https://coursehub-en.ai-term-hub.com/methodology/Evaluate ROI of 800+ online courses from Coursera, Udemy, edX, Pluralsight, DataCamp with completion rate, salary lift, and personalized ROI calculator.Hugo 0.140.0en-usCourseHub (CourseHub)CourseHub (CourseHub)Sun, 26 Jul 2026 00:00:00 +0000https://coursehub-en.ai-term-hub.com/methodology/confidence-model/Sun, 26 Jul 2026 00:00:00 +0000CourseHub (CourseHub)https://coursehub-en.ai-term-hub.com/methodology/confidence-model/<h1 id="confidence-model">Confidence Model</h1> <p>CourseHub assigns a confidence level to each course&rsquo;s ROI evaluation. This page documents the methodology.</p> <h2 id="three-confidence-levels">Three Confidence Levels</h2> <h3 id="high-confidence">High Confidence</h3> <ul> <li>Platform-published completion rate</li> <li>Verified salary data from LinkedIn, Glassdoor, or Levels.fyi</li> <li>Course data updated within 90 days</li> <li>Multiple data sources confirm the metrics</li> </ul> <h3 id="medium-confidence">Medium Confidence</h3> <ul> <li>Estimated completion rate based on similar courses</li> <li>Verified salary data from a single source</li> <li>Course data updated within 180 days</li> <li>Some parameters estimated</li> </ul> <h3 id="low-confidence">Low Confidence</h3> <ul> <li>Multiple estimated parameters</li> <li>Stale data (&gt; 180 days old)</li> <li>Salary data inferred from category averages</li> <li>Course newly listed with no completion data</li> </ul> <h2 id="confidence-score-calculation">Confidence Score Calculation</h2> <pre tabindex="0"><code>confidence_score = 0 + (1.0 if completion_rate_source == &#34;platform&#34; else 0.3) + (1.0 if salary_source == &#34;verified&#34; else 0.3) + (1.0 if data_age &lt; 90 days else 0.5 if &lt; 180 days else 0.2) confidence_level = &#34;High&#34; if score &gt;= 2.5 else &#34;Medium&#34; if score &gt;= 1.5 else &#34;Low&#34; </code></pre><h2 id="how-to-use-confidence-levels">How to Use Confidence Levels</h2> <ul> <li><strong>High confidence</strong>: ROI estimate is reliable; can be used for major investment decisions</li> <li><strong>Medium confidence</strong>: ROI estimate is reasonable; verify with primary sources before large investment</li> <li><strong>Low confidence</strong>: ROI estimate is rough; treat as a directional indicator only</li> </ul> <h2 id="improving-confidence">Improving Confidence</h2> <p>If you have access to better data sources for a specific course, please <a href="https://coursehub-en.ai-term-hub.com/contact/">contact us</a>. We update confidence levels as new data becomes available.</p>https://coursehub-en.ai-term-hub.com/methodology/data-sources/Sun, 26 Jul 2026 00:00:00 +0000CourseHub (CourseHub)https://coursehub-en.ai-term-hub.com/methodology/data-sources/<h1 id="data-sources">Data Sources</h1> <p>CourseHub aggregates data from multiple sources to compute ROI scores. This page documents each source.</p> <h2 id="course-metadata">Course Metadata</h2> <table> <thead> <tr> <th>Source</th> <th>Coverage</th> <th>Update Frequency</th> </tr> </thead> <tbody> <tr> <td>Coursera public catalog</td> <td>All listed courses</td> <td>Weekly</td> </tr> <tr> <td>Udemy API</td> <td>Top-rated courses</td> <td>Weekly</td> </tr> <tr> <td>edX API</td> <td>All listed courses</td> <td>Weekly</td> </tr> <tr> <td>Pluralsight catalog</td> <td>All listed courses</td> <td>Weekly</td> </tr> <tr> <td>DataCamp course list</td> <td>All listed courses</td> <td>Weekly</td> </tr> </tbody> </table> <h2 id="completion-rate">Completion