson 7.2: Quiz
- Lesson 7.3: Course Feedback
What practitioners say
Structuring Sport Data in Excel
- Self-paced learning
- Fixing common Excel mistakes
- Athlete ID & long vs wide data
- Power Query & automation
- Star Schema data modeling
- Connecting Excel to Power BI
Frequently Asked Questions
In Structuring Sport Data in Excel, youā€™ll learn how to organise sport data in a way that is cleaner, easier to analyse, and easier to report on.
This includes topics such as:
- Structuring mistakes in sport data
- Athlete IDs
- Long vs wide data
- Column naming
- Separating data types
- Data flow
- How Excel structure affects reporting
Yes. The course is suitable for both beginner and intermediate Excel users, especially those working with sport data who want a more reliable workflow.
You do not need to be an advanced Excel user to benefit from the course.
This pathway is designed for:
- Sport scientists
- Strength & conditioning coaches
- Performance analysts
- Students preparing for applied roles
- Practitioners working with athlete or performance data in Excel
If you already use spreadsheets in your workflow and know they could be better structured, this is for you.
After working with clients all over the world, weā€™ve seen how poorly structured data leads to bad analysis, frustration, and wasted time. In this course, youā€™ll learn a simple, clear approach to structuring your data so your analysis is accurate, fast, and far less stressful.
Yes. All purchases include a 30-day refund policy.
Yes, all our courses include an official certificate upon completion of the course.
Yes, we offer the option to pay for the courses in instalments. At check-out you have two options. If further options are needed, please send an email to [email protected]. Our team will provide you with the details and assist you with the process.
We currently offer subtitles in four different languages: English, Spanish, Italian, and French. If you miss any other languages, please reach out to [email protected].
