“Data Visualization Mastery with Google Data Studio and R: A Hands-On Approach for Analysts and Storytellers”
A Practical Data Analytics Guide
Unlock the full potential of your data with this comprehensive, hands-on guide that blends the intuitive power of Google Data Studio with the statistical depth of R programming. Designed for analysts, business professionals, educators, and data enthusiasts, this book provides a step-by-step journey from raw data to compelling visual narratives.
Whether you’re crafting dashboards for executive decision-making or exploring statistical patterns for research, this book offers practical strategies, real-world use cases, and fully explained examples to help you master the art and science of data visualization. You will learn how to design interactive dashboards in Google Data Studio, automate workflows, integrate R for complex data manipulations, and bring clarity to your analysis through storytelling.
What You’ll Learn:
Fundamentals of data visualization theory and best practices
Creating and customizing insightful dashboards using Google Data Studio
Connecting diverse data sources and automating report generation
Performing advanced statistical analysis and visualizations in R
Integrating R visual outputs into Data Studio for enriched reporting
Telling impactful stories through data for different stakeholders
Why This Book:
In a world overloaded with information, the ability to communicate data effectively is a superpower. This book doesn’t just teach tools—it cultivates the mindset of a data storyteller. With hands-on projects, visuals, and actionable tips, this guide transforms you from a data handler to a data communicator.
Perfect for self-learners, educators, business analysts, data science students, and professionals looking to elevate their visualization skills across platforms.
“Data without visualization is like a story without words—this book helps you write your data story with clarity and impact.”
“Data Visualization Mastery with Google Data Studio and R”
Estimated delivery dates: Mar 9, 2026 - Mar 13, 2026
₹759.00 Save:₹40.00(5%)
Ms.Soumya G D is currently working as an Assistant Professor in the Department of Computer Science and Engineering at Presidency University, Bengaluru. She is pursuing her Ph.D. in Adversarial Machine Learning with a focus on IoT security. She holds an M.Tech degree from University Visvesvaraya College of Engineering (UVCE) and a B.Tech degree from Sapthagiri College of Engineering, Bengaluru. With over four years of academic experience, she has taught various undergraduate courses including .NET Full Stack Development, Problem Solving Using Java, and Data Communication and Computer Networks. Her research interests include cybersecurity, federated learning, deep neural networks, and intrusion detection systems. She has presented her work at international conferences and continues to contribute to the development of secure, intelligent IoT systems.Dr Thejaswini R M.E. Ph.D. is a seasoned academic leader with over 25 years of experience in teaching and research across India and Australia (Victoria University and Royal Melbourne Institute of Technology). Expertise in Computer Technology, Electrical & Electronics Engineering, and emerging technologies like AI & ML, Cyber Security, and IoT. Adept in leadership roles, including Dean, HOD, and placements.Dr. Riyazulla Rahman J, Ph.D. (Computer Science) Currently working as an Assistant Professor – Senior Scale in School of Computer Science Engineering & Information Science, Presidency University, Bangalore. He has Completed Ph.D. where he is interested in Area of IoT Sensors, Deep Learning and Machine Learning. His work has spanned various aspects of analyzing data, including the development of novel methods, the study of computational complexity, and the exploration of connections between Sensors and IoT Devices Raspberry Pi, Arduino Board with cloud servers.
Dr. I. Ambika, B.E., MTech., Ph.D. Currently working as an Associate Professor in the School of Computer Science and Engineering (Data Science) at Jain Deemed-to-be University, Bangalore. With a Master's Degree in Information Technology from Anna University Chennai and a Ph.D. degree from the same university, Dr. Ambika brings a strong academic foundation to her role. Her deep expertise lies in the domains of MANET, Computer Networks, IOT, Machine Learning, Deep Learning, and Blockchain Technology.
Dr. I. Ambika, B.E., MTech., Ph.D. Currently working as an Associate Professor in the School of Computer Science and Engineering (Data Science) at Jain Deemed-to-be University, Bangalore. With a Master's Degree in Information Technology from Anna University Chennai and a Ph.D. degree from the same university, Dr. Ambika brings a strong academic foundation to her role. Her deep expertise lies in the domains of MANET, Computer Networks, IOT, Machine Learning, Deep Learning, and Blockchain Technology.
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Additional Information
| Weight | 0.75 kg |
|---|---|
| Dimensions | 27.87 × 21.6 × 4.8 cm |
| Binding Type | Paperback |
| Languages | |
| Publishers |
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