What is this programme?
The Statistics for Business Decisions Certificate from ecertificate.pro is a self-paced online program of roughly 22 hours covering sampling, confidence intervals, hypothesis testing, and the separation of correlation from causation. It teaches how to size a sample before an experiment runs, how to read a p-value and an interval without overstating either, and how confounding, selection effects, and multiple comparisons produce conclusions that fail to replicate. Assessment is by module quizzes and applied tasks on supplied datasets, and the certificate is delivered inside the learner's private panel on ecertificate.pro, never as an email attachment. Every certificate carries a unique verification code that can be checked only in the ecertificate.pro database. This is an independent certificate: it is not government-approved, not officially accredited, and it grants no license, professional title, academic credit, or guarantee of employment. It documents completion of this specific program and nothing beyond that.
Who it is for
Analysts, product and marketing managers, and finance or operations staff who read and produce numbers every week, plus founders and team leads who commission analyses and need to judge whether the conclusion actually holds. Also useful for anyone preparing for analyst interviews that include an experiment-design, metrics, or "is this result real?" question.
What you will be able to do
- Size a study before it starts: choose a minimum detectable effect from business value, set the significance level and target power, and compute the observations required per group.
- Build and read confidence intervals for means and proportions, and state in plain language what an interval does and does not claim about the true value.
- Run and interpret the standard two-group comparisons — Welch's t-test, two-proportion z-test, chi-square for cross-tabs — and switch to a nonparametric alternative when the data are skewed.
- Design an A/B experiment with a defined randomization unit, fixed horizon, and guardrail metrics, and explain why stopping early on a promising reading inflates the false-positive rate.
- Diagnose the classic reasons a correlation is not causal: confounding, reverse causation, selection and survivorship effects, regression to the mean, and Simpson's paradox in aggregated tables.
- Apply quasi-experimental methods when randomization is impossible — difference-in-differences, matched comparison groups, and interrupted time series with a control series.
- Write a one-page decision memo that reports the effect size, its interval, the assumptions relied on, and the recommended action in language a non-technical reader can act on.
Modules
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1
Framing the Question and Choosing a Metric
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2
Sampling and Where the Data Came From
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3
Uncertainty: Standard Error, Intervals, Bootstrap
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4
Hypothesis Testing Without the Ritual
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5
Power, Sample Size, and Multiple Comparisons
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6
Designing and Reading A/B Experiments
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7
Correlation, Regression, and What They Do Not Prove
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8
Causal Claims from Observational Data and the Decision Memo
How it works
Learning format
Self-paced written material, downloaded from your dashboard. No fixed schedule and no live sessions — you work through it when it suits you.
Material delivery
Everything appears in your dashboard as soon as your payment is confirmed. Files are served only to your signed-in session.
Prerequisites
Comfort with spreadsheets (formulas, pivot tables, charts) and basic algebra. No prior statistics coursework is assumed and calculus is not used. Python examples are optional — every method is also shown in Excel or Google Sheets, so the program can be finished without writing code.
Completion
Each module ends with a short assessment plus an applied task on a supplied dataset — sizing a sample, computing an interval, or writing a one-paragraph read of an experiment result. After all modules and the final review are passed, the certificate is released to your private panel on ecertificate.pro for download.
Your certificate
Once your completion is confirmed, we prepare your certificate and upload it to your dashboard, normally within 24–48 hours. You receive an e-mail as soon as it is there — you never have to chase it.
Refunds
Because the material is delivered digitally and immediately, purchases are non-refundable once the files have been made available to your account. The full terms are in our Refund Policy.
