747 Computing & IT courses

Are you fascinated with Netflix and YouTube recommendations and how they accurately recommend content that you would like to watch? Are you looking for a practical course that will teach you how to build intelligent recommendation systems? This course will show you how to build accurate recommendation systems in Python using real-world examples.

This course will help you understand the fundamentals of data analysis with Python and Pandas library.

This course is perfect for quality assurance professionals who want to step into automation testing with Cypress. You will learn Cypress from scratch and become a specialist in building a solid Cypress automation framework to test any real-world web application.

This course focuses on Python 3 and uses modern Python 3.7 and Python 3.8. It is designed to support Python application development on Windows, macOS, and Linux. As Python 2 is no longer maintained by the Python development team, and there are no more security updates, the focus has now shifted to using Python 3.

Create a Gatsby.js Progressive Web App with GraphQL, React, and WordPress and add JAMstack to your skills

Throughout this course, you will learn everything you need to know about linear and non-linear regression, regression modeling, and Stata. By the end of this course, you will be able to understand and be confident in interpreting complex types of data using Stata.

Get started with using linear algebra in your data science projects

A comprehensive yet concise course with over six hours of premium content, where we will build one complete real-world Flutter app from scratch while learning the framework and the dart language. By building the iOS Reminder app, a fully functional cross-platform app for both iOS and Android, we will develop a strong foundation in Flutter and become intermediate developers.

This course will help you get started with automation testing of web applications. You will cover the basic and advanced topics of Selenium and Python, along with unit tests, pytest, cross-browser testing, logging infrastructure, automation framework design, Jenkins, and a lot more.

Take your first step toward Natural Language Processing with this beginner-to-pro course. Gain an in-depth understanding of deep learning models for NLP with the help of examples. Learn the essential concepts from the absolute beginning with complete unraveling along with examples in Python.