Some core parts of academia are not explicitly taught. The expectation is that academics learn these things "along the way". However, many of us lack resources and opportunities for this type of learning. For other core aspects of our work such as econometrics there are some fantastic resources online that do not appear to be common knowledge yet. Thus, here is a compilation of resources that have helped me or that I think could be helpful. Please email me if you discover that a link is broken, some credit is missing or wrong or most of all if I am missing the best resource you know.
The Ten Most Important Rules of Writing Your Job Market Paper by Claudia Goldin and Lawrence Katz - also applies to non-JMPs
Reverse Outlining a guide to reverse outlining by the Writing Center of U. of Wisconsin-Madison
Paper writing gone Hollywood by Jeffrey J. McDonnell in Science (2017)
Connected Papers is a great tool to get an overview of a new literature or to make sure no important reference was missed in the search.
scite_ a great tool to get a first impression whether a study is disputed or academic conesus
Free textbooks and resources on econometric methods with a causal inference focus
Paul Hünermund provides slides and code for his courses on his page
More resources on DiD by David McKenzie: Revisiting the Difference-in-Differences Parallel Trends Assumption: Part I Pre-Trend Testing
Free video resources on econometric methods with a causal inference focus
Other useful links
10 things to know about many topics relating to causal inference
DAGitty - a tool to draw DAGs and see testable implications, assumptions, etc. spelled out
EZgif - a simple free online tool to make animated gifs (e.g. same graph over time for a presentation)
Draw.io - a simple free online tool to make conceptual diagrams
Free resources regarding coding (mostly Stata and R)
Bryan S. Graham provides material from his courses on his webpage/Github. The focus is on network data.
An overview of multiple hypothesis testing commands in Stata by David McKenzie
Nick Huntington-Klein has several playlist covering Micro, Stata, R and Causality
Ashley Hodgson has several playlist including Micro, Health Econ and Identification Strategies
Similar lists by others
Huyen T.T. Nguyen provides a nice list regarding "NLP, Machine Learning & Deep Learning, Python, R and other related data retrieval topics".
The podcasts are listed in no specific order. Send me an email with your favorite econ related podcast.