You woud not find a top programmer, web developer, or AI engineer who does not use version control. This is true because version control helps developers produce better results and makes collaboration easy. Around the world, in teams both large and small, Git is an essential part of the toolchain. This module covers Git and Github.

In the second module of the program, students will learn about basic programming concepts such as lists, dictionaries, classes, functions and loops, and practice writing clean and readable code with exercises for each topic. Students will also learn how to make programs interactive and how to test code safely before adding it to a project. It is a fast-paced, thorough introduction to programming with Python 3.6 that will have students writing programs, solving problems, and making things that work in no time.

In this module, students will be introduced to Anaconda, the leading open data science platform powered by Python. The open source version of Anaconda is a high performance distribution of Python and R and includes over 100 of the most popular Python and R packages for data science, such as NumPy, Matplotlib, etc.

In this module, students will learn key concepts and techniques used to perform data science; including statistical analysis, data cleansing and transformation, and data visualization with Python.

Before implementing deep-learning algorithms, students will first become familiar with the mathematical blocks of the neural networks theory. Students will get a chance to get their hands dirty writing some simple Keras code right away! Then they will move on to advanced deep learning concepts. This module will also cover some essential advantages of Keras to prove it’s the deep-learning library of choice. This is true because version control helps developers produce better results and makes collaboration easy. Around the world, in teams both large and small, Git is an essential part of the toolchain. This module covers Git and Github.