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Data Visualization with Tableau
Rating: 4.4 out of 5(54 ratings)
168 students

Data Visualization with Tableau

Discover how to visualize your Data using Tableau
Created byPackt Publishing
Last updated 7/2019
English

What you'll learn

  • Work with various data sources including text files, MS Excel files, databases, and R data files
  • Use Tableau Desktop for data analysis and visualizations
  • Create bar charts, pie charts, waterfall charts, bump charts, line graphs, boxplot and line graphs etc.
  • Build interactive Dashboards and Visualizations
  • Develop calculated fields such as running sum, moving average, year on year growth etc. with conditional logic
  • Create a dynamic dashboard combining multiple worksheets

Course content

9 sections • 42 lectures • 4h 59m total length

  • The Course Overview4:51

    This video will give you an overview about the course.

  • What Is Data Visualization?3:56

    The aim of this video is to learn about the techniques for data visualization.

  • Why Visualize Data?3:04

    What is the significance of appropriate visualization?

  • Leading Data Visualization Tools2:48
    Which are the market leading data visualization tools?
  • Introduction to Tableau2:28
    Why Tableau has gained the popularity that it has?
  • Tableau Products Suite3:43
    What are the few products from Tableau’s product suite.
  • Tableau File Types6:00
    The aim of this video is to learn the various file types supported by Tableau.

Requirements

  • No prior knowledge is required.

Description

Tableau is one of the fastest evolving 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. The rise of big data and the growing public awareness of its power has made this the moment for data visualization. Data visualization is changing the way the world looks at data.

Tableau is a Data Visualization tool for molding information into various visuals. This course gives an overview of the fundamentals, from normal computations to implementations of various concepts such as Integrating Tableau with R, advanced graphs, and formatting visualizations. This video course takes you on a journey in which you'll master data visualization using Tableau by getting to know valuable methods for utilizing advanced calculations to solve complex problems. These techniques include the creative use of different types of calculation such as row-level, aggregate-level, and more. You will discover how almost any data visualization challenge can be met in Tableau by a proper understanding of the tool's inner workings and creatively exploring its possibilities.

By the end of the course you will be equipped for success as a Data Analyst: you will be able to create effective dashboards and data visualization solutions using Tableau.

About the Author

Seema Acharya is Senior Lead Principal with the Education, Training and Assessment Department of Infosys Limited. She is an educator by choice and vocation and has rich experience in both Academia and the software industry. Her areas of interest and expertise are centered on Business Intelligence, Big data and Analytics, and technologies such as data warehousing, data mining, data analytics, text mining, and data visualization. She has authored the following books:

Fundamentals of Business Analytics, ISBN: 978-81-265-3203-2, publisher – Wiley India.

Big Data and Analytics, ISBN-13: 978-8126554782, publisher - Wiley India.

Pro Tableau - A Step By Step Lab Guide ISBN-13: 978-1484223512, publisher – Apress.

She has co-authored a paper on "Collaborative Engineering Competency Development" for ASEE (American Society for Engineering Education). She holds the patent on "Method and system for automatically generating questions for a programming language."

Who this course is for:

  • If you present data to others, aspire to be a business analyst or data scientist, or if you'd like to become more effective with visualization tools, then you can grow your skills with this course.

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