From the Fundamentals to Real-World Data Analytics: Vol 1: A Practical Guide for Data Analysts

By Ms Emmanuella Mary Gwokyalya

From the Fundamentals to Real-World Data Analytics: A Practical Guide for Data Analysts

Many people learn data analytics, but few learn how to use it to solve real business problems. If you have studied Excel, SQL, Power BI, Python, R, statistics, or any other technical tools but still feel unsure how analytics works in real organizations, this book is for you.

From the Fundamentals to Real-World Data Analytics bridges the gap between theory and practice. Drawing from hands-on experience across multiple industries, this guide shows how data analysts actually work - from understanding stakeholder needs to building scalable workflows that support decision-making.

This is not a tool manual. It is a field guide for real-world analytics.

What You'll LearnHow to think like a professional data analystHow to translate business questions into analytical problemsA practical end-to-end data analysis workflowHow data ecosystems work (analysts, engineers, architects, and more)How to choose the right tools using the FRDA Tool Suitability FrameworkHow to clean, transform, and model real data using structured methodsHow to design metrics that support decision-makingHow to build scalable analytics practices - even in resource-constrained environmentsHow to grow your career with a structured learning path, including modern AI toolsWho This Book Is ForAspiring data analystsJunior to intermediate analystsProfessionals transitioning into data rolesStudents who know the fundamentals but need practical directionOrganizations building their analytics capabilityWhy This Book Is Different: Most analytics resources focus on tools.

This book focuses on:

Real business contextPractical decision-makingScalable workflowsLessons learned from real projects

It reflects the reality of working with messy data, limited resources, and high expectations - especially in growing and multi-country environments.

The Real Message: The future of analytics does not belong to those who know the most tools. It belongs to those who: Understand the problemChoose the right approachDeliver insights that drive action

If you are ready to move from learning analytics to doing analytics, this book will guide you there.

• Format: Paperback
• Language: English
• ISBN: B0GWFQN7MR
• ISBN13: 9798249325022
• Release Date: April 2026
• Publisher: Independently Published
• Length: 142 Pages
• Weight: 0.44 lbs.
• Dimensions: 0.3" x 6.0" x 9.0"