Gain introductory experience with data analysis in a variety of new software environments, particularly SPSS, R, SAS and RedCap, paired with discussions of statistical analysis and data science best practices.

THESE CLASSES ARE FOR UM/JHS FACULTY, STAFF, STUDENTS AND RESIDENTS.

Instructor: Dr. Cameron Riopelle

Head of Data Services

criopelle@miami.edu

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Introduction to SPSS

Date: Tuesday, March 17, 2020 from 5:30 - 7 p.m.

Place: Calder Medical Library, eClassroom 3003A

Designed for new SPSS users. It provides an introduction to the SPSS software program, including its software environment, importing data, descriptive statistics, transforming variables, selecting and splitting data, and visualization.

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Intermediate SPSS

Date: Thursday, March 19, 2020 from 5:30 - 7 p.m.

Place: Calder Medical Library, eClassroom 3003A

Designed for intermediate SPSS users. It covers common statistical methods in SPSS such as means comparisons, ANOVA, linear regression, and logistic regression models.

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Introduction to R

Date: Tuesday, March 24, 2020 from 5:30 - 7:00 pm

Place: Calder Medical Library, eClassroom 3003A

Designed for new R and R Studio users. It provides an introduction to the R software program, including its programming language, software -environment, importing data, descriptive statistics, transforming variables, selecting and splitting data, exploratory tests, and visualization.

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Intermediate R

Date: Thursday, March 26, 2020 from 5:30 - 7:00 pm

Place: Calder Medical Library, eClassroom 3003A

Designed for intermediate R and R Studio users. It covers common statistical methods in R such as means comparisons, ANOVA, linear regression, and basic visualization.

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Introduction to SAS

Date: Tuesday, April 7, 2020 from 5:30 - 7 p.m.

Place: Calder Medical Library, eClassroom 3003A

This workshop will provide an overview of the SAS software program, including its programming language, software environment, importing data, descriptive statistics, transforming variables, selecting and splitting data, exploratory tests, regression models, and visualization.

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Introduction to RedCap

Date: Thursday, April 9, 2020 from 5:30 - 7 p.m.

Place: Calder Medical Library, eClassroom 3003A

REDCap (Research Electronic Data Capture) is a Web-based application that allows you to quickly build and manage databases and online surveys. This workshop will show you how to: build case report forms to enter data extracted from any source; automatically check for errors to guard against bad data; produce online summary statistics and graphics; make analyzable, anonymized datasets; export data to Excel and major statistical packages like R, SAS, SPSS, STATA, and other basic concepts.