The National Consortium for Data Science, a collaboration of leaders in academia, industry, and government formed to address the data challenges and opportunities of the 21st century is hosting Data Matters, a virtual short-course series, 8/9-13/2021, in partnership with RENCI and the Odum Institute.
“Data Matters” Virtual Short-Course Series 8/9-13
This series is a great way to learn new skills and expand your knowledge on a subject as you apply for internships, jobs, and promotions. Data Matters™ is a week-long series of one and two-day courses aimed at students and professionals in business, research, and government. Sponsored by the Odum Institute for Research in Social Science at UNC-Chapel Hill, the National Consortium for Data Science, and RENCI, the short-course series gives students the chance to learn about a wide range of topics in data science, analytics, visualization, curation, and more from expert instructors. Learn more on the website.
Among the classes available are:
- Introduction to Programming in R, Jonathan Duggins. Statistical programming is an integral part of many data-intensive careers and data literacy, and programming skills have become a necessary component of employment in many industries. This course begins with necessary concepts for new programmers—both general and statistical—and explores some necessary programming topics for any job that utilizes data.
- Text Analysis Using R, Alison Blaine. This course explains how to clean and analyze textual data using R, including both raw and structured texts. It will cover multiple hands-on approaches to getting data into R and applying analytical methods to it, with a focus on techniques from the fields of text mining and Natural Language Processing.
- Using Linked Data, Jim Balhoff. Linked data technologies provide the means to create flexible, dynamic knowledge graphs using open standards. This course offers an introduction to linked data and the semantic web tools underlying its use.
- R for Automating Workflow & Sharing Work, Justin Post. The course provides participants an introduction to utilizing R for writing reproducible reports and presentations that easily embed R output, using online repositories and version control software for collaboration, creation of basic websites using R, and the development of interactive dashboards and web applets.