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Wednesday, April 19

Features

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

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

From the Board of Trustees

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Board of Trustees Public Meeting Wednesday, April 19, 2017

HRSTM

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Arab American Heritage Month

College/Campus News

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FaceTime FY'17 Year-end Review Presented by Dr. Janet Wormack, May 10 LIVE online!

Guest Lectures

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A Mathematical Tour of the National Mall, Wednesday in HT304

MC Events

It's Academic

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Student Scholarships for London Study Abroad Available!

Arts at MC

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Artwalk! This Week at MC-Germantown

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

Campus Sports News

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Raptors Baseball Is 16-16 Overall, 6-8 in MDJUCO

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

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 19 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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