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Wednesday, November 29

Features

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THIS MORNING: Dean for the Visual, Performing, and Media Arts Open Forum - Candidate #1

Need to Know

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MEMO: Delayed Opening or Closure of College Facilities for Emergency Situations and Inclement Weather Events

Office of the Ombuds

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Dr. Pollard Adopts Ombuds FY17 Recommendations

Compliance Office

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Ethics Focus Groups to Be Held in December

Guest Lectures

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"The Yanks Are Coming!": U.S. Enters World War I, Talk by Dr. Andrew Nolan on Nov. 29

In Memoriam

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Remembrance Event for Sarah Fisher, Dec. 19

From Public Safety

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Montgomery County Smoke Alarm Program Offers Free Home Safety Inspections

HRSTM

Wellness News

Campus Sports News

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Faculty and Staff Appreciation Night at MC's Basketball Doubleheader Wednesday

MC Events

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FRIDAY: WKYS Radio Will Broadcast Live From the TP/SS Campus for World AIDS Day

Arts at MC

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First Ever Community Arts Performance Showcase

It's Academic

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Global Justice Fund Student Scholarships Available

Professional Development

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MC Learns is Holding Two Sessions of Safe Zone Training - Nov. 17 and Dec. 1

Student Affairs

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IMPACT MC Applications Are Due Dec. 8

Employee Extras

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Kiwanis Club of Rockville Annual Pancake and Sausage Breakfast, Dec 2. at the Rockville Campus

Accolades

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Dr. Kristin Jenkins, PT Faculty, Recognized as AAAS Fellow

Montgomery College Introduces Data Science Certifcate

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Category: It's Academic

Published: Nov 29 2017 12:00AM

Data science combines math, statistics, programming and hacking skills, as well as data journalism to gain insight from a growing volume of information produced by an increasingly data-driven world, and to communicate them effectively enough to help solve real-world problems.

Students who earn the certificate will be positioned to meet this new economy's growing demand for a more data-literate workforce in all professions, as well as to fill data analyst and data developer jobs in Montgomery County and the Washington metropolitan area.

The five courses in the program provide a strong foundation for students continuing their studies at four-year institutions and going into data science programs at the master's and doctoral levels.

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