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Physics Data Analysis Course

Physics Data Analysis Course
4 to 360h flexible workload
certificate valid in your country

What will I learn?

Gain hands-on skills in physics data analysis: model damped oscillations, process signals with FFT and filters, fit nonlinear models, quantify uncertainties via bootstrap and Bayesian methods, perform diagnostics on residuals, and create reproducible workflows with publication-ready figures and reports.

Elevify advantages

Develop skills

  • Time-series preprocessing: clean, resample, and detrend noisy physics data fast.
  • Signal processing: apply FFT, filters, and wavelets to extract physical parameters.
  • Model fitting: run nonlinear least squares and robust fits for damped oscillators.
  • Uncertainty analysis: use bootstrap, covariance, and Bayesian tools to quantify error.
  • Model diagnostics: test residuals, compare models, and report high-quality fits.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Great course. Lots of valuable information.
WiltonCivil Firefighter

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