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How to Talk about Data in the Age of AI

Published by Pearson

Beginner to intermediate content levelBeginner to intermediate

Practical techniques to build your data fluency

  • Speak fluently and confidently about data using data storytelling
  • Improve decision-making by learning to critically question data-based findings and lead difficult data conversations
  • Successfully convey bad or unwelcome news with data, overcome resistance, and turn frustration into motivation

We are living in an increasingly data-driven business world, where data has replaced intuition and experience as the primary basis for decision-making. Using data is essential to identifying business opportunities, predicting customer behavior, evaluating product performances, and understanding market segments; however, we are not all highly data literate or well versed in sophisticated statistical procedures. Consequently, we may suffer from what is known as data anxiety. If you are struggling with data anxiety, you might:

  • Shy away from anything to do with data
  • Feel uncomfortable talking to data analysts
  • Be unable to critically question data-based findings
  • Have anxiety when writing a report or giving a presentation involving data

Overcoming your data anxiety requires data fluency, a skill that gives you the ability to talk competently, clearly, and critically about data with others. Grasping the key concepts of data communication and knowing how to apply them in organizational settings is essential in today’s data-driven world. Improving your data fluency increases your confidence when dealing with data and enables better team decision-making and organizational success.

Expert instructors Prof. Dr. Martin J. Eppler and Dr. Fabienne Bünzli teach you how to boost your data fluency skills by applying the five magic ingredients of data storytelling, handling difficult situations when there are radically different views on data and their implications, and demonstrating how to deliver bad or unwelcome news with data. This interactive course includes a combination of discussions, demos, and exercises.

Career Success Series

The Career Success Series from Pearson addresses essential skills for your personal and professional development in the areas of communication, presentation, critical thinking, teamwork, leadership, problem solving, and resilience. These skills are critical for any industry, any job title, and any career stage – whether you are just starting out or have been in the workforce for years. Expert trainers deliver practical tools and techniques you can use to enhance your resume, excel in your career, or simply enrich your life skills.

What you’ll learn and how you can apply it

  • How to lead meaningful data conversations without fear or inhibition
  • How to speak confidently, concisely, and clearly about data
  • How to address and successfully resolve difficult data situations

And you’ll be able to:

  • Convey a compelling call to action using the data storytelling canvas
  • Visualize data disagreements and learn how to have productive data conversations
  • Clearly explain and deliver bad data-based news

This live event is for you because...

  • You want to level up your data fluency skills to improve your decision quality and performance
  • You want to be an active and valuable contributor to a data-based discussion instead of a passive observer
  • You want to harness the full potential of data
  • You want to cultivate good data conversations within your team
  • You are not sure how to recognize whether data is good or bad

Prerequisites

  • The course does not require specific knowledge about data communication.

Course Set-up

  • A computer with Office programs installed, including Word, PowerPoint, and Excel (or similar programs)

Recommended Preparation

  • Read: Chapter 2, How to Talk about Data. A Visual Guide to Data Fluency by Martin J. Eppler and Fabienne Bünzli (book)

Recommended Follow-up

Schedule

The time frames are only estimates and may vary according to how the class is progressing.

Segment 1: How to Boost Your Data Fluency (25 minutes)

  • What is data fluency and why does it matter?
  • Common barriers to data fluency
  • The first step toward data fluency: How to make sense of your data

Segment 2: The Five Magic Ingredients of Data Storytelling (45 minutes)

  • The five magic ingredients of data storytelling
  • Creating a compelling story with your data using the Data Storytelling Canvas
  • Examples and illustrations
  • Exercise 1: Tell your own data story!
  • Q&A
  • Break (10 minutes)

Segment 3: Handling Disagreements over Data (35 minutes)

  • A four-step approach for data-centered debates
  • Demo and interactive exercise
  • Break (10 minutes)

Segment 4: Delivering Bad News with Data (45 minutes)

  • Types of data-based bad news
  • Framework and communication strategies
  • Exercise 2: Frame bad news as opportunity
  • Group discussion: Review Exercise 2

Course wrap-up, Q&A, and next steps (10 minutes)

Your Instructors

  • Dr. Fabienne Bünzli

    Fabienne Bünzli, Ph.D., is an award-winning researcher and lecturer at the University of St. Gallen. She has also been a visiting assistant professor at The Pennsylvania State University. Fabienne Bünzli studies the persuasive effects of visual communication on individuals’ attitudes and behaviors using quantitative data and statistics. Her work has been published in peer-reviewed journals and has been presented at international conferences. Prior to her work in academia, Fabienne Bünzli gained extensive experience in communications as a PR specialist, media analyst, and journalist.

  • Martin J. Eppler

    Martin J. Eppler, Ph.D., vice rector of the University of St. Gallen, holds the chair of communications management at the School of Management and is a director of the institute for media and communications management. His research interests include data communication, visualization, and analytics biases. He is the author of 23 books and more than 300 academic articles. He has been an advisor and trainer to organizations such as the European Central Bank, the UN, and Swiss Re.

Skills covered

  • Professional Communication
  • Data Science