Applied ML for Human Performance
Master Data Analytics & Machine Learning
- Years of Experience
- 15+
- College Courses Taught
- 5+
- Athletes Served
- 500+
The Challenge
Making sense of performance data shouldn't require a data science degree
You're spending hours on manual data entry, frustrated with clunky software that doesn't fit your workflow, and watching valuable insights slip through the cracks. You know there's a better way—you just need the right analytical tools and applied ML skills to unlock it.
Manual Data Workflows
Copy-pasting between apps, reformatting spreadsheets, and losing hours to repetitive tasks.
Limited Software Options
Generic tools that don't fit your specific needs or cost more than your entire equipment budget.
IoT Device Integration
You have devices collecting data, but no way to analyze it effectively or integrate it into your workflow.
Master the analytics you need
This program teaches you data analytics and applied machine learning through real-world lessons in anatomy and sports science—using Google Colab notebooks and Sheets. No complex setup, no data science jargon, just practical skills you can use immediately.
Curriculum
What You'll Learn
Five self-paced mini-courses designed for coaches and educators. Complete each 8-week module at your own pace—or go faster if you're ready.
- Data Collection & Performance Assessments
- Learn how to collect and organize data from common performance assessments. Understand data structures and best practices for tracking athlete metrics.
- ETL (Extract, Transform, Load)
- Master the process of extracting data from IoT devices, transforming it into usable formats, and loading it into your analysis tools.
- Python Fundamentals & "Vibe Coding"
- Build foundational Python skills with an intentional, practical approach. Learn to write code that solves real problems in sports science.
- From Sheets to SQL
- Progress from Google Sheets queries to SQL for structured data. Learn when to use each tool and how to transition between them.
- Introduction to ML Packages
- High-level overview of common machine learning packages. Understand the math behind them and when to use each approach in your practice.
Who This Is For
Built for Coaches & Educators
Whether you're CSCS-certified, teaching anatomy, or aspiring to make data-driven decisions in your practice—this program meets you where you are.
- Strength & Conditioning Coaches
- CSCS-certified professionals looking to integrate data analytics and machine learning into their training programs for data-driven decision making.
- Anatomy & Physiology Teachers
- Educators aspiring to incorporate applied machine learning and data analysis into their curriculum for enhanced student engagement.
- Sport Scientists
- Practitioners who want to master analytical workflows for athlete monitoring, performance optimization, and evidence-based practice.
- Aspiring Performance Analysts
- Coaches and practitioners ready to develop analytical skills with Python, ML packages, and performance data analysis.
Taught by a CSCS
This program is created and taught by Kate Engard, CSCS (Certified Strength & Conditioning Specialist) with a Master's in Kinesiology and over 15 years of human performance experience.
Learn through applied lessons in anatomy and sports science—not abstract data science lectures. Every concept is taught in the context of real-world performance analysis, athlete monitoring, and biomechanical assessment.
Join the Waitlist
Be the First to Know When We Launch
We're building this program now. Join the waitlist to get early access, founding member pricing, and exclusive updates as we develop the curriculum.
FAQ
Frequently Asked Questions
- Do I need prior coding or data science experience?
- No! This program is designed for complete beginners. We start with fundamentals and build analytical skills through practical, applied lessons in sports science and anatomy.
- What tools will I need?
- Just a computer and internet connection. We use Google Colab notebooks (free) and Google Sheets—no software installation or complex setup required.
- How long does it take to complete?
- Each mini-course is designed as an 8-week module, but since it's self-paced, you can move faster or take more time as needed. Complete all five courses at your own pace.
- Do I need to be CSCS-certified?
- No, this program is open to any coach, anatomy teacher, sport scientist, or practitioner interested in integrating data analytics and ML into their work.
- When will the program launch?
- We're currently building the curriculum. Join the waitlist to be notified when enrollment opens and receive exclusive early access.
- What makes this different from other data analytics courses?
- Every lesson is taught through applied examples in anatomy, sports science, and performance analysis. You're not analyzing generic sales data—you're working with athlete performance metrics, IoT device outputs, and real biomechanical data from your practice.