Description:
The advent of cloud computing and storage has ushered in the era of "big data." With the abundance of computational power and storage, organizations, and employees with many different roles and responsibilities can benefit from analyzing data to find timely insights and gain a competitive advantage.
Data-backed visualizations allow anyone to explore, analyze, and report insights and trends from data. Tableau® software is designed for this purpose. Tableau was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends and create reports. Beyond the fundamental capabilities of creating data-driven visualizations, Tableau allows users to manipulate data with calculations to show insights, make visualizations interactive, and perform statistical analysis. This gives users the ability to create and share data-driven insights with peers, executives, and clients.
Who Should Attend?
This course is designed for professionals in a variety of job roles who are currently using Tableau to perform numerical or general data analysis, visualization, and reporting. They need to provide data visualizations from multiple data sources, or combine data to show comparisons, manipulate data through calculations, create interactive visualizations, or create visualizations that showcase insights from statistical analysis.
This course is also designed for students who plan to obtain Tableau Desktop Certified Associate certification, which requires candidates to pass the Tableau Desktop Certified Associate exam.
Level:
Advanced
Prerequisites:
To ensure your success in this course, you should have experience with importing data and creating data visualizations in Tableau. You can obtain this level of skill and knowledge by taking Tableau Introduction.
Tuition:
$1,299.00
Credits:
1.4 CEU's
Class Type:
This course is currently being offered in the following training modalities:
- Online
- Virtual Instructor-Led
- Class Length: This class is listed as a 2-day course.
- Virtual Instructor-Led
Learning Outcomes:
At course completion students will be able to:
- Blend data multiple sources
- Join data
- Access data in PDFs
- Refine visualizations with sets and parameters
- Analyze data with calculations
- Visualize data with advanced calculations
- Perform statistical analysis and forecasting
- Create geographic visualizations
- Get answers with Ask and Explain
Course Outline:
Lesson 1: Blending Data from Multiple Sources
- Topic A: Blend Data
- Topic B: Refine Blends to Visualize Key Information
Lesson 2: Joining Data
- Topic A: Create Joins
- Topic B: Troubleshoot Joins
- Topic C: Merge Data with Unions
Lesson 3: Accessing Data in PDFs
- Topic A: Connect to PDFs
- Topic B: Clean Up and Organize PDF Data
Lesson 4: Refining Visualizations with Sets and Parameters
- Topic A: Create Sets
- Topic B: Analyze Data with Sets
- Topic C: Apply Parameters to Refine Visualizations
- Topic D: Create Advanced Visualizations
Lesson 5: Analyzing Data with Calculations
- Topic A: Create Calculated Fields to Analyze Data
- Topic B: Manipulate Data with Functions
- Topic C: Analyze Data with Table Calculations
Lesson 6: Visualizing Data with Advanced Calculations
- Topic A: Create Groups and Bins with Calculations
- Topic B: Analyze Data with LOD Expressions
Lesson 7: Performing Statistical Analysis and Forecasting
- Topic A: Perform Statistical Analysis
- Topic B: Forecast Data Trends
Lesson 8: Creating Geographic Visualizations
- Topic A: Create Maps
- Topic B: Customize Mapped Data
Lesson 9: Getting Answers with Ask and Explain
- Topic A: Ask Data
- Topic B: Explain Data
Appendix A: Multidimensional Data Sources
Appendix B: Mapping Course Content to the Tableau Desktop Certified Associate Certification Objectives
Appendix C: Mapping Course Content to the Tableau Desktop Specialist Certification Objectives
