Book Image

Tableau Certified Data Analyst Certification Guide

By : Mr. Harry Cooney, Mr. Daisy Jones
Book Image

Tableau Certified Data Analyst Certification Guide

By: Mr. Harry Cooney, Mr. Daisy Jones

Overview of this book

The Tableau Certified Data Analyst certification validates the essential skills needed to explore, analyze, and present data, propelling your career in data analytics. Whether you're a seasoned Tableau user or just starting out, this comprehensive resource is your roadmap to mastering Tableau and achieving certification success. The book begins by exploring the fundamentals of data analysis, from connecting to various data sources to transforming and cleaning data for meaningful insights. With practical exercises and realistic mock exams, you'll gain hands-on experience that reinforces your understanding of Tableau concepts and prepares you for the challenges of the certification exam. As you progress, expert guidance and clear explanations make it easy to navigate complex topics as each chapter builds upon the last, providing a seamless learning experience—from creating impactful visualizations to managing content on Tableau Cloud. Written by a team of experts, this Tableau book not only helps you pass the certification exam but also equips you with the skills and confidence needed to excel in your career. It is an indispensable resource for unlocking the full potential of Tableau.
Table of Contents (11 chapters)

What This Book Covers

Chapter 1, Connecting to Data, introduces you to data source connections in Tableau. This includes the types of data sources that can be connected to and the configuration options when doing so.

Chapter 2, Transforming Data, takes you over the complete suite of tools and methods for transforming data with Tableau. Both Tableau Desktop and Tableau Prep data transformation methodologies are covered, as well as the data types available in Tableau. You will come out of the chapter with an understanding of how to clean and prepare data sources so that they are ready for analysis.

Chapter 3, Calculations, provides a detailed walk-through of the calculated field logic available in Tableau. Basic calculations are broken up by the data type they relate to. All available table calculations are described and fixed level of detail calculations are explained in terms of functionality.

Chapter 4, Grouping and Filtering, teaches you how to structure and filter data with Tableau. Tableau’s set, bin, group, and hierarchy functionalities are covered along with filtering methods and how to improve interactivity using parameters.

Chapter 5, Charts, covers how data can be visualized into charts, which is Tableau’s primary functionality. All relevant chart types are listed with explanations for the required setup along with additional chart-related functionality and analytical features.

Chapter 6, Dashboards, provides you with a detailed breakdown of how to combine multiple charts into a single piece of analysis primarily through dashboards but also using Tableau’s story feature. How to combine multiple charts in a dashboard is covered along with the types of objects that can be included on a dashboard and the available interactivity options.

Chapter 7, Formatting, walks you through how to apply formatting at a workbook level, including adding custom color palettes and shapes, formatting options available for individual charts, and how to customize the look of dashboards.

Chapter 8, Publishing and Managing Content, provides you with an introduction to publishing and managing content on Tableau Cloud. Once data has been presented in a visual format via charts, dashboards, or stories, the analysis needs to be shared with end users. This chapter covers how to share content as well as how to keep data fresh for end users.