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Description

Do you want to communicate insights from data clearly and effectively? Have you ever struggled with explaining data or finding the best way to present it visually? Have you come across graphs that obscured more than clarified the data?

Stand out as a professional capable of extracting more value from data. Increase the validity and credibility of your insights by mastering the art and science of data visualization and storytelling.

During Day 1, this practical workshop will address fundamental principles of data visualization using real-world examples to demonstrate how improvements in graphs can make a difference in understanding and communicating insights drawn from data. On Day 2, you will be able to practice your newly acquired skills through hands-on exercises using Tableau – a powerful business intelligence platform that helps turn data into insights.

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(12 INFORMS PDUs)

The PDUs earned through this non-credit-bearing course can be used by CAP and aCAP certificants to satisfy the 30 PDUs needed to renew their certification every three (3) years. More Info.

Topics Covered

Day 1: Storytelling and Data Visualization Principles

  • The basics of perception for the human eye
  • What makes a graph honest, clear, helpful, and efficient
  • Tips on how to tell a story based on the data

 

Day 2: Data Visualization Hands-on

  • Explore key Tableau features and workspace
  • Create visualizations using Tableau
  • Combine visualizations into dashboards in Tableau
  • Create a data story using Tableau

Learning Outcomes

Upon completion of this workshop, you should be able to:

  • Avoid major but common mistakes of data visualization
  • Apply a process to question data and explore data visually
  • Ask the right questions of data before creating graphs
  • Choose the right graphs to visualize a given insight
  • Apply methods to draw the attention of an audience
  • Create different types of visualizations in Tableau
  • Combine visualizations into an interactive dashboard or a story
  • Create calculated fields to create more robust visualizations
  • Create compelling stories and insightful dashboards
  • Share visualizations with your team and the world

Notes

You may bring your own laptop or use one of the computers provided in class.

Who Should Attend?

Professionals working with data who wish to improve their data visualization and storytelling skills.

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Section(s) offered
Section Title
Data Visualization & Storytelling with Tableau
Language of Delivery
English
Type
Workshop
Days
W, Th
Time
9:00AM to 4:00PM
Dates
Oct 30, 2024 to Oct 31, 2024
Schedule and Location
Contact Hours
12.0
Delivery Format(s)
Course Fee(s)
Tuition Fee non-credit $1,095.00
Drop Request Deadline
Oct 23, 2024
Transfer Request Deadline
Oct 23, 2024
Withdrawal Request Deadline
Oct 30, 2024
Section Notes

Topics Covered

Day 1: Storytelling and Data Visualization Principles

  • The basics of perception for the human eye.
  • What makes a graph honest, clear, helpful, and efficient.
  • Tips on how to tell a story based on the data.

 

Day 2: Data Visualization Hands-on with Tableau

  • Explore key Tableau features and workspace
  • Create visualizations using Tableau
  • Combine visualizations into dashboards in Tableau
  • Create a data story using Tableau

Cancellation Policy

All cancellation & substitution requests must be made in writing to pce.scs@mcgill.ca.

  • Receive a full refund if your cancellation request is received up to 7 days prior to the start date of the workshop.
  • Receive a refund minus $50 cancellation fee if your cancellation request is received within 7 days prior to the start date of the workshop.
  • No Refunds are issued if no written notice is given prior to the start of the workshop.

Please note that if no notice is given prior to the start of the event(s) and you fail to attend, you will be liable for the full course fee.
A minimum number of registrations is required for this course section to be offered. The School reserves the right to cancel any course section when a minimum number of registrations has not been reached 7 days prior to the start date. In the event of a cancellation, the course fee will be refunded in full.

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