Step 0, Learn Python Stop searching “What language should I learn for data science?” on the internet. I am telling you. Python. End of the story. If you don’t know Python (like me when I started) start with this Coursera Specialization. https://www.coursera.org/specializations/python For data science and AI, you need to complete the two first courses: Getting Started with Python and Python Data Structures B. Yes, that’s all you need. Don’t waste more time on other modules that you won’t use normally. Step 1, Learn Pandas Now, you need to learn a Python library that gives you the ability to load and manipulate data. So, learn Pandas. I am suggesting to watch this video series from Data School. This series has about 20–25 videos that teach you the most important Pandas skills. https://www.youtube.com/watch?v=yzIMircGU5I Step 2, Learn Machine Learning After finishing this video series, I recommend you to take this Coursera Specialization: Applied Data Science with Python | Coursera The 5 courses in this University of Michigan specialization introduce learners to data science through the python… www.coursera.org Personally, I recommend you to take only courses 1, 2, and 3 from this specialization. Again, I am trying to save your time and encourage you to dedicate your time and energy to the most important concepts. Step 3, STOP and only exercise for a few weeks By reaching this step, you should have been exhausted from learning. For a few weeks, STOP learning started participating in a few competitions by Kaggle (a competition platform for machine learning and AI). I cannot tell you how much better you learn data science and machine learning by exercising rather than reading and listening. Probably the best competition for starting is Titanic Competition (a classification problem).