The Nordic Society for Veterinary Epidemiology (NOSOVE) is an informal organization with the vision of advancing veterinary epidemiology. The volunteering board aim to fulfill the vision by providing courses and opportunities to socialise and strengthen the network among post graduate students, researchers and others with an interest in epidemiology. Events are presented through the society network (blogspot).
NOSOVE started in 1988 as a collaboration between the Nordic countries Denmark, Finland, Iceland, Norway and Sweden, and has expanded to include the Baltic countries, but welcome members and participants from all countries.

Tuesday 23 June 2015

Course announcement: Learn the fundamentals of R PROGRAMMING, DATA ANALYSIS, AND DATA APP DEVELOPMENT

Learn the fundamentals of
R PROGRAMMING, DATA ANALYSIS, AND DATA APP DEVELOPMENT
starting June 22.

Gain hands-on experience in one of the world’s fastest-growing fields, with a comprehensive course sequence from Johns Hopkins University and a hands-on project from leading keyboard app developer SwiftKey.
VIEW SPECIALIZATION

The Data Science Specialization takes you from novice to expert in only nine short courses. When you complete the full sequence, including a Capstone Project created with leading smartphone keyboard app developer SwiftKey, you’ll have the tools you need to draw powerful insights from any complex dataset.
You’ll learn to:
  • Work with common data science tools, including GitHub, R packages, and RStudio
  • Create organized datasets, graphics, and summaries
  • Draw conclusions from data using a variety of inferential methods
  • Develop simple machine learning algorithms and user-facing data applications
Hear more from the Specialization professors

Brian Caffo, PhD 

Jeff Leek, PhD

Roger D. Peng, PhD


The first of nine four-week courses
starts June 22.
ENROLL TODAY

Learner Outcome
“I never thought about making a switch into Data Science. I enjoyed many years as a teacher, but I wanted a new intellectual challenge in a cutting-edge field that combined my passions for mathematics and technology. Data science was an ideal fit, but it seemed daunting—I didn't know where to begin. Additionally, the time and cost seemed beyond my reach.

When I heard about JHU's Data Science Specialization, it seemed ideal for what I wanted to learn and at my pace of life and I enrolled immediately. After completing the courses and the Capstone Project, a recruiter found my profile via LinkedIn which had my portfolio of work on GitHub I developed through the Specialization. Throughout the interview process, I referred to the projects and problems I worked on in the Specialization.

I’m now employed at one of the leading insurance and financial services companies in the world.”

- LUCAS A., USA, Data Scientist


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