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UNI 4010V Data Science





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iCatalog Home UNI 4010V Data Science
(Last Modified:06-Jan-2022)

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Description
This is a George Mason University course provided via DAU with GMU professors. Data science is the study of data in support of decision-making. It includes statistics, big data, data analytics, data visualization and machine learning. Understanding data science and analytics is an essential component to decision-making and problem solving. Program and technical leaders taking this course will develop:
  • an innovative mindset to using big data;
  • a strong combination of foundational concepts, deep technical savvy, and hands-on experience.

    Topics include: data mining, information technology, statistical modeling, predictive analytics, risk analysis, and data visualization.
  • Objectives
    Download Course Objectives
    Target Attendees
    NH-III/IV and equivalent defense acquisition workforce members, including engineering, test & evaluation, program management, and financial management/cost estimating career fields.
    Prerequisite(s)
    See Notes
    Predecessor Course(s)
    Predecessor Predecessor Course Title PDS Code Expires On
    None None None None
    Course Length
    30 student hours, over the course of 4 weeks (see Notes)
    Additional Course Information
    Delivery Mode Virtual Instructor Led Training
    Equivalent Courses N/A
    ACE Recommended Credits N/A
    PDS Code B3G
    Walk-ins Authorized No
    Pre-work required No
    First Offering 6/7/2021
    Continuing Education Units   0
    Continuous Learning Points  30
    Reservist Retirement Points  0
    Historical Allocations Mouse Over for Past CEU/CLPs
    Fulfillment Eligible N/A
    Technical Requirements Click Here
    Notes
  • This course is restricted to DoD employees. Walk-ins NOT authorized.
  • Virtual classes are conducted via MS Teams Education.

  • Course design:
  • 2 Virtual instructor-led (VILT) sessions each week (Mon-Wed 12:30-4:00pm; optional office hours avail on demand)
  • Weekly assignments between live sessions