Tableau Desktop 2 | Tableau Intermediate Training | DT2 | GKT
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Tableau Desktop Training | Tableau Desktop |
Course Description
This Tableau Desktop 2 course is designed to provide you with the skills required to become a Tableau power user. The course is designed for the professional who has solid working experience with Tableau and wants to take it to the next level. You should have a deep understanding of all the fundamental concepts of building worksheets and dashboards, but may scratch your head when working with more complex issues.
Objectives
At the end of this class, you will be able to:
- Build advanced chart types and visualizations Build complex calculations to manipulate your data.
- Use statistical techniques to analyze your data.
- Use parameters and input controls to give users control over certain values.
- Implement advanced geographic mapping techniques and use custom images and geocoding to build spatial visualizations of non-geographic data.
- Prep your data for analysis.
- Combine data sources using data blending.
- Combine data from multiple tables in the same data source using joins.
- Make your visualizations perform as well as possible using the Data Engine, extracts, and efficient connection methods.
- Build better dashboards using techniques for guided analytics, interactive dashboard design, and visual best practices.
- Implement efficiency tips and tricks.
Audience
N.A
Prerequisites
Tableau Desktop I: Fundamentals or equivalent experience.
Content
This Tableau Intermediate Training course includes a workbook containing key concepts on each topic covered and hands-on activities to reinforce the skills and knowledge attained.
- Introduction
- Creating and connecting to data sources
- Defining subsets of your data
- Using calculations in Tableau
- Advanced table calculations
- Creating and using parameters
- Data extracts
- Comparing measures
- Tableau geocoding
- Viewing distributions
- Statistics and forecasting
- Dashboards and stories.
To know more visit, top IT Training provider Global Knowledge Technologies.
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