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Wednesday, April 12

Features

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"The War in Syria Cannot Be Won. But It Can Be Ended," Today at 2 p.m. in Rockville, TC 136

Need to Know

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Blue Ribbon Taskforce on Spending for Student Success - Campus Sessions

Governance

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Elections Results Posted Online

Transfer News

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Final Days to Register for the Transfer Ambassador Training

HRSTM

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Arab American Heritage Month

College/Campus News

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Register Now for Summer STEM Program at CEE

Guest Lectures

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STEM Talk on April 17, HT 216, Germantown Campus

MC Events

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Humanities Students' Cherry Blossom Conference, April 21

Arts at MC

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Spring Dance Concert Featuring the Montgomery College-Rockville Dance Company, April 28-29

It's Academic

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Hillman Entrepreneurs Program Open House Friday

Professional Development

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ELITE Workshop: R You Ready? An Introduction to R Statistical Software

Student Affairs

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Apil 13: Songwriters Against Sexual Assault

Campus Sports News

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Spring Fest Is Just Around the Corner! Join Us Wednesday, April 12 at the Rockville Softball Field

Other

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Food Truck Bonanza at All Three Campuses!

Workforce Development

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Brown Bag Lunch April 13: WD&CE Health Science - Over the Years with Diane Barberesi

ELITE Workshop: R You Ready? An Introduction to R Statistical Software

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Category: Professional Development

Published: Apr 12 2017 12:00AM

This workshop is an introduction to r-code, which is free, open source software, typically used to analyze data. We will show how it has been used in our classes, show students' work with the code, and then participants will work on labs to use the code with various datasets. Multiple disciplines, but in particular, STEM areas, will benefit from using r-code.

Friday, April 21
2 to 3 p.m.
Germantown, HT 301
Facilitators: Rachel Saidi, Elaine Jadacki and Abdirisak Mohamed

Measurable Outcomes: Participants will learn the history of r-code. They will use code to download R Software onto their own computers. They will create graphs and plots using basic code, calculate summary statistics such as mean, median and standard deviation, and they will analyze statistical datasets to calculate linear regression equations.

Related Media

  1. rcode1.png


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