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Tableau is a phenomenal visualization program. Even beginners can pick up the program and, within a few weeks, days, or even minutes, create beautiful visualizations and dashboards. This also creates a challenge for the Tableau Professional: how do I make my charts and visuals stand out from the crowd?

This course is the answer to that dilemma. Condensing four years of advanced and professional data visualization experience down into a 5.5 hour course, Mastering Top Visualization Techniques in Tableau 10 provides not only theory but also practical applications for how to bring your Tableau game to the next level.
When bar charts and line graphs just aren’t enough anymore, this is the course for you.
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Course Curriculum

1.1 Course Introduction
1.1 Course Introduction 00:00:00
2.1 Section Intro
2.1 Section Intro 00:00:00
2.2 What are they and what are they used for
2.2 What are they and what are they used for 00:00:00
2.3 Data prep using Excel
2.3 Data prep using Excel 00:00:00
2.4 Data prep using Custom SQL
2.4 Data prep using Custom SQL 00:00:00
2.5 Data prep using a LOD calculation
2.5 Data prep using a LOD calculation 00:00:00
3.1 Section Intro
3.1 Section Intro 00:00:00
3.2 Background and Use Cases
3.2 Background and Use Cases 00:00:00
3.3 Challenge Symptoms of Wealth Inequality
3.3 Challenge Symptoms of Wealth Inequality 00:00:00
3.4 Data Preparation Excel Manipulation
3.4 Data Preparation Excel Manipulation 00:00:00
3.5 Data Preparation Custom SQL
3.5 Data Preparation Custom SQL 00:00:00
3.6 Core Calculations
3.6 Core Calculations 00:00:00
3.7 Building the Core Chart
3.7 Building the Core Chart 00:00:00
3.8 Completing the Visualization
3.8 Completing the Visualization 00:00:00
4.1 Section Intro
4.1 Section Intro 00:00:00
4.2 Background and Use Cases
4.2 Background and Use Cases 00:00:00
4.3 Challenge US Population Density Modeling
4.3 Challenge US Population Density Modeling 00:00:00
4.4 Base Hexbin Calculations
4.4 Base Hexbin Calculations 00:00:00
4.5 Data Densification using LOD Calculation
4.5 Data Densification using LOD Calculation 00:00:00
4.6 Data Densification using LOD Calculation
4.6 Data Densification using LOD Calculation 00:00:00
4.7 Building the Chart
4.7 Building the Chart 00:00:00
4.8 Problem The Mercator Distortion
4.8 Problem The Mercator Distortion 00:00:00
4.9 Web Mercator Base Hexbin Calculations
4.9 Web Mercator Base Hexbin Calculations 00:00:00
4.10 Web Mercator Secondary Hexbin Calculations
4.10 Web Mercator Secondary Hexbin Calculations 00:00:00
4.11 Completing the Visualization
4.11 Completing the Visualization 00:00:00
5.1 Section Intro
5.1 Section Intro 00:00:00
5.2 Basic Table Calculations Review
5.2 Basic Table Calculations Review 00:00:00
5.3 Addressing and Partitioning
5.3 Addressing and Partitioning 00:00:00
5.4 At the Level, Restarting Every, and Compute Using
5.4 At the Level, Restarting Every, and Compute Using 00:00:00
5.5 Nested Table Calculations
5.5 Nested Table Calculations 00:00:00
5.6 Data Densification Review
5.6 Data Densification Review 00:00:00
6.1 Section Intro
6.1 Section Intro 00:00:00
6.2 Background and Use Cases
6.2 Background and Use Cases 00:00:00
6.3 Challenge Titanic Passenger Survival
6.3 Challenge Titanic Passenger Survival 00:00:00
6.4 Data Preparation using LOD calculation (a variant)
6.4 Data Preparation using LOD calculation (a variant) 00:00:00
6.5 Base Sankey Calculations
6.5 Base Sankey Calculations 00:00:00
6.6 Secondary Calculations
6.6 Secondary Calculations 00:00:00
6.7 Building the Core Chart Nested Table Calculations
6.7 Building the Core Chart Nested Table Calculations 00:00:00
6.8 Percents of Totals
6.8 Percents of Totals 00:00:00
6.9 Completing the Visualization
6.9 Completing the Visualization 00:00:00
6.10 Homework Double Sankey
6.10 Homework Double Sankey 00:00:00
6.11 Homework Answers
6.11 Homework Answers 00:00:00
7.1 Section Intro
7.1 Section Intro 00:00:00
7.2 Background and Use Cases
7.2 Background and Use Cases 00:00:00
7.3 Challenge Restaurant Survey Data
7.3 Challenge Restaurant Survey Data 00:00:00
7.4 Data Preparation Lookups, Cleaning, and Pivoting
7.4 Data Preparation Lookups, Cleaning, and Pivoting 00:00:00
7.5 Base Likert Calculations
7.5 Base Likert Calculations 00:00:00
7.6 Building the Core Chart
7.6 Building the Core Chart 00:00:00
7.7 Adding Summary Totals using a Dual Axis
7.7 Adding Summary Totals using a Dual Axis 00:00:00
7.8 Homework Adding in New Dimensions
7.8 Homework Adding in New Dimensions 00:00:00
7.9 Homework Answers
7.9 Homework Answers 00:00:00
8.1 Section Intro
8.1 Section Intro 00:00:00
8.2 Dashboard Objects Review
8.2 Dashboard Objects Review 00:00:00
8.3 Tiled vs. Floating Layout Mechanics
8.3 Tiled vs. Floating Layout Mechanics 00:00:00
8.4 Sizing Containers and Dashboards
8.4 Sizing Containers and Dashboards 00:00:00
8.5 Navigation using Actions
8.5 Navigation using Actions 00:00:00
9.1 Section Intro
9.1 Section Intro 00:00:00
9.2 Background and Use Cases
9.2 Background and Use Cases 00:00:00
9.3 Challenge Regional Store Reporting
9.3 Challenge Regional Store Reporting 00:00:00
9.4 Base Containers and Layout
9.4 Base Containers and Layout 00:00:00
9.5 Extra Practice Applying the Layout to Regions
9.5 Extra Practice Applying the Layout to Regions 00:00:00
9.6 Building the Hamburger Menu Custom Shapes
9.6 Building the Hamburger Menu Custom Shapes 00:00:00
9.7 Building the Hamburger Menu Show Hide Action
9.7 Building the Hamburger Menu Show Hide Action 00:00:00
9.8 Navigation and Completing the Visualization
9.8 Navigation and Completing the Visualization 00:00:00
9.9 Navigation and Completing the Visualization
9.9 Navigation and Completing the Visualization 00:00:00
9.10 Homework Answers
9.10 Homework Answers 00:00:00
10. Congratulations!
10. Congratulations! 00:00:00

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