Top Courses at HyperionDev

Find the perfect course for you at HyperionDev. We’ve selected 4 of HyperionDev’s most popular courses. View the course catalog at hyperiondev.com

  • Web Development & Software Engineer

    In this advanced course that combines instruction in full stack development and software engineering, students learn the most often used languages and frameworks. Students learn how to manage the front and back ends of a website, create software applications, and manipulate data. Some of the topics include HTML, CSS, SCSS, JavaScript, Java, and SQL, as well as PHP and the MERN stack.

    Locations:
    • Live Online
    • R93 729,96
    • 6 Months, 20 hr/wk
    • See provider
    • Beginner
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  • Web Development

    This course shows students how to build data-driven web applications with HTML, CSS, JavaScript, Node.js, MongoDB, Express, and React. Students take a close look at how JavaScrip relates to HTML and CSS, and how to use jQuery, which is a JavaScript DOM library. The goal of this class is for students to be able to build their own websites.

    Locations:
    • Live Online
    • R60 229,13
    • See provider
    • See provider
    • Beginner
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  • Software Engineering

    In this course, students apply beginning and advanced Java and Python skills to apply to computer science, data science, and software engineering principles. Instructors provide education in Python, Java, Object-Oriented Programming, and machine learning. Participants in this course learn about algorithms, pseudocode, how to add “if”, “else,” and “elif” statements, and store complex data.

    Locations:
    • Live Online
    • R60 229,13
    • See provider
    • See provider
    • Beginner
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  • Data Science

    Starting with an introduction to programming with Python, students also learn how to define and call functions that accept parameters and return values. Additionally, students gain knowledge of Object-Oriented Programming topics, such as abstraction, encapsulation, inheritance, and polymorphism. Participants will use data science libraries such as scikit-learn, NumPy, Matplotlib, and pandas. Other topics in this course center on the subject of natural language processing.

    Locations:
    • Live Online
    • R60 229,13
    • See provider
    • See provider
    • Beginner
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showing 4 of 4 courses