Data science is a course of study whereby one learns how to scrutinize and interpret complex data to make informed business insight and decision-making. Other key topics that include data cleaning, statistical analysis, machine learning, data visualization, and big data technologies form part of this course of study.

The course develops digital skills for search engine optimization, pay-per-click advertising, content marketing, social media, email marketing, and web analytics. Participants learn how to develop and execute effective digital marketing strategies, optimize online campaigns, and measure performance by using tools such as Google Analytics, Facebook Ads, and email platforms.

They learn how to create both the front and back ends of any web application. It covers an expansive spectrum of technologies, covering not only front-end development like HTML, CSS, JavaScript, Angular, and React but also the server-side languages, like Node.js, Python, and PHP for the back-end. They learn databases—both SQL and NoSQL—and both Git […]

The Software Testing training provides all knowledge and skills to test the functionality, performance, and security of software applications. All testing methodologies, from manual testing to automation testing and different levels of testing like unit, integration, system, and acceptance testing, are covered in this course. Participants learn about the design of test cases, identification of […]

Java training provides complete knowledge of the most widely used programming language all around the world. Course details will include core ideas about OOP, data types, control structures, exception handling, and multi-threading. More advanced-level ideas like JavaFX, JDBC (Java Database Connectivity), and Spring Framework will also be a part of training sessions. Participants learn efficient, […]