Some things I knew that helped my career and skillset, and some things I wish I knew earlier.
Statistics
- Penn State: Introduction to probability theoryI cannot oversell this! It is clear, well-organized and sticks with you.Click here for probability theory and here for other topics like correlation, regression, hypothesis testing.
Model fitting (particularly MCMC because a ton of people struggle with it - I did too - but I promise it gets better ;))
- MCMC DemonstrationA well-articulated and organized demo for beginnersClick here.
- Prof. Kipping's talk on MCMCIt is wonderful even if you are familiar with MCMC and a great starting point if you aren'tClick here.
- MCMC SamplersTwo useful MCMC samplers to suit your coding styleClick here to check out emcee and here to check out SAM
LaTeX
- OverleafA very friendly and collaborative online editorClick here.
- For equationsEasily doodle your equations and get the LaTeX scriptClick here.
- Other resourcesClick here.
Courses
- Analyzing the UniversePlatform: CourseraExcellent for undergrads, gives you a first experience with SAO DS9, a useful astronomical imaging and data visualization applicationClick here.
- The Evolving UniversePlatform: CourseraA great intro to cosmology courseClick here.