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Data Analytics A Hands-On Guide
A hands-on, method-first guide that takes you from “what is data?” to professional practice: cleaning, analysing, visualizing, and reporting data, then working with AI to do it faster. Clear thinking and honest numbers are the skills that outlast every tool.
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About
About the Book
Data is gold. Whoever can read it can read the future.
Data Analytics: A Hands-On Guide takes you from the most basic idea in the field, the difference between data and information, all the way to professional practice. You learn to clean thousands of messy rows, choose and run the right statistical test, visualize results honestly, write reports people act on, and work alongside AI to get it all done faster.
The book draws on more than twenty years of work in academic research, methodology consulting, and turning raw numbers into decisions. It is rigorous about method and relaxed in tone. Every chapter is practical and step by step.
What you will learn
- Foundations: what data really is, the data lifecycle, the analyst’s role, and data ethics and privacy
- Data quality: quantitative vs qualitative data, primary and secondary sources, scales of measurement, validity, reliability, and collection methods
- Preparation and cleaning: missing values, duplicates, outliers, and transformation, with Microsoft Excel from basic to advanced and Power Query to automate repetitive work
- Statistics and visualization: descriptive and inferential statistics, honest charts, and building a clear report
- Research methodology: quantitative, qualitative, and mixed designs, frameworks and indicators, sampling, interpreting results, and academic and business writing standards
- AI and the future of analytics: what AI can and cannot do, effective human + AI collaboration, and the skills that endure
- Your career: hard and soft skills, building a portfolio, remote work, and global standards
Who this book is for
Students, researchers, lecturers, and professionals in business, education, and government. It also suits career-changers who want a solid, portable data skill set that travels across industries and borders.
One message runs through every chapter: AI will not replace a good data analyst. It will replace the analyst who refuses to learn. This book shows you how to be the first kind.
Author
About the Author
Kompri Kompri
Kompri is an academic, author, investor, and educator based in Jambi, Indonesia. He holds a doctorate in Education Management and a bachelor’s degree in Physics, and has written and published dozens of books along with numerous other scholarly works. An avid reader, he is one of today’s most productive researchers. Alongside his academic career, he publishes both theoretical and practical books for readers around the world. His work rests on one conviction: knowledge is most valuable when it is clear, usable, and shared, so that anyone, in any country, can put it to work.
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