Build, design, and improve advanced business intelligence solutions using Tableau’s latest features, including Tableau Prep Builder, Tableau Hyper, and Tableau Server
Key Features
Master new features in Tableau 2021 to solve real-world analytics challenges
Perform geo-spatial, time series, and self-service analytics using real-life examples
Build and publish dashboards and explore storytelling using Python and R integration support
Book DescriptionTableau is one of the leading business intelligence (BI) tools that can help you solve data analysis challenges. With this book, you will master Tableau's features and offerings in various paradigms of the BI domain.
Updated with fresh topics including Quick Level of Detail expressions, the newest Tableau Server features, Einstein Discovery, and more, this book covers essential Tableau concepts and advanced functionalities. Leveraging Tableau Hyper files and using Prep Builder, you’ll be able to perform data preparation and handling easily. You’ll gear up to perform complex joins, spatial joins, unions, and data blending tasks using practical examples. Next, you’ll learn how to execute data densification and further explore expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions. You’ll also learn about improving dashboard performance, connecting to Tableau Server and understanding data visualization with examples. Finally, you'll cover advanced use cases such as self-service analysis, time series analysis, and geo-spatial analysis, and connect Tableau to Python and R to implement programming functionalities within it.
By the end of this Tableau book, you’ll have mastered the advanced offerings of Tableau 2021 and be able to tackle common and advanced challenges in the BI domain.
What you will learn
Get up to speed with various Tableau components
Master data preparation techniques using Tableau Prep Builder
Discover how to use Tableau to create a PowerPoint-like presentation
Understand different Tableau visualization techniques and dashboard designs
Interact with the Tableau server to understand its architecture and functionalities
Study advanced visualizations and dashboard creation techniques
Brush up on powerful self-service analytics, time series analytics, and geo-spatial analytics
Who this book is forThis book is designed for business analysts, business intelligence professionals and data analysts who want to master Tableau to solve a range of data science and business intelligence problems. The book is ideal if you have a good understanding of Tableau and want to take your skills to the next level.
Author Biography:
Marleen Meier has been working in the field of data science since 2013. Her experience includes Tableau training, proof of concepts, implementation, enablement as well as quantitative analysis, machine learning and AI. In 2018, she was a speaker at the Tableau conference, where she showcased an anomaly detection model using neural networks, visualized in Tableau. David Baldwin has been providing consulting in the business intelligence sector for 22 years. His experience includes Tableau training and consulting, developing BI solutions, project management, technical writing, and web and graphic design. His vertical experience includes financial, healthcare, human resources, aerospace, energy, education, government, and entertainment industries.