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Mastering Data Visualization with Power BI and Tableau A Hands-on Guide to Interactive Dashboards and Business Analytics

Author(s): Prof. Anjana H S Prof. K. Padmaja Prof. Ashwini R
882

  • Language:
  • English
  • ISBN13:
  • 9789369262243
  • ISBN10:
  • 9369262245
  • Format:
  • Paperback
  • Trim:
  • 8.5x11
  • Pages:
  • 459
  • Publication date:
  • 14-Aug-2026

  •   Available, Ships in 3-5 days
  •   10 Days Replacement Policy

Mastering Data Visualization with Power BI and Tableau A Hands-on Guide to Interactive Dashboards and Business Analytics is a practical, hands-on guide to transforming complex data into clear, interactive, and insightful visualizations. It introduces readers to the core concepts of data visualization, dashboard design, and business analytics using two leading tools: Microsoft Power BI and Tableau. Through practical examples and step-by-step guidance, the book covers data preparation, interactive dashboards, charts, reports, and analytical techniques. Ideal for students, business professionals, analysts, and aspiring data scientists, this book helps readers build meaningful dashboards and make data-driven decisions with confidence.

Prof. Anjana H S

Prof. Anjana H S

Anjana H. S. is an Assistant Professor at East West Institute of Technology, Bengaluru, and a Ph.D. scholar at VTU, Belagavi. With over 10 years of teaching experience, her interests include Deep Learning, Artificial Intelligence, Machine Learning, and Data Analytics. She actively mentors students in projects, internships, and research-based learning.
Prof. K. Padmaja

Prof. K. Padmaja

Prof. K. Padmaja is an Assistant Professor in the Department of Information Science and Engineering at East West Institute of Technology, Bengaluru, with over 14 years of teaching experience. Her academic interests include Data Analytics, Data Visualization, and Machine Learning.
Prof. Ashwini R

Prof. Ashwini R

Ashwini R is an Assistant Professor at East West Institute of Technology, Bengaluru, and a Ph.D. scholar at VTU, Karnataka. Her research spans Machine Learning, Blockchain, IoT, Data Analytics, Security, and Privacy. She is experienced in teaching emerging technologies, curriculum development, laboratory design, and mentoring students through practical, project-based learning.

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