Introduction to Data Science and Supervised Machine Learning by Udacity

This course is for data analysts who want to apply machine learning. You will begin with an introduction to the fundamental concepts and processes that differentiate data science from other fields. Then you will dive deeper into machine learning algorithms, including underlying math concepts like gradient descent, ensemble models like random forests, and an introduction to neural networks and deep learning. Once you can harness these algorithms, you will apply model evaluation techniques for both accuracy and fairness. The course culminates with advice for effectively communicating findings to stakeholders. Your final project will involve building a machine learning model and writing a blog post about your analysis, to build your data science portfolio.