Data analysis in astronomy and physics  

to recognize different types of astronomy and physics data analysis problems how to translate these types of problems into a statistical model, and understand the limitations of the model how to implement the statistical model in Python using existing libraries and using real-world astronomical and physics datasets how to critically assess the numerical results, and quantify the uncertainties of the estimates and the predictions how to select the most optimal model how to visualize the dataset, the model parameters and their uncertainties, and predictions
Presential
English
Data analysis in astronomy and physics
English

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