Data Matters

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August 7-11, 2017 Hunt Library, Centennial Campus

About

Data Matters Classroom

The Data Science Initiative is excited to announce registration is open for Data Matters 2017! Head over to http://datamatters.org/ for all course descriptions, instructor bios, registration, and logistic information.

In partnership with the Odum Institute for Research in Social Science at UNC-Chapel Hill and the National Consortium for Data Science (NCDS), the Data Science Initiative at NC State is sponsoring “Data Matters: Data Science Short Course Series”, a week-long series of classes for faculty, staff, students, researchers, and others who wish to increase their skills in data analytics and integrate data science methods into their research designs and skillsets. Scholars, analysts, and researchers from all disciplines and industries are welcome. Both one- and two-day courses will be offered; participants are welcome to register for one, two, or three classes.

Agenda

The Data Matters Short Course Series is structured in three blocks: August 7-8, August 9, and August 10-11. Courses are offered concurrently in each block; you can choose only one course from each block. Courses are independent of each other; there is no predetermined sequence. Courses will run from 10 a.m. to 4:15 p.m. each day with morning and afternoon breaks and an hour and fifteen minutes for lunch.

Data Matters Talking

Data Matters Course Offerings

DAY 1-2
August 7-8, 10:00 am – 4:15 pm
– Data Curation: Managing Data throughout the Research Lifecycle
– Introduction to Data Science Using R
– Introduction to Data Science Using R
– Introduction to Effective Information Visualization
– Working with Messy Data

DAY 3
August 9, 10:00 am – 4:15 pm
– Introduction to Big Data and Machine Learning for Survey Researchers and Social Scientists
– Introduction to Geospatial Analytics
– Open(ing) Data: Considerations in Data Sharing and Reuse
– Programming in R
– Programming in R

DAY 4-5
August 10-11, 10:00 am – 4:15 pm
– Collecting, Classifying, and Analyzing Textual Data Using R
– Intermediate Programming in R
– Introduction to Data Mining and Machine Learning
– Introduction to Data Mining and Machine Learning
– Visualization for Data Science in R

Details

Where:  Duke Energy Hall, James B. Hunt Jr. Library, North Carolina State University Centennial Campus, 1070 Partners Way, Raleigh, NC 27606

When: August 7 – 11, 2017, 10:00 – 4:15

Parking: Once registered, you will receive information regarding parking passes. NC State Parking Map