My advisor (Jill Venton)'s electrochemistry lecture on YouTube. She taught FSCV and Fundamental Electrochemistry Chapter 1-6 of the Bard & Faulkner textbook in a concise fashion.
Introduction to Computer Science and Programming Using Python MOOC (MIT's edX equivalent of 6.001) for the introductory Python programming with a mild introduction of algorithmic thinking.
Introduction to Computational Thinking and Data Science MOOC (MIT's edX equivalent of 6.002) for more advanced concept of algorithmic thinking and data science.
Foundation of Data Science textbook (UC Berkeley's Data 8) for introduction of Python, data visualization, and statistical methods.
Principles and Techniques of Data Science textbook (UC Berkeley's Data 100) for intermediate level continuation of the Data 8.
Machine Learning MOOC by Stanford's Andrew Ng. (some MATLAB and basic calculus/linear algebra background will be helpful)