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Data Visualization and Storytelling: Finding and Communicating Data Insights

A TDWI Certificate Track

Virtual Classroom
September 23–25, 2024
9:00am – 5:00pm CT

David Langer

David Langer

Dave on Data

Growing audiences are turning to data to drive smarter decisions, and many businesses are expanding data access through self-service programs. But access to data does not guarantee success. This three-day program is designed to build the skills you need to find insights in data, visualize them appropriately, and communicate your discoveries for maximum business impact.

TDWI experts will teach you the principles of data visualization, building the foundations needed to work with data to make smarter decisions. You will learn how to address business challenges through exploratory data analysis (EDA) and practice these techniques in hands-on labs using Python and open source visualization libraries. (No experience with Python required.) Finally, you will learn data storytelling techniques to communicate data-driven insights to others, driving action and change.

Data-driven decision-making is no longer the exclusive domain of elite data scientists. By the end of this intensive three-day program, you will have built and practiced the skills that you need to solve problems business problems using data. Register today!

Attend all three days and earn a certificate.

  • Monday, September 23

    The advent of big data, with the increasing volume and velocity of data, requires visualization as a technique to compress large volumes of data into digestible presentations and to observe streaming data in motion. Elegant and well-designed data visualizations often appear to be easy because skilled visual developers are able to hide the complexities and the hard work behind the scenes. Get started by learning the fundamentals of data visualization.

  • Tuesday, September 24

    Although most people are familiar with data visualization in the context of business intelligence dashboards, this is only the tip of the iceberg. In this hands-on course, you will learn to use visualizations the way data scientists use them—to get to the “why” of what’s happening in the business.

    In this course, you will learn to use visualizations like histograms, scatter plots, and box plots to perform exploratory data analysis (EDA). EDA is not only a fundamental skill of data analysts/scientists, it’s also a fundamental skill of any data-literate professional.

  • Wednesday, September 24

    The explosion of data has made data visualization a core competency for organizations as insights can no longer be derived from rows and columns. Analytical insights start and end with the story and storytelling skills are essential for understanding the message and gaining value from the data. Storytelling involves understanding the message, understanding the audience, and crafting the visuals to deliver insights to stakeholders.


  3-Day Training 2-Day Training 1-Day Training
Super Early Bird Discount Save 20% by Aug 2 $1,840 $1,465 $835
Early Bird Discount Save 10% by Aug 30
$2,070 $1,650 $935
Regular Registration Sep 1 - 20 $2,300 $1,830 $1,040


  • Early Bird Discounts

    Receive a 20% discount if you register by Aug 2.
    Receive a 10% discount if you register by Aug 30.

  • Member Discount

    Receive a 10% discount on your registration. Membership status will be validated when your registration is processed.

  • Team Discounts

    Teams of 3–9 people save 10% by using code TEAM. Groups of 10 or more will save 20% with code TEAM20.

REFUND AND CANCELLATION: You may substitute one person in your place by contacting at least five business days prior to the event. If you must cancel all or part of your registration, your refund request must be sent to no later than September 13, 2024. Your fee will be returned, less a 20% cancellation fee. No refunds will be issued after September 13, 2024.

Reserve your spot at the seminar today!

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Data Visualization and Storytelling: Finding and Communicating Data Insights Seminar

September 30–October 2, 2024