Computer Literacy Courses

Weber State University now offers six non-credit, online, self-paced courses for you to expand your computer literacy skills. You will have unlimited access to video-based instruction and work-based projects and assessments. You can start and finish each course at your own pace within a six-month window. Free for faculty, staff and active students of WSU.

If you are not a current staff, faculty member or active student of Weber State, please go to the Community Education site to register for these courses.


WSU Staff, Faculty and Active Students
  • Using a Computer
    You will learn how to use computers, email and operating systems. You will also learn basic components of Windows, the Internet, file and folder management, information security, ethics... Read More
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  • Using Microsoft Word 1*
    You will learn basic skills in Microsoft Word including creating, editing and retrieving documents; copying, pasting and formatting text; inserting and placing graphics; spell checking,... Read More
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  • Using Microsoft Excel 1*
    You will learn the basic tools you need to use and understand Microsoft Excel. You will learn to create, enter and format data in a spreadsheet. You will be able to change and format in... Read More
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  • Using Microsoft PowerPoint 1*
    You will learn the basics of Microsoft PowerPoint including how to create presentations and use design templates and elements like titles, bulleted lists, clipart and animated GIFs. Stu... Read More
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  • Using Microsoft Excel 2*
    You will develop your Microsoft Excel skills by learning to format tables, enhance and print charts and maps, use advanced functions and use Excel to manage multiple files and worksheet... Read More
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  • Using Microsoft PowerPoint 2*
    You will learn how to modify an existing presentation using bullets, format painter, master slides and style checker. You will also learn how to incorporate images like clipart, bitmap ... Read More
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  • Introduction to R
    Install and use R and RStudio, and differentiate between them. Store data in vectors, matrices and data frames. Summarize data using descriptive statistics. Create frequenc... Read More
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