“Some aspects of science, taken at the broadest level, are universal in empirical research. These include collecting, analyzing, and reporting data. In each of these aspects, errors can and do occur.” – Issues with data and analyses: Errors, underlying themes, and potential solutions – PNAS 2018.
Experimental Errors and Error Analysis
Propagation of Error
Recommended Software/Apps for Data & Error Analysis (Data Science)
Jupyter (Data Science Notebook, Python, R, Julia, etc)