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Friday, April 14

Features

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The First 100 Days: Esteemed Panel Discusses Trump Administration, April 21 at the Rockville Campus

Need to Know

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Ms. Surayya Johnson Appointed Adult Student Services Program Manager

Governance

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Elections Results Posted Online

Guest Lectures

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Writers Meghan Kenny and Marian Crotty to Visit Rockville Campus

From the Board of Trustees

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Board of Trustees Public Meeting Wednesday, April 19, 2017

Transfer News

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Final Days to Register for the Transfer Ambassador Training

HRSTM

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Arab American Heritage Month

Campus Sports News

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70 Players for 70 Years! MC Baseball Alumni Day is April 22!

MC Events

It's Academic

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The April 10 Edition of the Curriculum Newsletter Is Available Online

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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April 17: Learn About Transgender Inclusion on Campus Including Restroom Issues

Other

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Political Science Class Visits Courts of Appeals in Annapolis

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 14 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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