Design Your Data: Tableau Bootcamp
21

Tuesday, 21 September

12 7 pm EDT

$250 USD
Cost
$250 USD
Total

Questions? Read our FAQs

Design Your Data: Tableau Bootcamp | September 21

Jonathan Bechtel Photo


Technical Lead, Health Kismet

21

Tuesday, 21 September

12 7 pm EDT

Online

Anywhere
Online
$250 USD
Cost
$250 USD
Total

Questions? Read our FAQs

About This Workshop

Tableau is an incredibly powerful tool for exploring and visualizing your data. This day long bootcamp will allow people with no experience in Tableau to re-create all of its major charts and turn them into a functional, interactive dashboard by the end of the day.

Once people understand the power of Tableau they can quickly perform vital business analysis that would take 3-5x times as long with other software tools. When you are finished you’ll have a fully functional capability to harness Tableau’s native powers to aggregate, visualize, filter and segment your data in a way that will breathe new life into your organization..

Schedule: Session I: The Basics

  • Introduction to Tableau, and its different licenses and purchase options
  • Loading different types of data into Tableau, and how to connect them
  • Dimensions, Measures, and Tableau’s major data types
  • The nuts and bolts of Tableau’s UI
  • Basic chart building with Tableau: how it creates its layout and handles different data types
  • How to use Marks to create visual diversity with your Tableau visuals
  • How to re-create the 12 or so most commonly used charts in Tableau
  • How to use filters to segment and explore patterns within your data

Session II: Advanced Analysis

  • Dashboards: basic layouts and functionality
  • Dashboards: building interactivity and dynamic behavior
  • Dashboards: self-paced study session
  • How to manage and organize your data within Tableau with groups, folders and hierarchies
  • Table calculations: how they work, and how to use them to add additional insight into your data
  • Calculated columns: their basic syntax
  • Calculated columns: how to create conditional logic inside your charts
  • Parameters: make your filters and custom variables interactive, so you can better explore ‘what-if’ scenarios within your data

General Assembly’s classes, workshops & events are for recreational purposes and are not regulated by the bureau of proprietary school supervision.

If this class is recorded, students will be sent the recording link within 7 days after class completion by email. Students are encouraged to download and save any shared materials (worksheets, deck if applicable) during class for later reference as they are not be shared by email.

Takeaways

  • Fully understand the basics behind how Tableau structures its data and determines relationships between variables
  • Create almost all of Tableau’s primary chart types, as well as make modifications to them to better fit your own needs
  • Aggregate your charts into functional, interactive dashboards
  • Use advanced analytical techniques to add additional layers of insight into your data visualizations

Preparation

An installed version of Tableau Public or Tableau Desktop on your computer, which can be found here.

  • You will need access to a laptop or computer with a working webcam and microphone as well as a strong internet connection.
  • This class will occur completely online using Zoom.
  • Class setup information will be emailed to all students signed up around 24 hours before (and again an hour before) your class launches.
  • Each individual class participant must have purchased a ticket

About the Instructor

Jonathan Bechtel Photo

Technical Lead,
Health Kismet

Jonathan is a team leader for Kismet Analytics, a full-stack data consulting company that works with companies to build out bespoke data operating systems and improve their analytical capabilities.

His job responsibilities include architecting project strategies, engaging in code reviews, communicating key outcomes to business stakeholders and using the python computing stack for all things analytics: regression, data cleaning, visualization, building data feeds, model deployment and application development.

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