Some resources to get started:

Nuclear Physics:

Machine Learning and statistics:
 Drive folder for the FRIB TA Summer School 2023 on Machine Learning and Uncertainty Quantification.
 Awesome book on DataDriven methods for science and engineering. It contains a ton of modern computational methods with coding examples. The videos can be found here.
 Another awesome jupyterbook on dimensionality reduction applied to nuclear physics.

Important Math:
 Calculus by Khan Academy
 Linear Algebra by Khan Academy
 Incredible videos on calculus, linear algebra, and much more by three blue one brown.

Starting programing:
 Becoming a Git Guru. More on Github. Even more on Git Hub
 More suggestions accepted . We should have python and Github and perhaps something else.