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Course Description

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As technology progresses and becomes more interwoven with our businesses and lives, more and more data is collected about business and personal activities.  This era of “big data” has exploded due to the rise of cloud computing which provide an abundance of computational power and storage, allowing organizations of all sort to capture, store data.  Leveraging that data effectively can provide timely insights and competitive advantage.

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 allow 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.

Course Outline

  • Introduction
  • Connecting to data
  • Simplifying and sorting your data
  • Organizing your data
  • Slicing your data by date
  • Using multiple measures in a view
  • Showing the relationship between numerical values
  • Mapping data geographically
  • Viewing specific values
  • Customizing your data
  • Analyzing data with quick table calculations
  • Showing breakdowns of the whole
  • Highlighting data with reference lines
  • Making your views available

Learner Outcomes

At the end of this course, the learner will be able to:

  • Identify and configure basic functions of Tableau
  • Connect to data sources, import data into Tableau, and save Tableau files
  • Create views and customize data in visualizations
  • Manage, sort and group data
  • Save and share data sources and workbooks
  • Filter data in views
  • Customize visualizations with annotations, highlights, and advanced features
  • Create maps, dashboards and stories

Notes

Learn about more data analytics  and project management topics here

Prerequisites

To ensure your success in this course, you should have experience managing data with Microsoft Excel or Google Sheets.

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Enroll Now - Select a section to enroll in

Type
Classroom: Instructor Led
Days
T, Th
Time
8:30AM to 4:00PM
Dates
Mar 03, 2020 to Mar 05, 2020
Schedule and Location
Contact Hours
12.0
Location
Course Fee(s)
Tuition non-credit $995.00
Section Notes

Parking, lunch and refreshments are provided.

Enrollment Deadline is Friday, February 21, 2020, at 5:00 PM CST. Beyond this date, please call 314-935-4444 to register.

CANCELLATION POLICY

A full refund will be given when a registrant cancels more than five business days prior to the start of the class. Cancellations received within 5 business days of the start of the class and no-shows will be billed in full. Another person may be substituted at any time at no additional charge. 

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