Learn Tableau by working through concrete examples and issues that you are likely to face in your day-to-day work. Author Shankar Arul starts by teaching you the fundamentals of data analytics before moving on to the core concepts of Tableau. You will learn how to create calculated fields, and about the currently available calculation functionalities in Tableau, including Basic Expressions, Level of Detail (LOD) Expressions, and Table Calculations. As the book progresses, you'll be walked through comparisons and trend calculations using tables. A concluding chapter on dashboarding will show…mehr
Learn Tableau by working through concrete examples and issues that you are likely to face in your day-to-day work.
Author Shankar Arul starts by teaching you the fundamentals of data analytics before moving on to the core concepts of Tableau. You will learn how to create calculated fields, and about the currently available calculation functionalities in Tableau, including Basic Expressions, Level of Detail (LOD) Expressions, and Table Calculations. As the book progresses, you'll be walked through comparisons and trend calculations using tables. A concluding chapter on dashboarding will show you how to build actionable dashboards to communicate analysis and visualizations. You'll also see how Tableau can complement and communicate with Excel.
After completing this book, you will be ready to tackle the challenges of data analytics using Tableau without getting bogged down by the technicalities of the tool.
What Will You Learn Master the core concepts of Tableau Automate and simplify dashboards to help business users Understand the basics of data visualization techniques Leverage powerful features such as parameters, table calculations, level of detail expressions, and more Who is This book For Business analysts, data analysts, as well as financial analysts.
Shankar Arul holds a Masters in industrial engineering from Virginia Tech, USA and an MBA in Finance from ESSEC, France. He has more than 15 years of hands-on experience in the field of Data Visualization and data science. Having faced the frustrations of Business users in data-driven decision making, in companies such as BNP, Apple, Groupon and Kering, he decided to enable the Business users with the power of data visualization and Tableau through this book.
Inhaltsangabe
Chapter 1: Introduction
Chapter Goal: The need for data visualization tools such as Tableau for business users
No of pages 4
Sub -Topics
1. Why visualize data
2. Who is this book for
3. How is this book different
Chapter 2: Installation and Setup
Chapter Goal: Onboard readers with the setup of tableau.
No of pages: 3
Sub - Topics
1. Installation of tableau
2. Data sources required for the exercises
Chapter 3: Fundamentals of Data
Chapter Goal: Gentle introduction to the fundamentals of data
No of pages : 6
Sub - Topics:
1. Data types
2. Data sources
3. Data preparation
4. Converting business questions to the language of data
Chapter 4: The Crux of Tableau
Chapter Goal: Distillation of the core concepts of Tableau
No of pages: 17
Sub - Topics:
1. 4 Building pillars
2. Putting it all together
3. Show me
3. Sheets & Dashboards
Chapter 5: Calculations
Chapter Goal: Enrich the data by creating calculated fields
No of pages: 16
Sub - Topics:
1. Grouping Values
2. Calculated Fields
3. Row level, Aggreation & Dis-Aggregation
4. Bringin more data
5. Importance of Cardinality
6. Data Modeling
Chapter 6: Tables & Table Calculations
Chapter Goal: Comparisons and trend calculations through tables
No of pages: 15
Sub - Topics:
1. Show me or start from scratch ?
2. Table totals
3. Table calculations
4. Sorting
Chapter 7: Advanced Tips
Chapter Goal: Advanced functionalities of Tableau
No of pages: 15
Sub - Topics:
1. Dynamic Inputs - Parameters
2. Top 10/20/50 filters
3. Dual Axis
4. Shapes & Icons
5. Level of detail calculations
6. Reference lines & forecast
7. Order of operations
Chapter 8: Dashboards
Chapter Goal: Bring it all together by enabling users to build interactive dashboards