The Complete Tableau Bootcamp for Aspiring Data Scientists

Video description

Learn to create stunning visualizations without writing code

About This Video

  • Detailed step-by-step walkthrough of creating data visualizations
  • Create dashboards and stories in Tableau
  • Define the granularity of data using the Level of Detail feature

In Detail

Visualizations provide us with a clearer understanding of data in a shorter span of time. They prove to be a powerful tool to make analyses and identify patterns. They also form an integral part of data storytelling by helping in creating narratives.

Tableau's remarkable visualization capabilities make it a popular choice for data visualization. In this course, we will understand the capabilities of Tableau that makes it a popular software. Discover the basic tableau concepts and go over some basic charts that can be created easily using Tableau. We will then go over how we can create dashboards and stories to present contextual information of the data.

Finally, we will learn some advanced features in Tableau, such as data modelling, controlling the granularity of the visualizations, and performing table calculations. By the end of the course, you will be able to use Tableau effectively and will be able to create sophisticated visualizations easily.

Publisher resources

Download Example Code

Table of contents

  1. Chapter 1 : Getting Started with Tableau
    1. Welcome to the Course
    2. What will be Cover in the Course
    3. Course Recourses
    4. Tableau Introduction
    5. Different Tableau Products
    6. Software Installation
    7. Software Walkthrough (Tableau Desktop Public Edition)
    8. Download Files from Tableau Public
  2. Chapter 2 : Tableau Desktop Professional Edition
    1. Section Introduction
    2. Software Installation
    3. Software Walkthrough (Tableau Desktop)
    4. Create Live and Extract Connection
    5. Live Versus Extract Connection Type
    6. Tableau Reader, TWBX Versus TWB Files
  3. Chapter 3 : Tableau Core Concepts
    1. Dimensions and Measures
    2. Update Data Types
    3. Discrete and Continuous Fields
    4. Aggregation and Granularity
    5. Discrete Date Parts and Continuous Date Values
    6. Calculated Fields
    7. Logical Expressions
    8. Ratio Calculations
  4. Chapter 4 : Chart Types
    1. Bar Chart and Stacked Bar Chart
    2. Line Chart
    3. Hands-On Exercise
    4. Solution
    5. Sorting - Computed and Manual
    6. Filters - Dimension and Measure
    7. Reference Line and Trend Line
    8. Scatter Plot
    9. Hierarchies
    10. Cross Tabs and Highlight Tables
    11. Heat Maps
    12. Symbol Maps
    13. Filled Maps
    14. Context Filters
    15. Histograms
  5. Chapter 5 : More Chart Types
    1. Pie Charts
    2. Tree Maps, Word Cloud, Packed Bubbles
    3. Viz in Tooltip
    4. Dual Axis
    5. Lollipop Chart
    6. Add Custom Shapes
    7. Animations
    8. Show Me
    9. Date Filters
    10. Groups and Visual Groups
    11. Sets
    12. Parameters
  6. Chapter 6 : Dashboard and Stories
    1. Hands-On Exercises (Profit Analysis)
    2. Solutions (Profit Analysis)
    3. Hands-On Exercises (Sales Analysis)
    4. Solutions (Sales Analysis)
    5. Dashboard Introduction
    6. Create A Profit Analysis Dashboard
    7. Add Actions for Interactivity
    8. Create Sales Analysis Dashboard
    9. Hands-On Exercise (Add Actions)
    10. Solution (Add Actions)
    11. Use Dashboard Objects (Navigation and Download)
    12. Create Course Comparison Dashboard (Embed YouTube URL in Dashboard)
    13. Creating a Tableau Story
    14. Formatting a Story
  7. Chapter 7 : Understand Table Calculations
    1. Create Custom Dates
    2. Table Calculations - Problem Statement
    3. Table Calculations - Concepts
    4. Table Calculations - Scope and Direction
    5. Table Calculations - Rank Calculation
    6. Table Calculations - Percent Total
  8. Chapter 8 : Level of Detail Expressions
    1. Level of Details (LOD) Introduction
    2. Fixed - LOD
    3. Fixed LOD - Cohort Analysis
    4. Include - LOD
    5. Exclude - LOD
    6. Exclude LOD - Another Example
    7. Hands-On Exercise
    8. Solution
  9. Chapter 9 : Data Preparation (Introducing Relationships)
    1. Data Model
    2. Understand Joins
    3. Use Relationships Instead of Joins
    4. Cross-Database Joins
    5. Relationships with Calculations
    6. Data Blending
    7. Use Relationships Instead of Blend
    8. Summarize Relationships, Joins, and Blends
    9. Understand Unions

Product information

  • Title: The Complete Tableau Bootcamp for Aspiring Data Scientists
  • Author(s): Vivek P
  • Release date: March 2021
  • Publisher(s): Packt Publishing
  • ISBN: 9781801075800