Workshop Series - Data Analytics for You

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

Instructors: Dr. Thilani Samarakoon, Biomedical Data Librarian, and Dr. Cameron Riopelle, Head of Data Services

Contact: thilani.samarakoon@miami.edu

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Introduction to R

Date: Thursday, September 30, 2021 from 5:30 - 7 p.m. ET.

Place: Via Zoom

R is an open-source software environment for statistical computing and graphics. This workshop is designed to introduce R, RStudio, and R Markdown. You will learn to install R packages and utilize their functionalities for exploratory data analysis(EDA). It covers basic data types, importing data, cleaning and plotting data, and analyzing relationships between variables. Previous experience with R is not necessary.

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Data Visualization with R

Date: Tuesday, October 5, 2021 from 5:30 - 7 p.m. ET.

Place: Via Zoom

This workshop will focus on creating visualizations using R packages like ggplot2. This covers basic plots and best practices in data visualization. Some experience with R is preferred.

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Intermediate R

Date: Thursday, October 7, 2021 from 5:30 - 7 p.m. ET.

Place: Via Zoom

This workshop covers handling NA's, selecting variables for linear regression models, exploring linear and logistic regression, and creating specific plots like survival curves and forest plots. Some experience with R is preferred.

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Introduction to REDCap

Date: Tuesday, October 12, 2021 from 5:30 - 7 p.m. ET.

Place: Via Zoom

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.

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Introduction to SPSS

Date: Tuesday, October 19, 2021 from 5:30 - 7 p.m. ET.

Place: Via Zoom

This workshop is 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, October 21, 2021 from 5:30 - 7 p.m. ET.

Place: Via Zoom

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

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Introduction to Meta-Analysis

Date: Tuesday, October 26, 2021 from 5:30 - 7 p.m. ET.

Place: Via Zoom

This workshop aims to give you a basic understanding of the steps of conducting a meta-analysis. Meta-analysis is a statistical technique for combining data from multiple studies on a particular topic to produce an overall statistic. Meta-analysis is an intensive research process involving several critical steps from the literature search, data extraction to statistical analysis. This workshop will help you understand the meta-analysis process and help you plan to conduct one.

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Introduction to GraphPad Prism

Date: Thursday, October 28, 2021 from 5:30 - 7 p.m. ET.

Place: Via Zoom

This workshop is designed to introduce you to GraphPad PRISM software. Prism is a statistical software that follows a drop-down menu-based interface to conduct data analysis. This workshop will cover topics on navigating the menu, importing data, selecting data tables, creating graphs, and data analysis.

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Introduction to Tableau

Date: Tuesday, November 2, 2021 from 5:30 - 7 p.m. ET.

Place: Via Zoom

Tableau is a data visualization software that allows transforming data into plots and tables. Here you will learn about the Tableau workspace consisting of menus, toolbars, and the data pane. In addition, the workshop covers topics on connecting to the data, building data visualizations and dashboards, and sharing them. Previous experience with Tableau is not necessary.