Rate</h2> <table> <thead> <tr> <th>Source</th> <th>Method</th> <th>Confidence</th> </tr> </thead> <tbody> <tr> <td>Platform-published statistics</td> <td>Direct from MOOC reports</td> <td>High</td> </tr> <tr> <td>Industry research papers</td> <td>Academic studies on MOOC completion</td> <td>Medium</td> </tr> <tr> <td>CourseHub estimation</td> <td>Based on course difficulty, length, price</td> <td>Low</td> </tr> </tbody> </table> <h2 id="salary-lift">Salary Lift</h2> <table> <thead> <tr> <th>Source</th> <th>Coverage</th> <th>Update Frequency</th> </tr> </thead> <tbody> <tr> <td>LinkedIn Salary</td> <td>US job market</td> <td>Monthly</td> </tr> <tr> <td>Levels.fyi</td> <td>Tech industry</td> <td>Monthly</td> </tr> <tr> <td>Glassdoor</td> <td>Cross-industry</td> <td>Monthly</td> </tr> <tr> <td>BLS OES</td> <td>US Bureau of Labor Statistics</td> <td>Annual</td> </tr> <tr> <td>CourseHub estimation</td> <td>Category average for missing data</td> <td>Quarterly</td> </tr> </tbody> </table> <h2 id="pricing">Pricing</h2> <table> <thead> <tr> <th>Source</th> <th>Notes</th> </tr> </thead> <tbody> <tr> <td>Platform list price</td> <td>Captured weekly</td> </tr> <tr> <td>Promotional pricing</td> <td>Not included (uses list price)</td> </tr> <tr> <td>Subscription pricing</td> <td>Normalized to per-course equivalent</td> </tr> </tbody> </table> <h2 id="course-duration">Course Duration</h2> <ul> <li>Estimated from syllabus and module count</li> <li>Cross-referenced with platform-stated duration</li> <li>Includes video lectures, readings, assignments, and projects</li> </ul> <h2 id="confidence-assignment">Confidence Assignment</h2> <ul> <li><strong>High</strong>: Direct platform data + verified salary data + recent update (&lt; 90 days)</li> <li><strong>Medium</strong>: Estimated data + verified salary data OR direct data + estimated salary</li> <li><strong>Low</strong>: Multiple estimated parameters or stale data (&gt; 180 days)</li> </ul> <h2 id="see-also">See Also</h2> <ul> <li><a href="https://coursehub-en.ai-term-hub.com/methodology/roi-formula/">ROI Formula</a></li> <li><a href="https://coursehub-en.ai-term-hub.com/methodology/confidence-model/">Confidence Model</a></li> </ul>https://coursehub-en.ai-term-hub.com/methodology/roi-formula/Sun, 26 Jul 2026 00:00:00 +0000CourseHub (CourseHub)https://coursehub-en.ai-term-hub.com/methodology/roi-formula/<h1 id="roi-formula">ROI Formula</h1> <p>The CourseHub ROI formula quantifies the financial return of an online course.</p> <h2 id="formula">Formula</h2> <pre tabindex="0"><code>ROI = (expected_gain − total_investment) / total_investment × 100% where: expected_gain = baseline_salary × salary_lift × completion_rate total_investment = course_price + (duration_hours × hourly_rate) </code></pre><h2 id="worked-example">Worked Example</h2> <p>Consider a $49.99 course with these parameters:</p> <table> <thead> <tr> <th>Parameter</th> <th>Value</th> </tr> </thead> <tbody> <tr> <td>baseline_salary</td> <td>$60,000</td> </tr> <tr> <td>salary_lift</td> <td>+10%</td> </tr> <tr> <td>completion_rate</td> <td>70%</td> </tr> <tr> <td>course_price</td> <td>$49.99</td> </tr> <tr> <td>duration_hours</td> <td>40</td> </tr> <tr> <td>hourly_rate</td> <td>$30</td> </tr> </tbody> </table> <p>Computation:</p> <pre tabindex="0"><code>expected_gain = $60,000 × 0.10 × 0.70 = $4,200 total_investment = $49.99 + (40 × $30) = $1,249.99 ROI = ($4,200 − $1,249.99) / $1,249.99 × 100% = 236% </code></pre><h2 id="roi-score-0-10">ROI Score (0-10)</h2> <p>The ROI score normalizes ROI to a 0-10 scale:</p>