Step into the realm of data visualization with this exhaustive, practice-driven guide designed for learners across all expertise levels. This 400+ page book bridges the gap between theoretical understanding and hands-on execution, showcasing recent tools and methodologies for impactful visual storytelling. Whether you’re a novice or a seasoned data analyst, this book offers everything you need to excel in creating compelling visuals.
Comprehensive Guide to Data Visualization: Hands-On Practices: (A Practical Guide to Mastering Data Visualization Tools and Techniques from Basics to Advanced)
Estimated delivery dates: Mar 12, 2026 - Mar 17, 2026
₹749.00
Mr. Pakruddin .B, B.E., MTech, (Ph.D.) Currently working as an Assistant Professor in the Department of Computer Science & Engineering, School of CSE & IS, Presidency University, Bangalore. He is Pursuing a Ph.D. where he is interested in Digital Image Processing, Machine Learning and Deep Learning. His work has spanned various aspects of Deep Learning, including the development of novel algorithms or models. He passion for teaching and mentorship is evident through his extensive experience as a university professor. He has taught courses on Machine Learning, Deep Learning, Image Processing, Computer Graphics, Computer Networks, Programming languages, Data Handling and Visualization, Frontend Full stack development at both Undergraduate and Post graduate levels. He has around 16 Years of experience in the field of Teaching. Mr. Pakruddin .B has authored numerous research papers, articles, and book chapters in the field of computer science.
Dr. Akshatha Y, B.E., MTech, Ph.D., is currently serving as an Assistant Professor-Selection Grade in the Department of Computer Science & Engineering at the School of CSE & IS, Presidency University, Bangalore. She has completed her Ph.D. in the domain of Deep Learning, with her research focusing on the development of innovative algorithms and models in this field. Dr. Akshatha is deeply passionate about teaching and research, bringing nearly 10 years of academic experience to her role. She has taught a wide range of courses, including Machine Learning, Deep Learning, Image Processing, Computer Networks, Programming Languages, Operating System at both undergraduate and postgraduate levels. Additionally, she has authored numerous research papers, articles, and book chapters in the field of computer science.
Mr. Imran Ulla Khan, B.E., M.Tech, (Ph.D.), is an Assistant Professor in the Department of Computer Science & Engineering at Sri Krishna Institute of Technology, Bangalore. He is pursuing his Ph.D. at REVA University, with research interests in Image Processing, Deep Learning, Large Language Models (LLMs), and Web Development. A tech enthusiast with a passion for coding, he has been a resource person for numerous technical workshops and training programs across various engineering colleges. With over 16 years of teaching experience, he has contributed to the academic community by publishing research papers in reputed national and international journals and presenting at various conferences.
Mr. Praveen Pawaskar, B.E., M.Tech, (Ph.D.) Currently working as an Assistant Professor in the Department of Computer Science & Engineering, School of CSE & IS, Presidency University, Bangalore..
Mr. Praveen Pawaskar is currently pursuing a Ph.D. with a keen interest in Computer Architecture, Organization, Embedded Systems, Web Design, and Development. His work encompasses various facets of machine learning, including the creation of innovative algorithms and models. His passion for teaching and mentorship shines through his extensive experience as a university professor. Over his 18-year career in education, he has taught a wide range of courses at both undergraduate and postgraduate levels, including Operating Systems, Programming in C, C++, Python, Computer Organization, and Web Design and Development. Additionally, Mr. Praveen Pawaskar has authored research papers, articles, and book chapters in the field of computer science.
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| Weight | 0.97 kg |
|---|---|
| Dimensions | 27.87 × 21.6 × 3.8 cm |
| Binding Type | Paperback |
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