306 Computer Science (CS) courses delivered Online

Bring data to life with the D3.js data visualization library, and get up to speed with JavaScript, HTML, and CSS to build stunning data visuals

This course is a perfect supplement for ML enthusiasts. If you are only just beginning your adventures in machine learning and want to know the basics of statistics and regression used for machine learning, then go for it. Discover how you can level up and gain confidence to implement statistical methods and regression in machine learning with Python.

Learn the Ruby programming language and JavaScript coding from beginner to intermediate for web development - fast!

This course starts with the basics of Recurrent Neural Networks (RNNs) with Python and then teaches you how to build them by taking you through various exercises and projects. You will be able to test your skills by completing two exciting projects: creating an automatic book writer and a stock price prediction application.

Writing modern web applications with a rich UI can be tedious. Blazor gives us .NET developers the chance to leverage our C# skills and build interactive web UIs. In this course, you will gain the ability to build web applications using Blazor. We will explore setting up your first Blazor application; how to work with an API; how data binding works; how to create components and integrate JavaScript components.

Build a strong foundation in intermediate Android development to leverage what you already know about Android. If you are looking for a course that takes your pre-existing Android knowledge to the next level, then this is definitely the course for you. We'll take you through all you need to know in order to become an intermediate to advanced Android developer.

This course is designed for beginners or anyone who wants to get started with Python-based face recognition. In this course, you will learn how to perform face detection from images, face detection from real-time videos, emotion detection, age-gender prediction, face recognition from images and real-time videos, and more!

This course starts with the basics of data science and gradually moves towards explaining the concepts of machine learning and various data science algorithms.

In this course, we will start with extremely basic concepts such as learning the programming language fundamentals and other supporting libraries. Then we will proceed with the core topics with the help of real-world datasets to gain a complete understanding of deep learning using Python and Keras.

This video course introduces you to the world of Rust programming. You'll learn about the Rust ecosystem, tools, primitive types, and control flow, and gain knowledge of how real-world applications are actually developed in Rust.