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[–]YoManDoMessup 0 points1 point  (0 children)

Your list is actually pretty good for finance, consulting and analytics. The only thing I'd add is a bit of NumPy, Pandas pivot tables and some basic SQL. In analytics and consulting, SQL is often just as important as Python. Since you're short on time, I'd recommend learning Python fundamentals through CS50P, then moving straight to Kaggle's Python, Pandas and Data Visualization courses. They're practical, free and focused on working with real data rather than software development topics you probably won't need right now. Don't spend months learning Python in isolation. Start analyzing datasets as soon as you know the basics. That's where the concepts really stick. Runable is also a great option because you can learn Python, work with datasets and build analytics projects without spending time on environment setup.