Tableau: Creating Interactive Data Visualizations: Creating Interactive Data Visualizations
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Imported Edition - Ships in 18-21 Days
Free Shipping in India on orders above Rs. 500
Illustrate your data in a more interactive way by implementing data visualization principles and creating visual stories using Tableau
Key Features:
- Use data visualization principles to help you to design dashboards that enlighten and support business decisions
- Integrate your data to provide mashed-up dashboards
- Connect to various data sources and understand what data is appropriate for Tableau Public
- Understand chart types and when to use specific chart types with different types of data
Book Description:
With increasing interest for data visualization in the media; businesses are looking to create effective dashboards that engage as well as communicate the truth of data. Tableau makes data accessible to everyone; and is a great way of sharing enterprise dashboards across the business. Tableau is a revolutionary toolkit that lets you simply and effectively create high-quality data visualizations.
This course starts with making you familiar with its features and enable you to develop and enhance your dashboard skills; starting with an overview of what dashboard is; followed by how you can collect data using various mathematical formulas. Next; you'll learn to filter and group data; as well as how to use various functions to present the data in an appealing and accurate way.
In the first module; you will learn how to use the key advanced string functions to play with data and images. You will be walked through the various features of Tableau including dual axes; scatterplot matrices; heat maps; and sizing.In the second module; you'll start with getting your data into Tableau; move onto generating progressively complex graphics; and end with the finishing touches and packaging your work for distribution. This module is filled with practical examples to help you create filled maps; use custom markers; add slider selectors; and create dashboards. You will learn how to manipulate data in various ways by applying various filters; logic; and calculating various aggregate measures. Finally; in the third module; you learn about Tableau Public using which allows readers to explore data associations in multiple-sourced public data; and uses state-of-the-art dashboard and chart graphics to immerse the users in an interactive experience. In this module; the readers can quickly gain confidence in understanding and expanding their visualization; creation knowledge; and quickly create interesting; interactive data visualizations to bring a richness and vibrancy to complex articles.
The course provides a great overview for beginner to intermediate Tableau users; and covers the creation of data visualizations of varying complexities.
What You Will Learn:
- Customize your designs to meet the needs of your business using Tableau
- Use Tableau to prototype; develop; and deploy the final dashboard
- Create filled maps and use any shape file
- Discover features of Tableau Public; from basic to advanced
- Build geographic maps to bring context to data
- Create filters and actions to allow greater interactivity to Tableau Public visualizations and dashboards
- Publish and embed Tableau visualizations and dashboards in articles
Who this book is for:
Data scientists who have just started using Tableau and want to build on the skills using practical examples. Familiarity with previous versions of Tableau will be helpful; but not necessary.
Nandeshwar, Ashutosh: - Ashutosh R. Nandeshwar has extensive experience in data mining, machine learning, and information visualization. He is one of the few analytics professionals in the higher education industry who have developed analytical solutions for all stages of the student lifecycle (from recruitment to giving). He enjoys speaking to technical and non-technical audiences about the power of data as well as ranting about data professionals' chasing of "interesting" things. He received his PhD/MS from West Virginia University and BE from Nagpur University, all in Industrial Engineering. You can follow him on Twitter, @n_ashutosh, and on his website, http: //www.nandeshwar.info.
Ohmann, Ashley: - Ashley Ohmann started her career in technology as a Flash and HTML developer at the Emory University School of Medicine while studying Classics as an undergraduate at Emory University. After learning how to write SQL to help create a fraud detection system for a client, she pursued information management and data analytics as a vocation. While working for a multinational manufacturing company, she was asked to evaluate Tableau Desktop and Tableau Server; consequently, her team became one of the first to implement the suite of tools for their enterprise. Ashley's career with Tableau's products has included work as a consultant, trainer, and a professional services practice director. She is a frequent contributor to the San Francisco and Phoenix Tableau User Groups. A native of Highlands, NC and Atlanta, GA, Ashley is a proud alumna of Rabun Gap Nacoochee School. She also studied German and Chemistry at Mount Holyoke College before graduating from Emory. Ashley's roots go back to south Georgia; she grew up listening to the stories of her large extended family, which inspired her to spend her career helping other people learn how to tell their own stories using a variety of media. Currently, she lives in the Pacific Northwest with her family, where they enjoy skiing, the beauty of God's great creation, and practicing permaculture on their 10 acre farm.
Stirrup, Jen: - Jen Stirrup is a data strategist and technologist, a Microsoft Most Valuable Professional (MVP), and a Microsoft Regional Director, a tech community advocate, a public speaker and blogger, a published author, and a keynote speaker. Jen is the founder of a boutique consultancy based in the UK, Data Relish, which focuses on delivering successful business intelligence and artificial intelligence solutions that add real value to customers worldwide. She has featured on the BBC as a guest expert on topics relating to data.
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