Data is transforming every industry-and the ability to analyse and interpret it has become an essential skill for students, professionals, and decision-makers.
Introduction to Data Analytics: Concepts, Tools, and Applications provides a practical, step-by-step guide to understanding how data can be transformed into meaningful insights and informed decisions. Written in clear, accessible language, the book takes readers from foundational concepts to real-world applications without assuming prior knowledge of programming or advanced mathematics.
Covering key topics such as data collection, statistical analysis, visualisation, Excel, SQL, Python, machine learning, artificial intelligence, and big data, this textbook combines theory with hands-on practice through worked examples, case studies, exercises, laboratory activities, and mini projects.
Whether you are a student preparing for a career in business, management, technology, or analytics-or an educator seeking a structured and application-oriented resource-this book offers the knowledge and practical skills needed to build confidence in data-driven decision-making.
Learn to ask better questions, analyse information effectively, and turn data into actionable insights.
