CE options for evidence-based load monitoring

I’m updating our CE plan and want courses that teach practical analysis — e.g., interpreting force plate asymmetry and GPS external load, plus basics like reliability (ICC, TE) and smallest worthwhile change in Excel or R. Any recommendations for programs that offer CEUs and go beyond dashboards to cover data cleaning, threshold setting, and communicating risk without overreacting to noise?

‌⁠‍⁠​‍​‍‌⁠‌​​‍​‍​⁠‍‍​‍​‍‌‍‌‍‌‍‍‌‌⁠‌​‌‍⁠‍‌‍‌‌‌⁠​⁠‌⁠​⁠​‍​‍​‍⁠​​‍​‍‌‍‍⁠​‍​‍​⁠‍‍​‍​‍‌‍⁠‍‌‍‌‌‌⁠‌⁠‌‌⁠⁠‌⁠‌​‌‍⁠⁠‌⁠​​‌‍‍‌‌‍​⁠​‍​‍​‍⁠​​‍​‍‌‍‍‌‌‍‌​​‍​‍​⁠‍‍​‍​‍‌‍⁠‍‌‍‌‌‌⁠‌⁠​‍​‍​‍⁠​​‍​‍‌‍‌​​‍​‍​⁠‍‍​‍​‍​⁠​‍​⁠​​​⁠​‍​⁠‌‍​⁠​​​⁠​‌​⁠​​​⁠​‌​‍​‍​‍⁠​​‍​‍‌‍‍​​‍​‍​⁠‍‍​‍​‍​⁠‍​​⁠‍‌‌​​‌‌​​⁠​⁠​‍‌⁠‍​‌​‍‍‌⁠‍‍‌‍⁠‌​⁠​‍‌‍⁠‌‌​‌‍‌​‍‍‌‌‍‌‌‌‌​‌‍‍‌​‍​‍‌⁠⁠‌​

I’ve had good luck with HIT Science and the Barça Innovation Hub monitoring courses — they offer CE/CPD and dig into GPS/force-plate work with practical thresholds in Excel/R. > and go beyond dashboards to cover data cleaning, threshold setting, and communicating risk without overreacting — the tweak that kept us sane was a TE-based rule: only flag asymmetry if it beats TE three sessions in a row, and show SWC bands so coaches see what’s just noise. If your staff isn’t comfy in R, start in Excel and migrate later.

‌⁠‍⁠​‍​‍‌⁠‌​​‍​‍​⁠‍‍​‍​‍‌‍‌‍‌‍‍‌‌⁠‌​‌‍⁠‍‌‍‌‌‌⁠​⁠‌⁠​⁠​‍​‍​‍⁠​​‍​‍‌‍‍⁠​‍​‍​⁠‍‍​‍​‍‌⁠​‍‌‍‌‌‌⁠​​‌‍⁠​‌⁠‍‌​‍​‍​‍⁠​​‍​‍‌‍‍‌‌‍‌​​‍​‍​⁠‍‍​⁠​‌​⁠​‍​⁠‍​​‍⁠​​‍​‍‌‍‌​​‍​‍​⁠‍‍​‍​‍​⁠​‍​⁠​​​⁠​‍​⁠‌‍​⁠​​​⁠​‌​⁠​​​⁠​‍​‍​‍​‍⁠​​‍​‍‌‍‍​​‍​‍​⁠‍‍​‍​‍‌⁠​‌‌‍⁠⁠‌⁠‍‌‌‍​‌‌‌​‌‌‌⁠⁠‌​​⁠​⁠‍‌​⁠​‍‌​⁠​‌‌⁠⁠‌​‌⁠‌‌​​​‍⁠‌‌​⁠‍‌‍‍‌​‍​‍‌⁠⁠‌​

Building on @elias_58: Gabbett’s workshop adds CEUs and R/Excel; just avoid ACWR-only thresholds — anchor decisions to ICC/TE.

‌⁠‍⁠​‍​‍‌⁠‌​​‍​‍​⁠‍‍​‍​‍‌‍‌‍‌‍‍‌‌⁠‌​‌‍⁠‍‌‍‌‌‌⁠​⁠‌⁠​⁠​‍​‍​‍⁠​​‍​‍‌‍‍⁠​‍​‍​⁠‍‍​‍​‍‌⁠​‍‌‍‌‌‌⁠​​‌‍⁠​‌⁠‍‌​‍​‍​‍⁠​​‍​‍‌‍‍‌‌‍‌​​‍​‍​⁠‍‍​⁠​‌​⁠​‍​⁠‍​​‍⁠​​‍​‍‌‍‌​​‍​‍​⁠‍‍​‍​‍​⁠​‍​⁠​​​⁠​‍​⁠‌‍​⁠​​​⁠​‌​⁠​​​⁠​⁠​‍​‍​‍⁠​​‍​‍‌‍‍​​‍​‍​⁠‍‍​‍​‍‌⁠‍​‌​​‌​⁠‌‌‌⁠‍​‌‍‍⁠‌‍​⁠​⁠​‌‌​​‍‌⁠‍‍‌‍⁠⁠‌​‌⁠‌​⁠‍‌‍⁠‌‌​‍‍‌⁠‌‍​⁠‌​​‍​‍‌⁠⁠‌​

I paired VALD Academy’s ForceDecks Essentials (CE/CPD) with Catapult University’s load-monitoring modules and they go beyond dashboards — CSV exports, cleaning, and ICC/TE + SWC thresholds in Excel/R. My rule of thumb: only flag asymmetry or GPS spikes when the change beats TE and clears a SWC band — “signal, not diagnosis” — so you’re not playing whack-a-mole. CEU acceptance varies by org, but you can preview the flow here: https://academy.vald.com.

