This is a 23-part course which will teach you Python 3 from scratch. It's designed to be very hands-on, and each new concept is followed with demonstrations, examples and exercises. You don't need to have any previous knowledge of programming or Python! Here's a brief description of what you should expect from this course: The first few tutorials cover basic Python concepts like strings and lists.

In this course, you will review the mathematics background required for data science and machine learning. In the first half, we will review linear algebra and statistics . In the second half, we will review probability . This course is not meant to be a full-length course on linear algebra, statistics and probability. Instead, it focuses on the sub-topics which are relevant for data science and m

This 45-part course consists of tutorials, quizzes, hands-on assignments and real-world projects to learn data science, as well as advanced python tools for data science. Key Features of the Course 10+ portfolio projects and 150+ exercises to give you a lot of practice and build fluency. Most of the tutorials are available in three different formats -- video, long article and bite-sized cards -- s