Workshop 1: 4-Hour Storytelling Workshop

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Level: Beginner

Overview: While data increases it’s influence in making business decisions and driving strategies, sharing insights requires the understanding of story to make the data come to life. Story means the way in which we reveal the problem, the solution and the ultimate impact that data will inform. This class will focus on how to take a basic data set and turn it into a compelling story that will resonate with your business partners. Bring a data set you are working on to apply during class.

Note: This class will not address data visualization.


Ruth Milligan

Founder / Managing Director

As an executive speech coach and trainer, Ruth Milligan now lives at the intersection of deep knowledge fields like science and research to medicine and data / analytics married with speakers’ desires to be highly resonating and engaging. This is a culmination her nearly 30 year career practicing some form of communications. Ruth founded Articulation in early 2010 after hosting one of the first TEDx events, TEDxColumbus, which is also now one of the longest running TEDx programs in the world. Since then she and her team have coached over 500 people in TEDx or TED-style talks alongside training thousands in their original classes on content framing, storytelling, public speaking, executive presence and accessing science. Her processional passion is to help organizations of all sizes create storytelling cultures that elevate the opportunities for associates and executives to practice and deliver great presentations. She believes that a great talk can come from a nervous, reluctant or beginning speaker, given the right feedback and development environment. After ten years of curating, organizing and hosting TEDx events, she is also a seasoned host, emcee and consultant to a wide range of events from major donor events at universities to pitch events inside data and analytics teams. Ruth has been the official speaker coach for the Women in Analytics presenters since 2017 and helped to host the main stage presenters in 2018. She lives in Columbus with her husband and two teenage children.


Sandy Steiger

Director of the Center for Analytics & Data Science
Miami University

As Director of the Center for Analytics and Data Science, Sandy Steiger is responsible for providing co-curricular experiences that allow students to embrace the application of analytics and data science. Prior to joining Miami University, Steiger spent 15 years at 84.51° and dunnhumbyUSA. Her most recent role was Vice President, Data Science & Analytics, where she was responsible for developing a strategic roadmap that would bring transformational, innovative thinking to 84.51°, focused on driving data science at scale across the Enterprise. Steiger holds a Master of Science in Statistics from Miami University, Ohio, and a Bachelor of Arts in Mathematics and Business from Mount St. Joseph University.

Date: August 19th, 2020

Time: 8:00 AM - 12:00 PM

Workshop 2: 4-Hour Intro Data Science in R Workshop

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Level: Intermediate

Overview: Are you sick and tired of manually manipulating data in excel? Are you interested in learning one of the most popular FREE (i.e., open source) data science programming languages out there? WIA's Introduction to R workshop will provide a complete crash course on the full data science workflow from cleaning and wrangling to visualization, modeling, and repeatable reporting. Two RStudio Certified Tidyverse Instructors will cover the essentials of popular R packages including ggplot2, tidyr, dplyr, tidymodels, and rmarkdown, . Code will be made available to attendees via RStudio Cloud prior to and following this hands-on-keyboard session, allowing beginner level users to dive right in and revisit materials after training. No programming experience is required for the workshop, however interested attendees are encouraged to explore the online book "R for Data Science" which can be found at


Ezgi Karaesmen

PhD Student
The Ohio State University

Ezgi Karaesmen is a PhD candidate at the Ohio State University College of Pharmacy. She is a genomic data scientist with cancer biology background. Currently, she works with large genomic and clinical datasets in the context of bone marrow transplants. Broadly, she is interested in associations of germline genetic variants with survival events of leukemia patients following their transplant.

