# Tableau Bootcamp

Canonical URL: <https://www.graduateschool.edu/courses/tableau>

## Overview

Tableau is the industry standard for creating dynamic charts, maps, and dashboards that turn raw data into clear, compelling stories.

In this course, you’ll learn to connect with datasets, analyze and structure data, and build interactive visualizations with Tableau Public. From mastering the fundamentals to working with geographic data and customizing your designs, you’ll gain the skills to create and publish professional, engaging dashboards that effectively communicate insights.

## What you'll learn

- Connect to datasets in various formats and clean, filter, and structure the data for visual storytelling
- Create a variety of visualizations, including bar charts, line charts, treemaps, heat maps, and dual-axis charts
- Use Tableau's calculation tools to build custom fields, apply aggregates, and enhance data analysis
- Format charts with labels, tooltips, colors, and axes to improve clarity and visual impact
- Work with geographic data to build interactive map visualizations, including choropleths and proportional-symbol maps
- Customize dashboards and stories for different audiences and devices using Tableau's interactivity tools
- Integrate external map services and use advanced visualization types such as spider maps and alluvial diagrams
- Publish your work to Tableau Online and export dashboards for professional sharing and collaboration

## Curriculum

### Module I: Working with Your Data

#### Understanding Data

- What is data
- Where to find data
- Foundations for building Data Visualizations
- Tableau Versions
- Tableau Workflow
- Tableau Chart Types

#### Working with your Data in Tableau

- Using Data file formats
- Connecting your Data to Tableau
- Cleaning-up the data with the Data Interpreter
- Structuring your data
- Sorting and filtering Tableau data
- Pivoting Tableau data

#### Creating your First Visualization

- Getting started with Tableau Software
- Using Data file formats 
  - CSV, TXT

- Connecting your Data to Tableau
- Creating basic charts (line, bar charts, Treemaps)
- Using the Show me panel

#### Tableau Calculations

- Overview of SUM, AVR and Aggregate features
- Creating custom calculations and fields
- Applying new data calculations to your visualization

#### Formatting your Visualization

- Formatting Tools and Menus
- Formatting specific parts of the view
- Editing and Formatting Axes

#### Working with your Data in Tableau

- Cleaning-up the data with the Data Interpreter
- Structuring your data
- Sorting and filtering Tableau data
- Pivoting Tableau data

#### Organizational tools

- Using Filters
- Using the Marks panel
- Using the Detail mark card
- Using the Size mark card
- Using the Label mark card
- Customizing filters
- Using and Customizing tooltips
- Formatting your data with colors

#### Distributing and Publishing your Visualization

- Tableau file types
- Publishing to Tableau Online
- Sharing your visualization
- Exporting your visualization

### Module II: Mapping & Advanced Visualizations

#### Intro to mapping data

- Concepts of mapping data
- Requirements in mapping data
- Formatting geographic data for Tableau
- Using Polygon data
- Using background images
- Integrating with Map Services - Mapbox, WMS
- Customizing map layers and map options

#### Creating Visualization Maps

- Creating Choropleth maps
- Creating Proportional Symbol maps
- Tracking data Over Time Using Maps & Pages
- What is a Density Map?
- Distributing and Publishing your map Visualization

#### Creating a Dual Axis Chart

- Dual Axis Charts
- Dual Axis (Layered) Maps
- Benefits of dual axis charts

#### More Chart Types

- Cyclical data and circular area chart
- Alluvial Diagram
- Ranking Chart
- Creating Spider maps
- Creating Heat maps

#### Creating dashboards and Stories

- Using Storytelling
- Creating your first dashboard and Story
- Design for different displays
- Adding interactivity to your Dashboard

#### Modifying and Updating Data

- Relinking Data Sources
- Swapping out Data Sources

#### Individualized Project Work

- Students will work with either provided data sets or their own data to work on individual projects during this supervised classroom time.

## Schedule
- May 28, 2026 – May 29, 2026 — Live Online
- Jun 14, 2026 – Jun 21, 2026 — Live Online
- Jun 30, 2026 – Jul 9, 2026 — Live Online
- Jul 16, 2026 – Jul 17, 2026 — Live Online
- Sep 2, 2026 – Sep 3, 2026 — Live Online
- Oct 13, 2026 – Oct 22, 2026 — Live Online
- Oct 21, 2026 – Oct 22, 2026 — Live Online
- Nov 1, 2026 – Nov 8, 2026 — Live Online

## Pricing

**Tuition:** $499
