Here are some resources for learning data science if you have Python experience. If you haven't coded in any language then perhaps see Learn to Code, in Python. Or if you do code but want to get up to speed on Python, maybe try Learn Python (or search frequently). And please contact us if you have suggestions.
The University of Michigan's course on Applied Data Science with Python Specialization comes highly recommended by some microprediction participants.
The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data.
Google's Python Class was created by Nick Parlante. this is a free class for people with a little bit of programming experience who want to learn Python. The class includes written materials, lecture videos, and lots of code exercises to practice Python coding. These materials are used within Google to introduce Python to people who have just a little programming experience. The first exercises work on basic Python concepts like strings and lists, building up to the later exercises which are full programs dealing with text files, processes, and http connections. The class is geared for people who have a little bit of programming experience in some language, enough to know what a "variable" or "if statement" is. Beyond that, you do not need to be an expert programmer to use this material.
This is the Century of Statistics (just ask Jeb Bartlett). Your time has not been wasted.