Date(s) - 02/18/2021 - 02/20/2021
10:00 am - 5:00 pm
R is a free and open-source package for statistical analysis that is widely used in the social, health, physical, and computational sciences. Researchers gravitate to R because it is powerful, flexible, and has excellent graphics capabilities. It also has a large and rapidly growing community of users.
This course is designed as an introduction to R for those who are looking to use R for applied statistical tasks. Topics include data coding and management as well how to perform basic descriptive, bivariate, and multivariate analyses. We will also address the fundamentals of programming in R, using plots to explore data, and how R can simplify the process of exporting the results from statistical analyses. Time permitting, we can also discuss other topics of interest to course participants. To be clear, this course does not teach the principles of data management or statistical analysis. Instead, it assumes prior knowledge of these topics and focuses on explaining how they can be implemented in R.
The course runs from Thursday, February 18, 2021 – Saturday, February 20, 2021.
Each day will follow this schedule:
10:00am-2:00pm ET: Live lecture via Zoom
4:00pm-5:00pm ET: Live “office hour” via Zoom (Thursday and Friday only)
The fee of $895 includes all course materials. PayPal and all major credit cards are accepted.
Read more and find out the details at the event page here.