How We Actually Calculate Our 95% Certification Success Rate

A "95% success rate" is a meaningless number without knowing what it's a percentage of. 95% of everyone who enrolled? 95% of everyone who finished the course? 95% of everyone who actually sat the exam? Each of those denominators tells a wildly different story, and most institutes that advertise a headline number never show you which one they used. So here's ours, with the actual calculation shown, not just the final figure.

The calculation, in the open

def success_rate(enrolled, completed_course, sat_exam, passed_exam):
    """
    Returns three different percentages depending on which denominator
    you choose, because they are not interchangeable, and quoting
    the most flattering one without saying which it is isn't honest.
    """
    return {
        "pass_rate_of_sat_exam":   round(passed_exam / sat_exam * 100, 1) if sat_exam else None,
        "pass_rate_of_completers": round(passed_exam / completed_course * 100, 1) if completed_course else None,
        "pass_rate_of_enrolled":   round(passed_exam / enrolled * 100, 1) if enrolled else None,
    }

# A real cohort's numbers (one certification track, one enrollment period)
cohort = success_rate(
    enrolled=120,
    completed_course=104,   # some drop out before finishing, for reasons unrelated to the program
    sat_exam=98,            # some who finish choose to delay their attempt
    passed_exam=93,
)
print(cohort)

{'pass_rate_of_sat_exam': 94.9, 'pass_rate_of_completers': 89.4, 'pass_rate_of_enrolled': 77.5}

Why the gap between these numbers matters

Three defensible numbers, from the exact same cohort: 94.9%, 89.4%, 77.5%. All three are technically true. Only one of them, the pass rate of people who actually sat the exam, measures what most people assume a "success rate" measures: if you prepared and sat the exam with us, did you pass? The other two numbers answer different, also legitimate, questions, but they are not what the phrase "certification success rate" implies to a reader, and quoting the highest one without saying which denominator it uses is the exact pattern worth being suspicious of anywhere else you see this claim.

The headline "95%" figure on our own site uses the sat-exam denominator, averaged across multiple cohorts and certification tracks rather than a single one, which is why it differs slightly from the single-cohort example above. The point of showing this calculation isn't to argue our specific number, it's to show the method, so you can ask any institute, including us, to show theirs the same way.

What a dishonest version of this looks like

# The flattering-but-misleading version: pick whichever denominator is smallest,
# and never mention which one you used
misleading_number = passed_exam / sat_exam * 100  # looks the strongest, stated with no context

This is not a hypothetical. It is the single most common pattern behind inflated certification claims: a correct calculation, against a denominator chosen for how good it looks rather than for what it actually measures, presented without the denominator ever being named.

The question worth asking anyone who quotes you a number

"Is that out of everyone who enrolled, everyone who finished, or everyone who sat the exam?" Any institute with a real, verifiable number can answer immediately, because they calculated it once and know exactly what it measures. An institute that has to think about the question, or that gives you a vague restatement of the original percentage instead of naming a denominator, is telling you something worth paying attention to.

This is one specific piece of a larger pattern worth checking before you commit to any training provider, not just on the success-rate claim but across every claim on their homepage. If you're comparing institutes more broadly, here's a complete framework and scoring method for evaluating cloud training providers in Pakistan, built around exactly this kind of verifiable evidence rather than marketing copy.

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I wrote up the complete picture of what our certification success rate actually measures, how it's tracked, and why we publish the methodology rather than just the headline number, over here: Sherdil IT Academy: Why a 95% Certification Success Rate Matters.

Has an institute ever actually shown you their denominator when you asked? What happened? Drop it in the comments. 👇