I work as a statistician in a big pharma company. Our department is filled with mid to senior level statisticians that have done more traditional statistics work for the majority of their careers. Everyone has at least an MS in statistics and 5 years of experience. People program almost entirely in SAS, but a few use R. We typically use GLMs, set up sampling plans and are responsible for planning and analyzing DoEs.
Our department found extra money for training that we can have if we use it by the end of the year. I was looking for recommended training programs/certifications/coursework which would be good for this group of people that is recognized in the industry. I am looking for something that could provide an appropriate level of detail for modern machine learning techniques, as it seems the world is moving in that direction. Obviously, we’re probably a bit behind in the software side, but can handle the math portions. Im hoping for outcomes anywhere between conversational to practitioner of the new techniques, depending on the level of work the statistician is willing to put into the coursework.
Field is new and work from a year ago is already outdated and consequently so are most textbooks. It’s hard to make a fundamentals course even as they continue to change. Best thing to do is read the crap out of the literature and learn pytotch or jax
Check out an online platform called UpLimit. They offer several data science classes aimed at this with live video lectures+discussion. And project-driven learning with Colab notebooks or similar. For your background the Applied Machine Learning course might be especially good — it focused on best practices and getting ML projects to actually work well on real data instead of just teaching you more model math.