Course Description
Tableau has emerged as one of the most popular Business Intelligence solutions in recent times, thanks to its powerful and interactive data visualization capabilities. This course will empower you to become a master in Tableau by exploiting the many of its new features.
You will embark on this exciting journey by getting to know the valuable methods of utilizing advanced calculations to solve complex problems. These techniques include creative use of different types of calculations such as row-level, aggregate-level, and more. You will discover how almost any data visualization challenge can be met in Tableau Desktop by getting a proper understanding of the tool’s inner workings and creatively exploring possibilities.
You’ll be armed with an arsenal of advanced chart types and techniques to enable you to efficiently and engagingly present information to a variety of audiences through the use of clear, efficient and engaging dashboards. Explanations and examples of efficient and inefficient visualization techniques, well-designed and poorly-designed dashboards, and compromise design options for when Tableau consumers will not embrace the data visualization will build your understanding of best design practices using Tableau Desktop and how to use it efficiently.
By the end of the course, you will be equipped with all the information you need to create effective data visualizations and dashboards. In addition, you will learn a great deal about data, data cleansing and data types when using Tableau Desktop.
Certification Options
This class, when combined with our Tableau Desktop Level 1: Introduction class, offer a strong foundation in preparation for the Tableau Desktop Certified Associate Exam. Exam prep guide is shown here: https://mkt.tableau.com/files/DesktopCA_ExamGuide.pdf
Prerequisites
Before attending this course, it is highly recommended that students have taken the following course:
•      Tableau Desktop Level 1: Introduction
In addition, it is recommended to have at least 6 months experience using Tableau Desktop.
Students should have experience using Microsoft Excel and the use of Pivot Tables and calculations would be helpful.
Audience
This two-day course will provide you with the skills that will help you be a Tableau Advanced designer. It is designed for individuals with at least 6 months experience with the fundamental concepts of Tableau and/or those students who have taken the Tableau Desktop Level 1: Introduction class and who wish to take their skills to the next level.
Course Outline
1. Getting Up to Speed – A Review of the Basics
–Creating Worksheets and Dashboards
–Connecting Tableau to your Data, Tableau Server and Saved Data Sources
–Measure Names and Measure Values
–Three Essential Tableau Concepts
–Exporting Data to Other Devices
2. All About Data – Getting Your Data Ready
–Understanding Tableau’s Data Handling Engine
–The Tableau Data Handling Engine and Hyper Takeways
–Data Mining and Knowledge Discovery Process Models
–CRISP-DM
–Focus on Data Preparation
–Surveying and Cleaning the Data
3. Tableau Prep
–Connecting to Data
–The Tableau Prep GUI
–Prepping Data
–Exporting Data
4. All About Data – Joins, Blends and Data Structures
–Introduction to Joins and Complex Joins
–Observing Join Culling
–Introduction to Join Calculations, Spatial Joins and Unions
–Understanding Data Blending
–Order of Operations
–No Dimensions from a Secondary Source
–Scaffolding and Data Structure
5. All About Data – Data Densification, Cubes and Big Data
–Introduction to Data Densification
–Deployment and Usefulness of Domain Completion
–Domain Padding
–Working with Cubes and Understanding the Deprecation of Cubes
–Tableau and Big Data
–Addressing Excel’s Row Limitation
–Massively Parallel Processing
–Building a Visualization with Google BigQuery
6. Table Calculations
–A Definition and Two Questions
–Introduction to Functions
–Directional and Non-Directional Table Calculations
–Application of Functions
7. Level of Detail Calculations
–Building Playgrounds
–Playground I: FIXED AND EXCLUDE
–Playground II: INCLUDE
–Practical Application
8. Beyond the Basic Chart Types
–Improving Popular Visualizations
–Custom Background Images
–Tableau Extensions
9. Mapping
–Connection to a WMS Server
–Exploring the TMS File and Mapbox
–Accessing Different Maps with a Dashboard
–Creating Custom Polygons
–Converting Shape Files for Tableau
–Heatmaps
10. Tableau for Presentations
–Getting the Best Images out of Tableau
–From Tableau to PowerPoint
–Embedding Tableau in PowerPoint
–Animating Tableau
–Story Points and Dashboards for Presentations
11. Visualizations Best Practices and Dashboard Design
–Visualization Design Theory
–Formatting, Color and Visualization Type Rules
–Compromises in Design
–Dashboard Design and Layout
–Sheet Selection
12. Advanced Analytics
–Self-Service Analytics
–Use Case: Self-Service and Geo-Spatial Analytics
13. Improving Performance
–Performance-Recording Dashboard
–Advantages of Blending
–Efficiently Working with Large Data Sources
–Intelligent Extracts
–Extract Filter Performance
14. Interacting with Tableau Server
–Tableau Packaged Data Source
–Tableau Server Architecture and Approaches to Avoid and Adopt
–Tableau Server Revision History
–Tableau Server Settings
15. Programming Tool Integration
–R Installation and Integration
–Using R Functions
–Python Installation and Integration
–Using Python Functions
–MATLAB Installation and Integration
Inclusions
With CCS Learning Academy, you’ll receive:
- Certified Instructor-led training
- Official Training Seminar Student Handbook
- Collaboration with classmates (not currently available for self-paced course)
- Real-world learning activities and scenarios
- Exam scheduling support*
- Enjoy job placement assistance for the first 12 months after course completion.
- This course is eligible for CCS Learning Academy’s Learn and Earn Program: get a tuition fee refund of up to 50% if you are placed in a job through CCS Global Tech’s Placement Division*
- Government and Private pricing available.*
*For more details call:Â 858-208-4141Â or email:Â training@ccslearningacademy.com; sales@ccslearningacademy.com
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