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Tableau Desktop – Part 2

Instructor‑Led: $1,400 | Duration: 2 Days

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Start Date End Date CLASS TIMES (EST) DELIVERY/LOCATION Status Price Enroll Now
3/16/2026 3/17/2026
9:00AM - 5:00PM
star GTR

Guaranteed-to-Run
$1,400
5/13/2026 5/14/2026
9:00AM - 5:00PM
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Guaranteed-to-Run
$1,400
7/15/2026 7/16/2026
9:00AM - 5:00PM
star GTR

Guaranteed-to-Run
$1,400
START DATE : 3/16/2026
END DATE : 3/17/2026
CLASS TIMES (EST) : 9:00AM - 5:00PM
DELIVERY/LOCATION :
STATUS :
star GTR

Guaranteed-to-Run
PRICE : $1,400
START DATE : 5/13/2026
END DATE : 5/14/2026
CLASS TIMES (EST) : 9:00AM - 5:00PM
DELIVERY/LOCATION :
STATUS :
star GTR

Guaranteed-to-Run
PRICE : $1,400
START DATE : 7/15/2026
END DATE : 7/16/2026
CLASS TIMES (EST) : 9:00AM - 5:00PM
DELIVERY/LOCATION :
STATUS :
star GTR

Guaranteed-to-Run
PRICE : $1,400

Course Highlights

LEVEL: 
  • Advanced
TOPICS & JOB ROLES: 
BRANDS/TECHNOLOGIES: 

Tableau Desktop – Part 2 Course Outline

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 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?

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.

PREREQUISITES

Tableau Desktop: Part 1

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

Related Job Roles

This course builds skills and demonstrates qualifications for the job roles and average base salaries below. 

Market Intelligence Analyst

Demographer

Education Research Analyst

Mathematical Statistician

Psychometric Consultant

Quantitative Methodologist

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