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Data Visualization with Tableau

Data Visualization with Tableau

Date: August 16th, 23rd, 30th, and Sept. 6th

Time: 10:00am – 3:00pm

Instructor: Sasha Bartashnik

Venue:  500 7th Ave, 17th Fl., New York, NY (close to Times Square)

**You can contact vivian.zhang@supstat.com to get corporate training or small group training.

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Course Preview

Why Tableau is popular

Tableau Desktop is based on breakthrough technology from Stanford University that lets you drag & drop to analyze data. You can connect to data in a few clicks, then visualize and create interactive dashboards with a few more.

The Tableau team has done years of research to build a system that supports a person’s natural ability to think visually. The platform shifts fluidly between views, following your natural train of thought. You’re not stuck in wizards or bogged down writing scripts. You just create beautiful, rich data visualizations.

It’s so easy to use that any Excel user can learn it. Get more results for less effort. And it’s 10 – 100 times faster than existing solutions.

Project Demo Day and Certificates

Each student will present a project of their choice on Project Demo Day. Upon successful completion of the course, you will qualify for one of three certificates: Extraordinary Standing, Honorable Graduation, and Active Participation.

Certificates are awarded according to your understanding, skill, and participation.

 

SYLLABUS

 

Week 1: Tableau Basics

  • Principles of data visualization
  • Getting started with Tableau
  • More viz types
  • Tools for interacting
  • Tools for describing
  • Exploring the data

Week 2: Data sources and Calculations

  • Principles of data visualization (cont.)
  • Special field types
  • More about single data sources
  • More about multiple data sources
  • Extracts and data connection types
  • Calculate fields/functions
  • Parameters

Week 3: Modeling

  • Working with goals
  • Stats modeling:  trend lines, forecasting
  • More with dashboards
  • Quick filters
  • Actions
  • Parameters
  • Highlight / filter / URL actions

Week 4: Visualizations and Quick Tips

  • More with maps
  • Advanced visualization methods
  • Dashboard best practices
  • Quick tips
  • Resources