AI-Powered Business Analytics
A Practical Textbook for Data-Driven Decision Making
AI-Powered Business Analytics
A Practical Textbook for Data-Driven Decision Making
From Data Fundamentals to Machine Learning — in Python and R
Bongo Adi
This book teaches you to apply artificial intelligence and machine learning to real business problems, using data, code, and clear explanations — no advanced mathematics required to get started.
It progresses from absolute basics — what data is, how to summarise it, how to test ideas — through to the full range of techniques used by professional data scientists and business analysts: forecasting, classification, clustering, text analysis, network analysis, and more.
Every concept is explained in plain language first. Every technique is implemented in both R and Python, with code you can run on your own computer. Case studies use real data from Nigerian and African business contexts — markets, financial institutions, agriculture, healthcare, and industry — so the examples are relevant and the problems feel real.
By the end of this book you will be able to:
- Build, interpret, and communicate predictive models
- Apply the full range of analytics methods used in modern organisations
- Work confidently in Python and R within RStudio or Positron
- Translate analytical outputs into business decisions
Turn to the Preface to understand how the book is structured, or go straight to Chapter 1 to set up your computing environment.