Statistics for Business Analysts

About Course

Statistics for Business Analysts is a practical, Arabic-language course that gives you the statistical confidence to go beyond reporting — and into real analysis. You will learn how to describe data honestly, find relationships that matter, test whether results are real, and communicate findings that business leaders can act on.

No intimidating formulas. No abstract theory. No textbook examples that have nothing to do with your actual job.

Every concept is taught through real datasets — AHT, quality scores, sales revenue, advertising spend — the exact numbers you already work with every day. Every lesson ends not with a calculation, but with a business conclusion.

5 Modules. 20 Lessons. ~11.5 Hours of Content.
📐 Module 1 — Thinking Statistically — Build the mindset before the toolkit. Populations, samples, data types, and the language of statistical thinking.
📊 Module 2 — Descriptive Statistics — Mean, median, standard deviation, percentiles, IQR. Know exactly which measure to use — and when the average is the worst number you could report.
📈 Module 3 — Distributions & Visualisation — Understand the shape of your data. Normal distributions, histograms, box plots, skew, and outliers.
🔗 Module 4 — Relationships Between Variables — Correlation, scatter plots, and linear regression. Build predictive models and understand what the slope of a line is actually telling the business.
✅ Module 5 — Making Decisions with Data — Statistical significance, A/B testing, confidence intervals, and the 12 mistakes that destroy analytical credibility. This module alone is worth the entire course.

Course Content

Module 1: Thinking Statistically

1.1 Why statistics matters in business
1.2 Population vs. sample — what are you actually measuring?
1.3 Types of data — categorical vs. numerical
1.4 Variables: dependent, independent, and why it matters

Module 2: Descriptive Statistics — Summarizing Your Data

Module 3: Data Distributions & Visualization

Module 4: Relationships Between Variables

Module 5: Making Decisions with Data

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About Course

What Will You Learn?

Course Content

Module 1: Thinking Statistically

1.1 Why statistics matters in business

1.2 Population vs. sample — what are you actually measuring?

1.3 Types of data — categorical vs. numerical

1.4 Variables: dependent, independent, and why it matters

Module 2: Descriptive Statistics — Summarizing Your Data

2.1 Measures of central tendency — mean, median, mode

2.2 Measures of spread — range, variance, standard deviation

2.3 Percentiles and quartiles (IQR)

2.4 Practical exercise — summarizing a sales dataset

Module 3: Data Distributions & Visualization

3.1 What is a distribution? Normal vs. skewed data

3.2 Histograms, box plots, and when to use each

3.3 Outliers — how to detect and handle them

3.4 Frequency tables and cross-tabulations

Module 4: Relationships Between Variables

4.1 Correlation — what it is and what it is NOT

4.2 Reading a scatter plot like a BA

4.3 Introduction to regression — predicting with data

4.4 Practical example — sales vs. advertising spend

Module 5: Making Decisions with Data

5.1 What is statistical significance? (plain English)

5.2 A/B testing — the BA’s most important tool

5.3 Confidence intervals explained simply

5.4 Common statistical mistakes BAs must avoid

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