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Physics Data Analysis Course

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

What will I learn?

Gain expertise in handling physics data through practical exercises. You will model damped oscillations, use signal processing techniques and filters, and manage noisy time-series data effectively. Practice nonlinear fitting, assess uncertainties, perform model diagnostics, and conduct thorough residual analysis. Develop reproducible workflows, create clear visualizations, and produce concise technical reports suitable for publication or review.

Elevify advantages

Develop skills

  • Time-series preprocessing: efficiently clean, resample, and detrend noisy physics data.
  • Signal processing: implement FFT, filters, and wavelets to derive key physical parameters.
  • Model fitting: perform nonlinear least squares and robust fitting for damped oscillators.
  • Uncertainty analysis: apply bootstrap, covariance matrices, and Bayesian methods for error quantification.
  • Model diagnostics: evaluate residuals, compare competing models, and deliver superior fit reports.

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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