Credential Description
This non-credit course is an introduction to programming in R for basic statistical analyses and data visualization. Specifically, this course will introduce the following: (1) basic use of the R language, such as conditionals, functions, and data structures, (2) how to use R packages, such as tidyverse and ggplot, to manage data and create data visualizations, and (3) various R functions needed for analyzing discrete and continuous variables, such as correlation and regression analyses, z- and t-tests, and Analysis of Variance.
Important: You may be eligible to take this program at NO COST through the IT Workforce Accelerator project. A laptop loan program is also available to those who are eligible to enroll in courses.
Please complete the interest form and someone will email you within 2 business days regarding eligibility and to provide the program registration link.
What You’ll Learn
What You’ll Earn
Upon successful completion, you’ll earn a digital badge that can be shared on your LinkedIn profile, digital resume, or portfolio. Your badge will include details of the competencies you’ve mastered, giving employers a visual verification of your newly acquired skills.
DeMaris Montgomery
Ph.D., Experimental Psychology, University of Florida
M.S., Experimental Psychology, University of Florida
B.S., Psychology, University of Dayton
Dr. Montgomery began teaching at Bradley University after completing her Ph.D. at the University of Florida. Prior to her graduate work at UF, she worked as a computer specialist at General Motors and completed graduate courses in Human Factors Psychology at the University of Dayton. Dr. Montgomery enjoys spending free time reading, traveling, gardening and spending time with family and friends.
Valerie San Juan
B.S., University of Calgary
M.S., University of Calgary
Ph.D., Developmental Psychology, University of Toronto: Ontario Institute for Studies in Education
Dr. San Juan received her Ph.D. in Developmental Psychology and Education from the Ontario Institute for Studies in Education at the University of Toronto. She completed her dissertation under the supervision of Dr. Janet Astington. Following her graduate studies, Dr. San Juan held two concurrent post-doctoral positions. Her first post-graduate position was supervised by Dr. Patricia Ganea at the University of Toronto. Most recently, Dr. San Juan completed a post-doctoral fellowship at the University of Calgary where she worked in collaboration with Dr. Susan Graham and Dr. Suzanne Curtin. Her post-doctoral research was funded by grants from both the Eyes High Fellowship program at the University of Calgary as well as by the Social Sciences and Humanities Research Council of Canada.
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Career Pathways
After earning the entry-level non-credit certificate in Statistics with R, there are several career pathways that you could explore:
These are just a few examples of career pathways for someone with a certificate in Statistics with R. Further specialization, experience, and additional learning can open up more advanced opportunities in the tech industry.
