Data Visualization with Microsoft Power Bi

The first book that delivers data viz best practices precisely for Power BI

This practical guide shows how to quickly create visualizations and build savvy dashboards, with 25 chapters that explore different chart types plus 40 visuals from the AppSource gallery, from default to advanced, all over 400 color pages.

Key features:

• Beautiful examples of charts, along with specific use cases
• Step-by-step instruction on how to set up visuals in the app
• Data preparation tips and tricks
• Quizzes to consolidate the learning material

Data Visualization with Microsoft Power BI is suitable for both experienced data analysts and nontechnical professionals in finance, sales, and marketing. Here's what's inside:

• Part 1: Classic visuals. Discover how to choose charts for basic types of analysis and avoid common mistakes, then learn how to set up interactions and put visuals together on a dashboard.
• Part 2: Trusted advanced visuals. Explore different options and data requirements for charts and diagrams including waterfall, bullet, Gantt, tornado, funnel, Sankey, and more.
• Part 3: Risky advanced visuals. Consider eye-catching charts that nonetheless may confuse the average user, examine use cases, and understand how to avoid pitfalls or suggest simpler alternatives.

You get "two in one":

• Data viz best practices, based on know-how cultivated over 15 years in the field of business intelligence
• Technical expertise along with clear guides and shortcuts derived from 300+ dashboards developed

Alex Kolokolov is an expert in Business Intelligence and dashboards. He is CEO and founder of Data2Speak Incorporated, a company providing data analytics services and consulting.

Alex has taught in MBA programs in the USA as part of the Fulbright Program at Florida Atlantic University and Key West University. With over 15 years of practice, Alex has set up hundreds of management reports in production, banks, and trading companies; he's experienced with software from Microsoft, Qlik, Tableau, and IBM. Based on this experience, he describes universal rules for visualization and working with the requirements of business customers.