₦247,250.0000 incl. VAT
Overview
Tableau has emerged as one of the most popular Business Intelligence solutions in recent times, thanks to its powerful and interactive data visualization capabilities. 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 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 options when Tableau consumers will not embrace data visualization will build on your understanding of Tableau and how to use it efficiently.
By the end of this course, you will be equipped with all the information you need to create effective dashboards and data visualization solutions using Tableau.
Features
Audience
This two day course will provide you with the skills that will help you be a Tableau power user. It is designed for individuals with experience with the fundamental concepts of Tableau who want to take their skills to the next level.
Prerequisites
Before attending this course, students should have experience using Microsoft Excel and have taken the Basic Tableau Business intelligence course.
Duration: 2 days
Part I (Short Review Basic Tableau Business Intelligence)
• Tips and Tricks
• Tableau Products
• Connecting to Data
• Shaping Data
• Tableau Terminology
• Dimensions vs. Measures
• Charts
• Filters and Calculations
• Sets
• Dashboards
Part 2 – Chart Types
• Manually Creating and Editing Charts
• Chart Enhancements
• Advanced Techniques with Various Charts
Part 3 – Tips and Tricks
• Icon Navigation
• What-If Analysis
• Alerts on Dashboards
• Custom Shapes
• Google Analytics
• Conditional Formatting
• Level of Detail Expressions
• Device Specific Dashboards
• Time Choices
• Beautiful charts
Part 4 – Framework – Business Questions
• INSIGHT Framework
• KPIs
• Shaping Data
• Gather Feedback
Part 5 – Story Telling
• Design Best Practice
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