Data Visualization with Tableau 2019.x in Practice

Tableau is a widely used data analytics and visualization tool that many consider indispensable for data-science-related work. Its drag and drop interface makes it quite easy to sort, compare, and analyze data from multiple sources, including Excel, SQL Server, and Cloud-based data repositories.

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

About The Author

Colibri Digital is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as big data, data science, machine learning, and Cloud computing. Over the past few years, they have worked with some of the world’s largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the World’s most popular soft drinks companies, helping each of them to better make sense of its data, and process it in more intelligent ways. The company lives by its motto: Data -> Intelligence -> Action.

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

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