WGU Data-Driven-Decision-Making Exam Information and Actual Questions

  • Exam Code/Number: Data-Driven-Decision-Making
  • Exam Name/Title: VPC2Data-Driven Decision MakingC207
  • Certification Provider: WGU
  • Corresponding Certification: Courses and Certificates
  • Exam Questions: 125
  • Updated On: Aug 23, 2026

Data-Driven-Decision-Making
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WGU
Data-Driven-Decision-Making Exam
VPC2Data-Driven Decision MakingC207

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WGU Data-Driven-Decision-Making Exam Overview:

Certification Vendor:Western Governors University (WGU)
Exam Name:Data-Driven Decision Making
Exam Number:VPC2, C207, MGMT 6010
Available Languages:English
Related Certifications:Bachelor of Science in Business Administration
Master of Business Administration (MBA)
Master of Science in Management and Leadership
Exam Duration:120 minutes
Real Exam Qty:70–75
Certificate Validity Period:Valid while enrolled; competency remains permanent
Exam Price:Included in tuition / No separate fee
Passing Score:Competency-based (Pass/Fail)
Exam Format:Multiple-choice, Scenario-based, Conceptual & applied questions
Recommended Training:WGU Course Materials & Learning Resources
Statistical Analysis with Excel
Exam Registration:WGU Student Portal
Sample Questions:WGU Data-Driven-Decision-Making Sample Questions
Exam Way:Online proctored (Proctorio); remote, at-home delivery
Pre Condition:No prior exams required; open to all enrolled students in eligible programs
Official Syllabus URL:https://www.wgu.edu/courses/c207-data-driven-decision-making.html

WGU Data-Driven-Decision-Making Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Decision Models & Prescriptive Analytics15%- Decision trees, payoff matrices, expected value
- Quality & process improvement tools
- Optimization, sensitivity analysis
Topic 2: Foundations of Data-Driven Decision Making20%- Types of analytics: descriptive, predictive, prescriptive
- Ethics, privacy, and data governance
- Role of data in business decisions
Topic 3: Probability & Statistical Inference20%- Correlation vs. causation
- Hypothesis testing, p-values, confidence intervals
- Probability rules, distributions, expected value
Topic 4: Predictive Analytics & Regression20%- Forecasting & trend analysis
- Interpreting coefficients, R-squared, significance
- Simple & multiple linear regression
Topic 5: Statistical Concepts & Descriptive Analytics25%- Data types, measurement scales, sampling methods
- Measures of central tendency, dispersion, distribution
- Data visualization: charts, graphs, dashboards


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