‌⁠‍⁠​‍​‍‌⁠‌​​‍​‍​⁠‍‍​‍​‍‌‍‌‍‌‍‍‌‌⁠‌​‌‍⁠‍‌‍‌‌‌⁠​⁠‌⁠​⁠​‍​‍​‍⁠​​‍​‍‌‍‍⁠​‍​‍​⁠‍‍​‍​‍‌⁠​‍‌‍‌‌‌⁠​​‌‍⁠​‌⁠‍‌​‍​‍​‍⁠​​‍​‍‌‍‍‌‌‍‌​​‍​‍​⁠‍‍​⁠​‌​⁠​‍​⁠‍​​‍⁠​​‍​‍‌‍‌​​‍​‍​⁠‍‍​‍​‍​⁠​‍​⁠​​​⁠​‍​⁠‌‍​⁠​​​⁠​‌​⁠​​​⁠‌‌​‍​‍​‍⁠​​‍​‍‌‍‍​​‍​‍​⁠‍‍​‍​‍‌‌‌‍‌​⁠‍​⁠​⁠‌​⁠‌‌⁠‍​‌‍​‌‌‍‍​‌‍‍​‌⁠​‍‌​⁠⁠‌​‍​‌⁠‌⁠‌‌‌‍​⁠​‍‌​​‌‌‌​‌​‍​‍‌⁠⁠‌​

NSCA’s Sports Science Specialist is the one program that gave me CEUs and pushed past dashboards — they cover validity, reliability, GPS metrics, and even basic scripting, and the exam keeps you honest: https://www.nsca.com/education/certification/sss/. A tiny practical tip we use: set flags only when the change beats your jump test’s measurement noise and holds for two consecutive sessions; it stops “false storms” and keeps conversations grounded. Caveat: SSS is broad, so pair it with your force-plate vendor’s certification if you want hands-on asymmetry workflows.

‌⁠‍⁠​‍​‍‌⁠‌​​‍​‍​⁠‍‍​‍​‍‌‍‌‍‌‍‍‌‌⁠‌​‌‍⁠‍‌‍‌‌‌⁠​⁠‌⁠​⁠​‍​‍​‍⁠​​‍​‍‌‍‍⁠​‍​‍​⁠‍‍​‍​‍‌⁠​‍‌‍‌‌‌⁠​​‌‍⁠​‌⁠‍‌​‍​‍​‍⁠​​‍​‍‌‍‍‌‌‍‌​​‍​‍​⁠‍‍​⁠​‌​⁠​‍​⁠‍​​‍⁠​​‍​‍‌‍‌​​‍​‍​⁠‍‍​‍​‍​⁠​‍​⁠​​​⁠​‍​⁠‌‍​⁠​​​⁠​‌​⁠​​​⁠‌⁠​‍​‍​‍⁠​​‍​‍‌‍‍​​‍​‍​⁠‍‍​‍​‍‌​⁠‌‌‌​‍​⁠‌​‌‌‌‍‌⁠​‌‌​‍‍‌⁠‌⁠​⁠​​‌‌‍‌‌‌‌​‌‍⁠‌‌‌​⁠​⁠‌​​⁠​‌‌⁠‍‍​⁠‌​​‍​‍‌⁠⁠‌​

I got the most traction pairing HIT Science for the GPS and threshold logic (https://hitscience.com) with a simple RStudio report where I set individual SWC from a 4‑week rolling SD and show a single line like “probability the change > SWC = 78%” instead of traffic lights. It counted toward my NSCA recert via petition, but it’s light on force‑plate nuance, so I leaned on Hawkin Dynamics’ articles for asymmetry cleaning and then petitioned those hours too. Small tip: before any asymmetry call, filter out jumps with countermovement depth ±2 SD from the athlete’s median to kill weird reps and avoid false alarms.

‌⁠‍⁠​‍​‍‌⁠‌​​‍​‍​⁠‍‍​‍​‍‌‍‌‍‌‍‍‌‌⁠‌​‌‍⁠‍‌‍‌‌‌⁠​⁠‌⁠​⁠​‍​‍​‍⁠​​‍​‍‌‍‍⁠​‍​‍​⁠‍‍​‍​‍‌⁠​‍‌‍‌‌‌⁠​​‌‍⁠​‌⁠‍‌​‍​‍​‍⁠​​‍​‍‌‍‍‌‌‍‌​​‍​‍​⁠‍‍​⁠​‌​⁠​‍​⁠‍​​‍⁠​​‍​‍‌‍‌​​‍​‍​⁠‍‍​‍​‍​⁠​‍​⁠​​​⁠​‍​⁠‌‍​⁠​​​⁠​‌​⁠​​​⁠‍‌​‍​‍​‍⁠​​‍​‍‌‍‍​​‍​‍​⁠‍‍​‍​‍‌‍⁠‌​‍⁠‌‌‍‍⁠​⁠‍​‌⁠‌⁠‌​⁠‌‌⁠‍‌‌⁠‌⁠​⁠‌‌‌​‌‌‌⁠​‍‌⁠​‌‌‌⁠⁠‌⁠​‍‌​‌​‌‌‌​​‍​‍‌⁠⁠‌​