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Professional Certificate in Business Analytics

Data-Informed Decision Making
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Can you describe the difference between these two sentences?

1

The average company in the USA hires 6 HR professionals.

2

The USA company hires 6 HR professionals on average.

This course shows you exactly how and why they are different and why that matters.

Prefer to learn at your own pace with no structure? The same core concepts are free on YouTube.
This certificate adds guided sections, quizzes, a personal viva, and a verifiable credential.

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~3 hrs Video Content
3 Modules Self-Paced
15 min Viva with Dr. Kruti
$150 Certification Fee

What You Will Learn in This Course

Business reports often get read without the insights being challenged. This course changes that.

  • Understanding how the same number can support opposite conclusions based on data collection methods.
  • Separating dashboard dazzles from deeper insights using your own data and asking the right questions.
  • Identifying patterns that emerge from statistics as being real or just a reflection of poor data collection.
  • Reevaluating decisions when a sample is too small, too biased, or too narrow to support implementation.
  • Applying probability methods to email campaigns, staffing levels, pricing decisions, and inventory risk.

Who Is This Course For

Data tools have made numbers easier to produce. They have not made them easier to interpret.

  • You sit in rooms where reports drive decisions and you want to be the person who asks the right question, not just accepts the number on the slide
  • You work with dashboards, forecasts, and performance data and you know that reading a number and understanding it are not the same thing
  • You make decisions that affect budgets, staffing, pricing, or campaigns and you want those decisions to be defensible

This course is not about calculation. It is about knowing what a number means before you act on it.

Why Get the Certificate?

All content is based on Dr. Kruti's published book, Introduction to Business Statistics, with original examples, custom graphics, and scripts written exclusively for this course.

Content & Introduction

Want to explore the core concepts first? Watch the free playlist on YouTube — no login, no structure, no credential.

01

Collecting & Organizing Data

  • Sampling methods
  • Frequency distributions
  • Data collection & organization
  • How to reduce biases in decision-making
02

Interpreting Averages & Variability

  • Mean, median, range, variance, standard deviation
  • What each measures and why outliers matter
  • How to compare across teams, periods, segments, or divisions
03

Probability for Business Decisions

  • How to define events correctly
  • Probability rules and conditional probability
  • When to trust your gut when the math says otherwise

Sample Examples

Email Campaigns

Your email open rate is 16.7%. Sending a 3-email sequence means only 4 or 5 in every 1,000 clients open all three and those are your most likely buyers. Who you target matters more than how many emails you send.

The skill: reading joint probabilities correctly before committing to a campaign strategy.

Digital Advertising

90% of customers who watched your ad bought the product. But only 12% saw the ad at all. Bayes' reasoning shows fewer than half of all buyers were actually influenced by it. The rest came through other channels.

The skill: not confusing a high conversion rate with broad attribution.

Reading Business Reports

Your sales data shows a 40% conversion rate this quarter. But the data only captured customers who responded to a follow-up survey. The customers who did not respond are not in your numbers at all.

The skill: identifying when the data collection method has already decided what the data will show.

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