Tag: R Programming

Introduction to Data Graphics and Analysis

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UF Information Technology is offering an eight-module course on R Programming this summer. All faculty, postdoctoral associates, TA’s, graduate students, and staff are welcome to enroll. The Summer 2023 offering of R Programming will take place May 15 to July 21. Enrollees must have successfully completed at least one graduate-level course in statistics prior to the May 15 training start. R Programming is offered in an online, self-paced format. The course is free but pre-registration is required. Visit the R Programming training page to register. The full syllabus for the Summer 2023 offering is also available on this page. The course’s eight modules are:

• Introduction to R
• Data Preparation
• Exploratory Data Analysis
• Mean and Median Comparison
• ANOVA, Correlation, and Linear Regression
• Multiple Linear Regression
• Proportion Comparison
• Logistic Regression

Anyone with questions about UFIT’s R Programming training is welcome to email the instructor, Dr. Jose Silva-Lugo.

Introduction to Data Analysis and Graphics

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UF Information Technology is again offering its extremely popular R Programming course this fall. This online, self-paced training is offered free for faculty, postdocs, staff, and graduate students.

The fall 2022 course dates are August 29 to October 29. To register, visit UFIT Training’s R Programming page. Pre-registration is required by August 26.

The eight modules in the course are: Introduction to R, Data Preparation, Exploratory Data Analysis, Mean and Median Comparison, ANOVA, Correlation, and Linear Regression, Multiple Linear Regression, Proportion Comparison, and Logistic Regression. A detailed syllabus is available on the R Programming page. Enrollees must have successfully completed at least one graduate-level course in statistics prior to the start of the training.

Anyone with questions about UFIT’s R Programming training is welcome to reach out to instructor Dr. Jose Silva-Lugo.

Free Self-Paced Statistical Software Training

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Two FREE, fully online trainings on statistics software will be offered during the fall term. Faculty, staff, postdocs, TAs, and graduate students can learn how to perform statistical analyses on research data while earning a certificate in SPSS and SamplePower 3 or the R programming language. In these self-paced trainings, participants will use the software through practical application and hands-on exercises. The training series introduces data analysis and visualization features that can help further research. Pre-registration is required. Use the links below to view the course flyer and to register:

SPSS and SamplePower 3
Aug. 23 – Oct. 7, 2021 | Register

R Programming Training: An Introduction for Data Analysis and Graphics
Oct. 4 – Dec. 3, 2021 | Register

Anyone with questions about either training may email the instructor, Senior IT Training Specialist Jose Silva-Lugo.