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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Logistics: The webinar will be conducted using the GoToWebinar software platform. A computer with internet access is all you need. GoToWebinar offers audio participation through your computer microphone.
All registered webinar
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For PC-based participants:
- Internet Explorer 7.0 or newer, Mozilla Firefox 4.0 or newer or Google Chrome 5.0 or newer. JavaScript must be enabled.
- Windows 8, 7, Vista, XP or 2003 Server.
- Cable modem, DSL, or better Internet connection.
- Dual-core 2.4GHz CPU or faster with 2GB of RAM or more.
- Participants wishing to connect to audio using VoIP will need a fast Internet connection, a microphone and speakers (or USB headset).
For Mac-based participants:
- Safari 3.0 or newer, Firefox 4.0 or newer or Google Chrome 5.0 or newer. JavaScript must be enabled.
- Mac OS X 10.6 – Snow Leopard or newer.
- Intel processor with 1GB of RAM or more.
- Cable modem, DSL, or better Internet connection.
- Macs have built-in speakers and a microphone with ambient noise reduction that will work well for VoIP.