Hi, Tim.
Thanks for the additional information about your situation and your goals. It sounds like taking the developer path is the way to go. You will want to learn python in one way or another. There are various ways to go about that either on Coursera or elsewhere. Once you’ve gotten python added to your toolkit, then the recommendation would be to do the Machine Learning Specialization (MLS) here followed by the Deep Learning Specialization (DLS).
MLS is an introduction to Machine Learning that introduces you to a number of different types of ML algorithms.
DLS is a more advanced set of courses that covers all the major types of Deep Neural Networks and gives you lots of examples of the types of problems that can be addressed with different Neural Network architectures.
With that as background, you will have a good picture of what’s possible with ML and can then consider what problems you can solve using the data that you have.
Note that MLS and DLS do not really deal with how to prepare data for use with ML algorithms. That is a separate topic under the general heading of Data Science. They have just introduced a new course from DeepLearning.AI that gives an introduction to Data Science. Definitely worth a look, although I personally have not yet checked what it covers.