Webinar: Presented by Chester Ismay and Albert Y. Kim 02:00pm - 03:00pm Eastern Standard
Time, March 14th, 2017
Title : A Fully Customizable Textbook for Introductory Statistics/Data Science Courses
Please sign up to register, link to register :
https://www.causeweb.org/cause/webinar/teaching/2017-03
Authors: Chester Ismay and Albert Y. Kim
Abstract:
Short Description/Abstract: This webinar will provide a guide to creating a user-adaptable
electronic textbook incorporating data visualization, data science, and other relevant
pedagogical concepts into your introductory statistics course. We present our own
introductory statistics and data science textbook available at
http://moderndive.com that:
* Focuses on the entirety of the data/science pipeline from importing data to
visualizing and summarizing data to inferential techniques and developing students as
effective data storytellers
* Blurs the line between lecture and lab
* Uses freely available modern, rich, and complex data sources
* Leverages resampling and simulation to build statistical inference concepts
* Most importantly, provides complete customizability to the instructor and
reproducibility to the student
We’ll discuss how collaboration and crowd-sourcing have and will play a role in our
textbook going forward and other open-source materials we are creating to better support
introductory statistics/data science students learning the skills and tools that
statisticians/data scientists are using today.
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