Data Visualization with Tableau

Data Visualization with Tableau

by Seema Acharya
Released April 2018
Publisher(s): Packt Publishing
ISBN: 9781788837330

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Video description

Discover how to visualize your Data using Tableau

About This Video

  • Explore the basic techniques of working with Tableau
  • Create interactive charts and dashboards from a myriad of data sources and get valuable insights from them.
  • Build easy to follow demonstrations discussing the pros and cons of each chart form.

In Detail

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.

Table of contents

  1. Chapter 1 : Introduction to Data Visualization and Tableau
    1. The Course Overview 00:04:52
    2. What Is Data Visualization? 00:03:57
    3. Why Visualize Data? 00:03:04
    4. Leading Data Visualization Tools 00:02:48
    5. Introduction to Tableau 00:02:29
    6. Tableau Products Suite 00:03:43
    7. Tableau File Types 00:06:00
  2. Chapter 2 : Connecting to Data Sources
    1. Working on Excel Data 00:09:58
    2. Connecting to a Text Data Source 00:02:16
    3. Handling R Data 00:03:46
    4. Connecting to MS Access Database 00:03:54
  3. Chapter 3 : Creating Basic Charts and Graphs
    1. Creating a Pie Chart 00:07:27
    2. Creating a Bar Chart 00:07:02
    3. Creating a Line Graph 00:05:13
    4. Discovering Scatter Plot 00:06:42
  4. Chapter 4 : Data Management
    1. Handling Filter Data 00:09:24
    2. Discovering Context Filter 00:10:24
    3. Implementing Sorting 00:04:15
    4. Nested Sort 00:06:15
    5. Understanding Grouping of Data 00:08:40
    6. Manipulating Sets 00:10:29
    7. Creating Parameters 00:06:22
  5. Chapter 5 : Working with Dates
    1. Discrete and Continuous 00:14:50
  6. Chapter 6 : Table Calculation
    1. Percent of Total 00:07:20
    2. Running Total Calculations 00:08:37
    3. Computing “Rank” 00:05:21
    4. Moving Average 00:06:36
    5. Computing “Year on Year Growth” 00:06:48
  7. Chapter 7 : Advanced Chart Forms
    1. Combination Chart 00:05:44
    2. Dual Axis Chart 00:02:30
    3. Heat Map 00:05:49
    4. Tree Map 00:04:42
    5. Box Plot 00:07:29
    6. KPI Chart 00:04:48
    7. Waterfall Chart 00:04:26
    8. Bump Chart 00:03:59
    9. Level of Details (LOD) 00:18:54
  8. Chapter 8 : Integrating R
    1. Linear Regression 00:13:19
    2. Performing “Market Basket Analysis” in Tableau 00:12:32
    3. K-means Clustering 00:11:50
  9. Chapter 9 : Dashboards
    1. Building an Interactive Dashboard 00:20:21
    2. Best Practices for Effective Dashboards 00:04:34

Product information

  • Title: Data Visualization with Tableau
  • Author(s): Seema Acharya
  • Release date: April 2018
  • Publisher(s): Packt Publishing
  • ISBN: 9781788837330