Online Program

TA(s): Amanda Gadrow, Rstudio and Jennifer Thompson, Vanderbilt University Medical Center

Shiny is an R package that makes it easy to build interactive web apps straight from R. With Shiny, you can create standalone apps, embed them in R Markdown documents, build dashboards, and much more. This course will introduce you to the basics of building web applications and dashboards with Shiny, essentials of reactive programming, and how to customize and deploy your apps for others to use. If you want to take a fresh, interactive approach to telling your data story, let users interact with your data and your analysis, and do it all with R, this workshop is for you! Please bring a laptop with you to the course.

Target Audience

Some experience with R is assumed, however no experience with Shiny is necessary.

Outline and Objectives

- Design a Shiny app from scratch
- Understand the essentials of reactive programming in Shiny
- Customize reactive objects in your app for better performance
- Customize the user interface of your app
- Build interactive dashboards
- Explore deployment options for sharing your app with an audience

About the Instructor

Mine Çetinkaya-Rundel is the Director of Undergraduate Studies and Associate Professor of the Practice in the Department of Statistical Science at Duke University as well as a Professional Educator at RStudio. Mine’s work focuses on innovation in statistics pedagogy, with an emphasis on computation, reproducible research, student-centered learning, and open-source education. Mine works on integrating computation into the undergraduate statistics curriculum, using reproducible research methodologies and analysis of real and complex datasets. She also organizes ASA DataFest, works on the OpenIntro project, and teaches the popular Statistics with R MOOC on Coursera as well as numerous courses on DataCamp. In 2016 Mine received the ASA Waller Education Award. She is also the recipient of the 2015 JSM Best Paper Award in the Section on Teaching Statistics in the Health Sciences and the 2014 Duke University David and Janet Vaughan Brooks Award for Teaching Excellence. Mine is also the Chair-elect of the ASA's Section on Statistical Education.

TA: Ran Duan, Eli Lilly & Company

As we continue to learn and grow as statisticians, data scientists, information analysts, there are essential skills, knowledge and insights that can help us significantly in our career path. Many of us experience being part of a multi-disciplinary project team, or working groups or interact with cross-functional leaders at various levels. The degree of influence and impact is a function of strong leadership skills, diversity and authenticity. The different strategic aspects to being influential and impactful will be discussed in this short course.

Target Audience

Industry, FDA, Academia

Outline and Objectives

You will leave with key ideas on how to enhance your leadership skills thereby increasing your influence and impact

About the Instructor

Shanthi has over 20 years of experience in the Pharmaceutical Industry. She joined
Lilly in late 1995 with a PhD in Statistics from Virginia Tech. Since then she has held
multiple Director roles in the areas of Manufacturing Statistics, Chemical Product
Research and Development, and Regulatory Affairs, and Project Management. Throughout her career she has driven statistical and scientific thinking supporting early and late phase portfolio and has helped develop talent within the organization. She is currently the Senior Director in the Global Statistical Sciences organization, leading the Diabetes and Diabetes Complications therapeutic area. She currently sponsors the Biometrics Diversity and Inclusion effort to help further unleash our potentials and further innovation across Biometrics