Data Analytics Course

With businesses relying on data to drive their decision-making, the need for professionals with analytics skills only continues to grow. This data analytics course provides an immersive learning experience with training on essential tools for the analysis process, including Excel, SQL, Tableau, and Python. Throughout your data analytics training, you will learn how to work with structured data, create visualizations from your findings, and build predictive models to help solve problems.

You will leave this data and business analytics course with portfolio-ready projects that demonstrate your real-world abilities. The course exercises and capstone project provide experience that translates directly to entry-level roles in data and business analytics. Upon completion, you will be prepared to pursue careers as data or business analyst or even pursue more training, such as sitting for certification exams in Excel or Tableau.

Brian McClain

Brian McClain is a senior instructor and program director at Noble Desktop, where he teaches Python, data science, machine learning, and AI courses. His expertise covers several programming languages (including Python, R, and SwiftUI) and advanced frameworks (SQL, Flask, and OpenAI technologies). Brian holds certifications as a New York State Instructor of Computer Applications and a Licensed Private Career School Teacher. He earned his Bachelor's degree in Political Science from Duke University.

Colin Jaffe

Colin Jaffe is a programmer and curriculum developer at Noble Desktop. He has taught coding and software development at Noble Desktop as well as various other educational institutions. Colin's teaching focuses on algorithmic thinking, application logic, and practical frameworks such as React and Python. His professional background includes front-end development and data analytics, and he brings creativity to technical instruction, shaped by his experience as a self-taught programmer.

Dan Rodney

Dan Rodney is a coder, designer, and instructor with over 25 years of experience creating coursework and leading innovative training initiatives at Noble Desktop. He's taught employees from major corporations as well as individuals wanting to break into tech and design. Dan has been at the forefront of integrating AI into design and business workflows, spearheading Noble Desktop's latest AI course offerings.

Requirements:

Hardware Requirements:

• This course can be taken on either a PC or Mac. Chromebooks are not compatible.

Software Requirements:

• PC: Windows 10 or later.
• Mac: macOS 12 or later.
• Browser: The latest version of Google Chrome or Mozilla Firefox is preferred. Microsoft Edge and Safari are also compatible.
• Microsoft Word Online
• Adobe Acrobat Reader
• Google Colab
• Microsoft Excel - Free trial available
• DBeaver
• Tableau Public
• Software must be installed and fully operational before the course begins.

Other:

• Email capabilities and access to a personal email account.

Instructional Material Requirements:

The instructional materials required for this course are included in enrollment and will be available online.