Tableau 2019.1 for Data Scientists

Video description

Leverage the power of Tableau to generate useful insights from messy data and fix, prepare and present data quickly and easily

About This Video

  • Create impactful data science and analytics visualizations including Sankey diagrams and presentations
  • Analyze your data with Tableau and challenge yourself by working with new datasets and real-life exercises
  • Cover the latest Tableau 2019.1 features to hone your visualization skills

In Detail

You’ve just completed an incredible data science or data analytics project. You still need to present your findings to your manager, client or even a large audience at the conference. In these kinds of situations, powerful visualization can make or break your project. What should you do? With Tableau 2019.1 for Data Scientists, you’ll be able to answer key data decision questions, learn how to deal with disorganized data, and even visualize your results with maps and dashboards.

What makes this training module different? This step-by-step guide is designed to give you practical and essential skills that anyone doing data visualization and analytics needs to have. You’ll be able to boost your visualizations by learning techniques such as adding filters and quick filters, and using color schemas in dashboards.

By the end of this course, you’ll have the skills to make your Tableau data visualization projects a success by creating fascinating stories and offering invaluable guidance when strategic business decisions are being made.

All the code and supporting files for this course are available at:

Downloading the example code for this course: You can download the example code files for all Packt video courses you have purchased from your account at If you purchased this course elsewhere, you can visit and register to have the files e-mailed directly to you.

Table of contents

  1. Chapter 1 : Tableau Installation
    1. Course Overview 00:03:32
    2. What Is Tableau 2019.1? 00:03:34
    3. Tableau 20 19.1 Installation 00:04:02
    4. Navigating Tableau 2019.1 00:05:03
  2. Chapter 2 : Tableau Basics
    1. Case Study: Who Is the Best Sales Manager? 00:01:37
    2. Connecting Tableau with the Dataset 00:03:50
    3. Creating Calculated Fields, Adding Colors and Labels – Part 1 00:03:47
    4. Creating Calculated Fields, Adding Colors and Labels – Part 2 00:03:49
    5. Creating Calculated Fields, Adding Colors and Labels – Part 3 00:04:23
    6. Exporting Your Worksheet and Final Visualization 00:04:17
  3. Chapter 3 : Your First Dashboard
    1. Case Study: Unemployment Rate 00:02:10
    2. Connecting Tableau with the Dataset 00:04:37
    3. Overview of Aggregation and Granularity 00:05:28
    4. Creating Our Area Chart 00:07:45
    5. Adding Filters 00:04:25
    6. My First Dashboard 00:04:22
  4. Chapter 4 : Color Schemes
    1. Introduction to color Schemes 00:03:37
    2. Monochromatic Color and Analogous Color with Industry Data Examples 00:03:12
    3. Complementary Colors with Data Examples 00:03:29
    4. Triadic and Tetradic Colors with Data Examples 00:04:56
  5. Chapter 5 : Color Project
    1. Case Study: Brief Introduction 00:01:33
    2. Connecting Tableau with the Dataset 00:02:33
    3. Testing Our Color Palette and Making Visualizations 00:05:15
    4. Color Split Scheme Implementation 00:05:29
    5. Triad Color Scheme Implementation 00:02:39
    6. Analogue Color Scheme Implementation 00:03:01
    7. Your Dashboard 00:01:50
  6. Chapter 6 : Profit Analysis
    1. Case Study: Profit Analysis 00:02:30
    2. Connecting Tableau with the Dataset 00:03:58
    3. Use a Horizontal Bar Chart 00:04:30
    4. Individual Customer Profitability with a Scatterplot 00:05:30
    5. Filled Maps Chart 00:03:45
    6. Full Interactivity Between the Charts 00:07:45
    7. Making Dashboard Tablet-Friendly 00:03:45
  7. Chapter 7 : Advanced Tableau Visualizations
    1. Case Study: Titanic Disaster – Sankey Diagram 00:01:40
    2. Connecting Tableau with the Dataset 00:04:24
    3. Data Preparation 00:04:00
    4. Building Nested Table Calculation 00:04:50
    5. Building Calculated Fields 00:04:44
    6. Building Core Chart 00:06:41
    7. Complete Sankey Diagram Chart 00:04:29
    8. Sankey Diagram Dashboard 00:05:00

Product information

  • Title: Tableau 2019.1 for Data Scientists
  • Author(s): Manja Bogicevic
  • Release date: February 2019
  • Publisher(s): Packt Publishing
  • ISBN: 9781789958249