Katie Sasso

Katie Sasso-Schafer

Data Scientist
Columbus Collaboratory

Katie Sasso-Schafer, Ph.D. is a Data Scientist at the Columbus Collaboratory. Katie received her Ph.D. from The Ohio State University with a focus on Experimental and Quantitative (minor) Psychology. During her Ph.D. program she worked as a graduate research associate at the Nationwide Insurance Center for Advanced Customer Insights, using experimental methods and statistical analyses to optimize customer outreach and develop novel risk assessment strategies. At the Columbus Collaboratory, Katie works on a variety of data science projects across several industries. She also enjoys leading Use Case Discovery Workshops and managing project progress across the team. Outside of work, Katie is an avid R user and co-organizer of R-Ladies Columbus meet up.

Date: August 19th, 2020

Time: 8:00 AM - 12:00 PM

Workshop 2: 4-Hour AI and Marketing Attribution Analysis

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Level: Intermediate

Overview:​ Marketers want to know what’s working and where leads are coming from. There is only so much budget to go around, so prioritizing your digital channels is essential. In this session, Katie will review the different kinds of attribution analysis you can get out of the box and why you’re better off building your own.

You’ll learn:

  • The different types of models available in out of the box
  • What goes into a building your own model
  • How to structure your project for success

Katie Robbert

Trust Insights

As CEO of Trust Insights, Katie oversees the growth of the company, manages operations and product commercialization, and sets overall strategy. Her expertise includes strategic planning, marketing operations management, organizational behavior, and market research.

Date: August 19th, 2020

Time: 1:00 PM - 5:00 PM

Workshop 2: 4-Hour Preprocessing Data for Machine Learning in Python

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Level: Intermediate

Overview:​ Getting your data ready for modeling is the essential first step in the machine learning process. In this workshop, you'll learn the basics of how and when to perform data processing. You'll learn: how to perform basic techniques such as dealing with missing data and incorrect data types, how to standardize your data so that it's in the right form for modeling, the benefits of creating new features to leverage the information in your dataset, and the process for selecting the best features to improve your model fit.


Sarah Guido

Senior Data Scientist

Sarah is a Senior Data Scientist at InVision where she studies user collaboration through data. She is an accomplished conference speaker and O'Reilly Media author, and enjoys making data science as accessible as possible to a broad audience. Sarah attended graduate school at the University of Michigan's School of Information.

Date: August 19th, 2020

Time: 1:00 PM - 5:00 PM

Workshop 2: 6-Hour Data Visualization and Storytelling Masterclass

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Level: Intermediate



When you are able to connect with your audience in a way they understand, they will be much more receptive to your message. Doing so requires thoughtful research into the deep desires of your audience. We'll discuss audience needs assessment techniques and a robust presentation planning framework that works.

Topics covered:

  • What your stakeholders are thinking but aren't telling you
  • Audience needs assessment + interview strategies
  • Transforming statements to insights
  • Creating recommendations that get acted upon
  • A proven influential presentation planning framework
  • Content brainstorming techniques
  • Digitizing and refining your content plan


The most important, innovative, or valuable ideas can be lost if they're communicated poorly. By learning to think like a graphic and data designer, you'll be able to present your information in a clear and compelling way. We'll review neuroscience-backed design principles, how to work with imagery, and how to avoid the most common visual pitfalls.

You'll learn time-saving tricks on how to customize a PowerPoint template with client branding for reuse, quick formatting tricks for basic charts, and my best keyboard shortcuts to get things out the door fast.


Students are introduced to Lea's proprietary PICA Protocol™, my prescription for healthy, actionable data stories. It includes the anatomy of a healthy data viz, a full framework for visualizing analytical narrative, as well as alternatives for avoiding the most common data visualization mistakes.

Topics covered:

  • Alternative strategies to death by bullet points
  • White space, typeface, color, imagery, and other design fundamentals
  • Time-saving Powerpoint productivity tricks
  • Common data visualization violations
  • Creative animation techniques
  • Lea's proprietary Chart Detox Checklist

Lea Pica

Founder | Analytics Presentation & Data Visualization Consulting

Coming Soon.

Date: August 19th, 2020

Time: 10:00 AM - 5:00 PM