Books, course materials, and teaching systems, built for open use and designed to produce multiple output formats from a single source.
A Practical Guide for Students and Early-Career Researchers
A published open textbook on rigorous quantitative analysis for small samples. Covers exact and resampling tests, nonparametric methods, penalised and Bayesian regression, missing data, and five worked R projects across 18 chapters. Free to read under CC BY 4.0. DOI: 10.5281/zenodo.20221929
Digital Campaign Strategy, Open Marketing Analytics, and Responsible AI
A Villa College course textbook (DMS505) teaching digital marketing as an evidence-to-decision system: audience research, measurable objectives, persuasive content, channel strategy, measurement, automation, and responsible AI use. Every chapter provides open-source or free-access practice routes. Publishing on a rolling basis: Weeks 1–3 of 15 are live now, covering digital population research, classic-to-digital planning, and persuasive visual design.
Statistics for Managers
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. Spans 27 chapters across 8 parts.
Applied Methods for Managers
A twelve-chapter, five-part marketing analytics textbook in proofreading ahead of publication, the applied companion to Data-Driven Management, covering customer analysis, campaign measurement, attribution, forecasting, and AI-assisted reporting for decision-makers.
From Constructs to Conclusions Using R
A large-format survey-research textbook in proofreading, covering the full workflow from constructs, hypotheses, and instrument design through data quality, modelling, interpretation, and reproducible reporting in R. Forty-one chapters across fourteen parts, the most methodologically broad line in the catalogue.
Published and rolling-release textbooks are released for open educational use, and the works still in proofreading 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.