Instructor-Led On-Site Workshop

Immersive one day on-site course providing teams of up to 30 with hands-on instruction

USD 19,500.00
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Bill  Shander, Instructor - Two-Day Data Storytelling, Infographics and Visualization Workshop for Organizations

Bill Shander

Bill Shander is Founder of Beehive Media, a Boston-based data visualization and information design consultancy. Bill specializes in creating interactive experiences for thought leadership, research, advocacy, and knowledge management. Clients over the years have included the World Bank, United Nations, PricewaterhouseCoopers, Harvard University, Facebook, and the EPA.

Instructor: Bill Shander

Learn the art and science of telling compelling visual communications with data.

  • Learn the strategies for creating memorable and effective data visualization & infographics for your organization. 
  • Instructor has conducted his visualization workshops with Facebook, The United Nations, and Harvard University. 
  • Curriculum designed for enterprise level clients with teams of up to 30. 

Course Description

Learn the art and science, the theory and practical hands-on tactics and skills necessary for creating compelling communications experiences based on surveys, scientific research, public or proprietary data sources. In individual and team exercises, you will work your way up from basic visual thinking exercises to creating full outlines and plans for static and/or interactive infographics. You will practice converting abstract ideas and data into visuals, allowing you to conceptualize and produce a complete infographic that could be handed to a designer for collaboration and execution. Join Bill Shander, data visualization expert and top-rated workshop presenter, as he walks through two days of curriculum specially designed for different members of your team. Space is limited (the event is restricted to 30 people) – which means you have a lot of access to Bill’s expertise. In this very hands-on practical and intimate setting, you will be exposed to some lecture and a lot of hands-on exercises, allowing students to learn by doing, not just watching and listening. Learn: – Strategies for creating memorable and effective infographics for your organization – How to think about data and the visual communication of data – About information hierarchy and data visualization best practices – The neuroscience and psychology behind how your audience will receive your infographics – About research into best practices for data design and communications – Exploring your data visually – Picking the right chart for your data – Working with (and visualizing) more complex data sets – Exploration of a variety of visualization tools – Storytelling with data

What am I going to get from this course?

  • Oversee a data communications project - whether an infographic, data storytelling piece or data dashboard
  • Understand best practices in data storytelling from a research-backed perspective
  • Choose the best form to visualize and communicate their data to any audience
  • Weave a narrative from data-driven content
  • Pick the best visual form (charts) for your data

Prerequisites and Target Audience

What will students need to know or do before starting this course?

You don't really need to know any specific skills to take this course. This course has been delivered successfully to communications departments with zero data analytics skills, as well as to consulting firms with deep analytics skills. The only thing you need for this workshop is a desire to improve your data communications and an open mind.

Who should take this course? Who should not?

This course is specifically designed for people who really want to improve their ability to communicate about and with data. This is not for helping you improve your analytics skillset. It's all about how to think about an audience and package up your data in a way that connects directly with your audience.


Module 1: Day 1

Lecture 1 Opening Presentation

To start the day, I discuss the primary challenges communicators face trying to reach audiences in today’s world. The solution to these challenges are many, but revolve primarily around my “4X4 Model for Knowledge Content”, which is a simple framework for presenting content to people in different layers and with key aspects, including visualization and storytelling. I then walk through the four-step process required to turn data into visual narratives, interspersed with exercises and lots of research-backed best practices along the way.

Lecture 2 4x4 Model Exercise

Practice getting to a narrow, focused idea from a large complex pile of information.

Lecture 3 Data Storytelling Exercise

Practice turning numbers into narrative using outlining techniques.

Lecture 4 Group (Data) Analysis

We review some basic data analysis tactics (when this workshop is delivered to communications staff and not analysts!)

Lecture 5 Warmup Exercises

We spend a half hour doing some great warmup whiteboard exercises, getting everyone thinking visually and expressing abstract ideas in visual form. This is fun and really helps build confidence on the part of the group.

Lecture 6 Team Exercise

We break into small teams (of 5-6 people) and create a relatively straightforward infographic (on paper/whiteboard) using a concept I bring with me. If you have a project you’re working on that we can do as a team exercise, we can do this instead!

Lecture 7 Proportionality Conversation/Research

One of the challenges people face is the many ways you can visualize certain kinds of data. The most common is proportionality (everyone goes right to the pie chart!) In this short talk, we discuss other ways to visualize proportionality and I share some research that is relevant.

Lecture 8 Tools

By the end of the day, if not sooner, people are starting to feel they can do the conceptual work and want to learn more about what tools they can use. I talk about the many categories of tools available and briefly demo a couple of them. But this is a very high level overview of an endless abyss of information!

Module 2: Day 2

Lecture 9 Math & Statistics!

Yes, I think it’s important to be sure everyone in the room understands some VERY BASIC statistical concepts. I am NOT a statistician – this will not go deep, don’t be afraid. But it is critical that you know the difference between Mean and Median – and why you might use one or the other – plus a few other basics. This content is included when this workshop is delivered to an audience that is not made up of data analysts or others who already know this information.

Lecture 10 Visual Perception and Design

Understanding how humans process visual information will help you create visuals (charts, graphs, maps and infographics) that communicate effectively. We will review the science behind design best practices to help you create more impactful visual depictions of data.

Lecture 11 Picking the Right Chart Exercise

Picking the right chart to visualize the data you have and to emphasize what you’re trying to emphasize is an art, but there are definitely rules and best practices that can help. We will do a group exercise to work those muscles a bit.

Lecture 12 Team Exercise Deep Dive

This is the big daddy of the exercises – we spend the entire afternoon researching, analyzing, visualizing and storytelling with data. Once again, I will come with an exercise or we can work with your content.


6 Reviews

Aldy K

May, 2017

A very good discussion-based course that can help improve ability to communicate effectively about data. This course helped learn the challenges revolving around “4X4 Model for Knowledge Content”, which is a simple framework for presenting content to people in different layers and with key aspects, including visualization and storytelling. It is a good collaboraive learning experience. The walk through of the four-step process required to turn data into visual narratives, interspersed with exercises and lots of research-backed best practices was impressive.

Tyler K

May, 2017

An excellent course. I stand gained many communicative skills from this workshop, though I had no analytic skills. Thanks to the instructor for his innovative way of turoring. The data communications project was very interesting and thought provoking.

Frank H

May, 2017

This is a very helpful course to concretise my communication skills and many ways to visualize certain kinds of data. The instructor was friendly and professional. Thanks to the instructor for his innovative way of turoring.

James G

July, 2017

The data descriptions project was quite attractive and thought provoking. A particularly useful discourse-centered course of study to assist with using data visualization to analyze datasets.

Gaurav H

July, 2017

This is a truly valuable course to hone my presentation techniques and many paths to visualize specific sets of data. The march through the four-level method needed to turn around data into visible descriptions, infused with activities and areas of experimentation-supported best methods was remarkable.

Raju N

July, 2017

The instructor was pleasant and extremely well trained. Thanks to the instructor for his inventive technique of tutoring.This class helped pick up the demands circling around Knowledge Content, which is a basic structure for displaying subject matter to individuals in various strata and with essential features, consisting of storytelling and visualization.