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 […]

In such a course, the participants acquire both basic and high-level knowledge about one of the most powerful and widely-used programming languages: Python. The course would cover such essentials as data types, control structures, functions, object-oriented programming, and error handling, besides libraries and frameworks for concrete tasks: data analysis using Pandas and NumPy, web development […]

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 […]