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*Research Data Services @ Georgia State University Library: WORKSHOPS ~ Data Analysis Tools ~ Quantitative (Stata, SPSS, SAS, R, Python) & Qualitative (NVivo)

WORKSHOPS ~ DATA ANALYSIS TOOLS

R Workshop Series

R Workshop Series


The R workshop series will introduce participants to the fundamentals of using the R programming language and associated tools for the purposes of performing common data analysis tasks. The R programming language is 100% free to use and is extremely popular amongst researchers in both academia, business, and non-profits. It is especially useful for conducting statistical analysis.

This series consists of four workshops. Individuals are encouraged to attend (or watch the recording) for the “R 1: Getting Started…” workshop first; especially for individuals who are brand new to using R. The content for the remaining workshops are independent of each other and can be attended in any order.

While these workshops are taught exclusively using code (i.e. there are no point-and-click methods), attendees do not need to have any prior experience with programming, coding, or scripting. All are welcome.

Skill Requirements: None.

Software Requirements for Hands-on Participation:


R 1: Getting Started with R and RStudio

Workshop Topics:

  • Using RStudio to work with R
  • R syntax, commands, functions, and packages
  • Opening, viewing, and exploring data
  • Generating basic descriptive statistics from data


R 2: Tidyverse and Manipulating Data

Workshop Topics:

  • Introduction to Tidyverse packages (emphasis on dplyr)
  • Transforming and generating variables
  • Handling data with missing values
  • “Piping” data and data processes

R 3: Data Visualization and Mapping

Workshop Topics:

  • Creating statistical plots using ggplot2
  • Customizing plot colors, themes, labels, etc…
  • Working with GIS data to create maps
  • Modifying maps with overlays, custom aesthetics, and additional data

R 4: Statistical Modelling

Workshop Topics:

  • Basic analysis, descriptive statistics, t-tests
  • Creating linear models (multiple linear regression & logistic regression)
  • Evaluating linear models and generating predictions
  • Creating simple machine learning models (Time permitting)

Python Workshop Series

Python Workshop Series


The Python & Data workshop series will introduce participants to the fundamentals of using the Python programming language and associated tools for the purposes of performing common data analysis tasks. Python is an extremely popular programming language used by analysts, researchers, and scientists in many different disciplines.

This series consists of three workshops.  For individuals who are new to Python, coding, or data analysis, it is highly recommended that the workshops be attended in sequential order.  Additionally, while these workshops are taught exclusively using code (i.e. there are no point-and-click methods), attendees do not need to have any prior experience with programming, coding, or scripting.  All are welcome.

Skill Requirements: None.

Software Requirements for Hands-on Participation:

  • Participants will need a Google / Gmail account in order to access Google Colab
  • No software installation is required.

Python & Data 0: Google Colab

This video-only recorded workshop provides a short, high-level overview of Google Colab and how it relates to the other Python workshops. There is no live version of this workshop; it is solely available as a recorded version on our recorded workshops page linked above.

Workshop Topics:

  • Brief overview of Google Colab
  • Uploading, managing, and saving data in Google Colab environment

Python & Data 1: Getting Started with Python

Workshop Topics:

  • Using Anaconda and Jupyter to work with Python
  • Python syntax, commands, functions, and packages/modules
  • Opening, viewing, and exploring data
  • Generating basic descriptive statistics from data


Python & Data 2: Manipulating & Transforming Data

Workshop Topics:

  • Selecting, sub-setting, and manipulating data
  • Transforming and generating variables
  • Handling data with missing values
  • Generating crosstabs / contingency tables

Python & Data 3: Visualizing Data & Creating Models

Workshop Topics:

  • Plotting and visualizing data using Matplotlib and Seaborn
  • Defining statistical models using both formulas and matrices
  • Fitting and inspecting statistical models (e.g. anova, linear regression)

SAS Workshop Series

SAS Workshop Series


  • LIVE workshops are no longer offered for this series.
  • For RECORDED workshops: Click here.
  • For ONLINE GUIDE: Click here.

