Authored by Mohammed Ali Sharafuddin

Textbooks & Teaching Materials

Books, course materials, and teaching systems, built for open use and designed to produce multiple output formats from a single source.

Data-Driven Management

Statistics for Managers

Under Review

A Quarto-based textbook and teaching suite for management students and practitioners. The first public release is being proofread ahead of a planned June 2026 launch, with the book, decks, datasets, and Moodle-ready teaching materials being finalised together.

HTML Book
Lecture Slide Decks
Companion Site
Worked Examples
Instructor Resources
Datasets
Moodle Package
Chapter 01: What Statistics Is and Why Managers Use It
Chapter 02: Descriptive and Inferential Statistics
Chapter 03: Populations, Samples, Parameters, Statistics, and Sampling Error
Chapter 04: Sampling Methods
Chapter 05: Types of Variables, Independent and Dependent Variables, and Measurement Scales
The teaching suite currently spans 27 chapters across 8 parts, from Foundations through Interpretation and Decision Use.
QuartoRRevealJSMoodleUnder Review

Applied Marketing Intelligence and Analytics Using R

Work in Progress

A Quarto textbook manuscript with datasets and teaching resources for marketing intelligence workflows in R. The current structure moves from foundations, data cleaning, and text analysis to campaign performance, network analysis, web and search analytics, customer segmentation, and A/B testing.

QuartoRMarketingTeaching ResourcesSimulated Data

AI-Powered Marketing Analytics

Applied Methods for Managers

Work in Progress

A Quarto textbook in active development on AI-augmented marketing analysis for managers. The current outline covers working with marketing data, customer understanding, campaign measurement, attribution, forecasting, AI-powered reporting, and an end-to-end case study.

QuartoMarketingAICC BY 4.0Zenodo DOI

Quantitative Analysis with Small Samples

A Practical Guide for Students and Early-Career Researchers

Work in Progress

A Quarto book on rigorous quantitative analysis with small samples, especially for education, health, business, social science, and Small Island Developing States contexts. The current plan covers exact and resampling methods, rank-based analysis, penalised and Bayesian regression, worked projects, and guided lab practicals.

QuartoRSmall SamplesResearch MethodsTeaching Labs

Published textbooks are released for open educational use, and the works in progress are being prepared for the same teaching-oriented release model. If you use Data-Driven Management in a course or workshop, a note to mohammedali.page@gmail.com is appreciated but not required.