WGU – C207: Data-Driven Decision Making

Course Structure

Assessments:

• 2 Performance Assessments (PAs):

  • Task 1: Linear regression analysis and hypothesis formulation

  • Task 2: Decision tree analysis and evaluation

• 1 Objective Assessment (OA): Multiple-choice test covering statistical concepts and data interpretation

Estimated Time to Complete:

• Tasks: 5–10 days

• OA: 1–3 weeks of study

• Total: ~2–4 weeks

Adam’s Tips

• Students fall into two camps: data nerds who breeze through, and the rest of us on the “struggle bus.”

• Complete the two tasks before attempting the OA — this builds foundational knowledge.

• Each student downloads a custom Excel dataset using their WGU ID.

• The Express Cohort videos are lifesavers — especially modules 2 and 3.

• The OA isn’t just about definitions. You’ll need to understand relationships between test types, keywords, and visual tools (e.g., p-value, r-squared, scatter plots, histograms).

Steps to Complete the Course

Task 1: Linear Regression Analysis

Steps:

1. Formulate a simple, testable hypothesis.

2. Download your student-specific Excel dataset.

3. Conduct a linear regression analysis in Excel.

4. Create a data visualization (e.g., scatterplot with trendline).

5. Write a clear report addressing each rubric requirement.

Adam’s Tips:

• Use a T-test if you're unsure — it’s the easiest to explain.

• Avoid stating causation. Instead of “X causes Y,” say “X correlates with Y.”

• Stick to the rubric and include all charts and data outputs.

Task 2: Decision Tree Analysis

Steps:

1. Use the Excel template to input data and build a decision tree.

2. Calculate expected values for each option.

3. Write a report discussing probabilities, assumptions, and decisions made.

Adam’s Tips:

• Consistency matters: don’t mix annual and monthly data.

• Clearly explain any assumptions you make.

• Use the Decision Tree PowerPoint for structure and formatting tips.

Objective Assessment (OA)

Key Topics:

• Types of data: Nominal, Ordinal, Interval, Ratio (NOIR)

• Tests: T-tests, ANOVA, regression, chi-square

• Tools: Control charts, Pareto, histograms, scatter plots

• Concepts: p-values, standard deviation, correlation vs. causation

Study Plan:

• Watch all Express Cohort and “Are You Smarter Than a C207 Grader?” videos.

• Use Quizlet sets and flashcards.

• Take the pre-assessment, identify weak spots, and focus review.

• Use AI tools (like ChatGPT) to quiz yourself on concepts, not just answers.

Community Tips

• Don’t skip the cohort recordings — they clarify confusing rubric points.

• Revise your submissions — almost everyone gets at least one revision.

• Flashcards are key: Students recommend creating or using 80–100 for OA prep.

• If the OA feels like a trick test, that’s intentional — learn the language of the questions and know how to identify the correct statistical test.

Third-Party Resources

• Studocu Examples (remember your numbers will be different)

• “Are You Smarter Than a C207 Grader?” Jeopardy Review (in course videos)

• Quizlets for C207

• Dr. J. Michael’s C207 Study Guide

• YouTube – WGU C207 How to pass (my video)

Final Notes

This course can feel like drinking from a data firehose, but it's manageable with consistent study and the right tools. Know the why behind each statistical method, and the OA will start to click. Don’t overthink — just follow the rubrics and keep moving.

Study Guide Source

Compiled from over 40 pages of community-shared tips, reviews, and cohort guidance.

You Got This!

Whether you’re a spreadsheet ninja or learning this from scratch, keep going. One formula, one task, one flashcard at a time — you’ve got this!

Disclaimer

This guide was compiled using AI and community input. Always double-check against current WGU policies and course materials. This resource is unofficial and for support purposes only.