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Thursday, April 20

Features

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April 27, Celebrate "Take Your Daughter and Sons to Work Day" at All Three Campuses!

Need to Know

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Financial Aid and Scholarship Offices Close at Noon Today

MC in the News

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Articulation, Transfer and Academic Services Manager Seth Kamen on the Kojo Nnamdi Show

Governance

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Staff Council Recommendations Endorsed by College Council

Transfer News

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USG Open House, April 22 Beginning at 8:30 a.m.

HRSTM

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Arab American Heritage Month

College/Campus News

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All Invited to the Spring MC Pride and Allies Meeting, May 5

MC Events

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"Words Matter: They Frame Our World" Seven-Day Symposium on the Germantown Campus Starts April 21

Arts at MC

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Artwalk! This Week at MC-Germantown

It's Academic

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Next TEAS Information Session: April 21 Germantown Campus

Commencement Update

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Volunteers Needed for May 19 Commencement - 70th Anniversary

Professional Development

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

Student Affairs

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Office of Student Life on the Takoma Park/Silver Spring Campus Closed Monday, April 24

Community Engagement

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HERTime2shine Family Fun Day April 22, Silver Spring Civic Building

IT@MC

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Beware of Latest Phishing E-mails

Workforce Development

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Become a Veterinary Assistant

Accolades

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MC Faculty and Staff Present at the League for Innovations in the Community College Conference

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

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Category: Professional Development

Published: Apr 20 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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