Data Science in R (Online)

Click for a hub of Extension resources related to the current COVID-19 situation.

Agency

Center for Wildlife Studies

Location

Online

Job Category

Training

Salary

N/A

Start Date

12/13/2021

Last Date to Apply

12/12/2021

Website

https://www.centerforwildlifestudies.org/courses/r-intro-online-2021-3

Description

COURSE DESCRIPTION: Learn the basic concepts of data science in R. Examples used in learning are tailored to the needs of students, researchers, and professionals in wildlife- and ecology-related disciplines. TOPICS: -Introduction to R and RStudio -R Basics -Packages & Creating Data Frames -Importing Data -Tidying Data -Combining Datasets -Data Transformation -Visualizing Data FORMAT: This is an intensive 1-week course that you can learn at your own pace over four weeks. Watch prerecorded lectures, work on problem sets, and receive live instructor support the first week (Dec. 13-17: 9:00-12:00 and 18:00-21:00 EDT) via discussion forums, by email, or during scheduled phone/Zoom appointments. During the next three weeks, students will have daily, but limited, instructor support and feedback about course materials but will have the option to work with an instructor on a personal project. DATES: December 13, 2021 - January 9, 2022 COST: Early bird course fee (ends Nov 14): $500 professional / $400 student *Prerequisite for our Introduction to Ecological Modeling in R course. Take our course combo to save $25. CONTINUING EDUCATION CREDIT: Attendance at this course has been pre-approved by The Wildlife Society for 21 CEUs in Category I of the Certified Wildlife Biologist® Renewal program and Category I of the Professional Development Certificate program. See our continuing education credit page for details. SCHOLARSHIPS: Full and partial scholarships are available to participants from countries designated as “lower income” and “lower middle income” in the World Bank List of Economies. Please email us directly to apply.

Qualifications

PREREQUISITES: No prior experience using R is expected.

Contact Person

Jessica Kennelly

Contact Phone

207-358-9734

Contact eMail

[email protected]

Bookmark the permalink .

Comments are closed.