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Course Overview
Professionals who use data visualization tools like Tableau are up to 5x more likely to uncover actionable insights than those relying only on spreadsheets. With the abundance of computational power and storage available, data analysis is no longer limited to specialists; employees across roles and industries can harness data to uncover timely insights, streamline decisions, and drive measurable business success.
The creation of data-backed visualizations is a key way data scientists, or any professional, can 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. Tableau's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, allowing users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action.
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 the Tableau Desktop Specialist certification, which requires candidates to pass the Tableau Desktop Specialist exam, or the Tableau Certified Data Analyst certification, which requires candidates to pass the Tableau Certified Data Analyst exam.
Course Objectives
By the end of this course, learners will be able to:
- Connect to and transform data.
- Refine visualizations.
- Analyze data with calculations.
- Perform statistical analysis, forecasting, and predicting.
- Create content.
- Publish and manage content.
- Get answers with Explain Data and Tableau Pulse.
Course Outline
Lesson 1: Connecting to and Transforming Data
- Topic A: Select Appropriate Data Sources
- Topic B: Combine Data for Analysis
- Topic C: Transform Data
Lesson 2: Refining Visualizations
- Topic A: Organize Data
- Topic B: Create Advanced Filters
- Topic C: Create and Apply Parameters
Lesson 3: Analyzing Data with Calculations
- Topic A: Create Calculated Fields
- Topic B: Use Functions to Manipulate Data
- Topic C: Use Table Calculations
- Topic D: Create Calculated Groups
- Topic E: Create Custom Sorts
- Topic F: Create LOD Expressions
Lesson 4: Performing Statistical Analysis, Forecasting, and Predicting
- Topic A: Perform Statistical Analysis
- Topic B: Forecast Data Trends
- Topic C: Create Predictive Models
Lesson 5: Creating Content
- Topic A: Create Charts and Maps
- Topic B: Create Dashboards
- Topic C: Format Dashboards
- Topic D: Enhance Dashboards
Lesson 6: Publishing and Managing Content
- Topic A: Share and Publish Content
- Topic B: Schedule Data Updates
- Topic C: Manage Published Workbooks
Lesson 7: Getting Answers with Explain Data and Tableau Pulse
- Topic A: Use the Explain Data Feature
- Topic B: Use Tableau Pulse