CIS 215F - Excel for Data Analytics and Big Data

    Recent Professors
    Aeron Zentner
    Recent Semesters
    Spring 2027
    Class Size
    30 students
    Difficulty
    6.0Demandingout of 10
    Credits
    3
    Spring 2027 Sections
    View Spring 2027 sections of CIS 215F
    Transfers To
    CSU
    Description
    54 hours lecture per term. This course provides students with a strong foundation of skills that are needed to become proficient in data analytics. Microsoft Excel is the ideal platform for students who are in the early stages of learning the fundamentals of data analytics. The ability to visually observe the architecture of several datasets in Excel is a great advantage when learning how to use data analytics techniques to produce solutions for both professional and personal projects. (Degree Credit) (CSU)