Learning

Machine Learning and Statistical Methods for Astronomical Data Analysis

Python for Scientific Computing → Capstone Project: Applying ML to Astronomical Data

This graduate-level path equips astrophysics students with the statistical and machine learning skills needed to analyze complex astronomical datasets. It covers Bayesian inference, MCMC, deep learning, classification, regression, dimensionality reduction, and survey data analysis, with a focus on practical Python implementation.