UNI 4010V

DAU Courses

iCatalog Home UNI 4010V Data Science
(Last Modified:17-Mar-2021)


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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 O-4/O-5 seasoned acquisition professionals in the career fields of engineering, test & evaluation, program management, and financial management/cost estimating.
    One of the following:
  • BCF 301, Business, Cost Estimating, and Financial Management Workshop
  • BCF 331, Advanced Concepts in Cost Analysis
  • ENG 302, Advanced Systems Engineering
  • PMT 360, Program Management Office Course, Part B
  • STM 304, Leadership in Science and Technology Management
  • TST 303, Advanced Test and Evaluation
  • Predecessor Course(s) (Acceptable as a substitute for this course until the acceptance date specified below.)
    Predecessor Predecessor Course Title PDS Code Accepted Until
    None None None None
    Course Length
    30 student hours, over the course of 5 weeks (see Notes)
    Additional Course Information
    Delivery Mode Virtual Instructor Led Training
    Equivalent Courses N/A
    ACE Recommended Credits N/A
    PDS Code B3G
    DAU Public (material/prework) N/A
    Continuing Education Units   0
    Continuous Learning Points  30
    Reservist Retirement Points  0
    Historical Allocations Mouse Over for Past CEU/CLPs
  • This course is restricted to DoD employees. Walk-ins NOT authorized.
  • Virtual classes are conducted via Cisco Webex/MS Teams.

  • Course design:
  • 2 Virtual instructor-led (VILT) sessions in weeks 1-3 (Mon-Wed 12:30-4:00pm; optional office hours avail on demand)
  • 1 VILT session weeks 4-5 (Mon 12:30-4:00pm)
  • Weekly assignments between live sessions