Data visualization is one of the utmost importance in the modern business world where data is increasingly used for decision making. Tableau 2019 one of the most popular fast growing, powerful, and self-service Business Intelligence (BI) and data visualization tools. Data Visualization with Tableau helps your insights come compellingly alive and communicates complex ideas simply. Expressive visualization enables you to get beyond static charts to create multi-faceted views of data and explore every dimension. Each section of this course will tackle problems faced in specific areas of data visualization and analysis with Tableau.

This comprehensive 4-in-1 course is a step-by-step guide to exploring best practices in Tableau 2019 for better productivity. Initially, you’ll connect a variety of data sources with Tableau 2019.x and build creative visualizations for providing better data insights. Next, you’ll work with expert tools and tips to improve your Tableau performance and save time and effort. You’ll also design and create dashboards and implement Dashboard actions. Finally, you’ll troubleshoot an interactive dashboard and optimize it to tell a story.

By the end of the course, you’ll master Tableau 2019.x to unleash data-driven insights. Get hands-on experience with real-life Data Analytics.

Contents and Overview

This training program includes 4 complete courses, carefully chosen to give you the most comprehensive training possible.

The first course, Tableau in 7 Steps, covers how to visualize your data using Tableau in just a week. This course will help you unravel the potential of Tableau in seven easy steps. You will create and deploy meaningful and visually appealing dashboards in seven steps. This course covers the latest features of data preparation in Tableau. You will create table calculations, stunning charts, and informative storyboards for a better understanding of your data.

The second course, Tableau Tips, Tricks, and Techniques covers how to explore best practices in Tableau 2019 for better productivity. n this course, you will discover best practices that you didn’t even know existed, and with which you can increase your efficiency and productivity while using Tableau for your daily tasks. Each section covers exciting tips, tricks, and techniques for efficient data visualizations in Tableau 2019 that you can apply in real-world scenarios to help your work get easier and help you become more efficient in your projects. You will learn how to make your visualizations look more visually appealing by adding customizations. You will also cover the new features introduced in Tableau 2019 and how it simplifies the way you use Tableau for your data science and BI requirements. By the end of the course, you will be able to use Tableau 2019 in a highly efficient manner, having mastered its best practices.

The third course, Data Visualization with Tableau 2019.x in Practice, covers mastering Tableau 2019.x to unleash data-driven insights. Get hands-on experience with real-life Data Analytics. This course explains the core fundamentals of Tableau Desktop 2019.x in practice. Using the IBM HR-Analytics Dataset, you'll learn to connect to various data sources, summarize data, and create, manipulate, and share data visualizations, including highlight tables, charts, scatter plots, histograms, maps, dashboards, and much more. Finally, you'll learn to deliver data-driven insights and take path-breaking business decisions. You'll complete the course by solving a hands-on challenge on the IBM HR-Analytics Dataset. Not only that, you can publish your solution on Tableau Public—under Packt's challenge - IBM Attrition Rate Analysis—so everyone can search, and learn from, the variety of approaches taken. After finishing the course, you'll be a highly proficient Tableau user. You'll be able to use your skills as a data scientist to extract knowledge and relevant insights from data by analyzing and visualizing it into useful KPI's

The fourth course, Troubleshooting Tableau, covers troubleshoot an interactive dashboard and optimize it to tell a story. You will start by learning ways to add data by connecting to various types of data sources and resolve issues in Tableau Desktop. Then you'll prepare and wrangle your data to make it consistent and easy to work with. Next, you will organize data, use filters to investigate your visualizations and share the data. You will then aggregate data and explore functions and LOD expressions to create a calculated field. Lastly, you will troubleshoot an interactive dashboard and optimize it to tell a story.

By the end of the course, you’ll master Tableau 2019.x to unleash data-driven insights. Get hands-on experience with real-life Data Analytics.

About the Authors

• Sylvester Pinto works with two very distinct technology specializations. These are Tableau and R to deliver data analytics and visualizations. He has years of experience as a trainer in data analytics and visualization. Professionally, he has been delivering Tableau-based solutions for various business divisions for the past five years. He has been delivering data analytics with R for more than four years, as this technology is the best and the fastest-growing statistical programming languages on the market and will continue to be well into the future.

• Ana Yin is an experienced Tableau Certified Trainer and Senior Consultant at Tridant Pty Ltd, based in Sydney, Australia. Starting out as a student of Architecture before swapping this for a Business degree, her passion for the Arts (backed up by a strong business acumen) makes her the “go-to” for clients who need expert advice on how to leverage data for effective storytelling and decision making. 80% of the time, she is involved in dashboard development for clients, setting design principles and best practice. As for the other 20%, she conducts Tableau Classroom Training across the Asia Pacific region. Outside work, she has always been an avid traveler, language buff, and a lover of good food.

• Avdhesh Gaur has 5 years' work experience with Tableau Desktop, implementing various business requirements by building data-driven Business Intelligence models using SQL, Hive, Tableau, and other statistical data analysis techniques. He focuses on transforming data into visualizations to help people understand their business operations more visually. Avdhesh Gaur has had submissions to Tableau accepted and placed in its permanent public knowledge database. His submissions focused on optimizing Tableau dashboards to balance appearance/functionality with efficiency/speed. Apart from this, he is deeply passionate about sharing his experience to help others learn.

• Arash Shadkam is a Data Storyteller, Tableau- Featured Author (2018) and graduate researcher at the University of British Columbia in the Civil Engineering department, focusing on building health monitoring dashboards for mechanical equipment in buildings. He is a big fan of data and loves helping people unlock the value in their data and tell a story with it. He has implemented a number of end-to-end visualization projects ( acquisition-cleansing-analysis-visualization) for different clients, including the public sector and start-ups, that have enabled them to make well-informed decisions.