This workshop series completes all analysis using code. No previous knowledge of coding is required. This series is for the Windows version of SAS.


SAS 1: Introduction to SAS

This workshop is the first in a two-part series on SAS. SAS is a statistical software package that is widely used by scientists throughout the health sciences and demography for analysis of quantitative data ranging from simple descriptive analysis to complex statistical modeling.

Please note: This workshop completes all analysis using code. No previous knowledge of coding is required.

Workshop Topics:

  • Opening data
  • Analysis: summary statistics, Chi-square, ANOVA, regression
  • Frequency distributions

Prerequisites: None.


SAS 2: Data Editing and Cleaning

This workshop is the second in a two-part series on SAS. SAS is a statistical software package that is widely used by scientists throughout the health sciences and demography for analysis of quantitative data ranging from simple descriptive analysis to complex statistical modeling.

Please note: This workshop completes all analysis using code. No previous knowledge of coding is required.

Workshop Topics:

  • Generating variables
  • Data cleaning
  • Data manipulation
  • Navigating help features

Prerequisites: SAS 1 or basic knowledge of SAS.

NVivo Workshop Series

NVivo Workshop Series


This workshop is for the *WINDOWS* version of NVivo. The Mac version differs significantly from the Windows; consequently, attending the Windows workshop if you will be using the Mac version is not recommended. We do not offer workshops on the Mac version due to having no Mac labs to do so. If you need one-on-one training for the Mac version of NVivo, please directly contact Mandy Swygart-Hobaugh, Ph.D. See the NVivo research guide here.


NVivo 1 for Windows: Getting Started

This is the first workshop in a two-part series on NVivo qualitative data analysis software.

Workshop Topics

  • Getting to know the NVivo workspace
  • Exploring different types of data types/files that can be analyzed
  • Basic coding of text-based files
  • Using Queries and Automated features to explore and code your data
  • Recording comments and ideas

Prerequisites: Basic understanding of qualitative research methods is suggested, but not required. Watching this short tutorial on coding qualitative data before attending the workshop is recommended.


NVivo 2 for Windows: Exploring Your Data

This is the second workshop in a two-part series on NVivo qualitative data analysis software.

Workshop Topics

  • Creating Classifications with Attribute Values to facilitate comparative analyses
  • Crosstab and Matrix Coding queries
  • Data visualizations
  • Sharing findings with Reports and exporting Codebooks

Prerequisites: NVivo 1

SPSS Workshop Series

SPSS Workshop Series


The SPSS 1 and SPSS 2 workshops in this three-part series focus on using the point-and-click method for using SPSS; the syntax/code method is introduced briefly. The SPSS 3 workshop is conducted entirely using code. See the (1) SPSS research guide here and (2) SPSS workshop guide here.


SPSS 1: Getting Started

This workshop is the first of a three-part series on SPSS, a statistical software package that is widely used by scientists throughout the social sciences for analysis of quantitative data.

Please note: This workshop focuses on using the point-and-click method for using SPSS; the syntax/code method is introduced briefly.

Workshop Topics

  • Navigating SPSS
  • Entering and importing data from different formats (such as text and Excel files)
  • Defining variables (defining and labeling codes, selecting appropriate levels of measurement)
  • Manipulating and transforming data (selecting cases and splitting files; recoding and computing variables)
  • Running descriptive statistics
  • Generating simple graphs

Prerequisites: None.


SPSS 2: Analyzing Data

This workshop is the second of a three-part series on SPSS, a statistical software package that is widely used by scientists throughout the social sciences for analysis of quantitative data.

Please note: This workshop focuses on using the point-and-click method for using SPSS; the syntax/code method is introduced briefly.

Workshop Topics

  • Cross-tabulation and Chi-Square tests
  • Analysis of Variance (ANOVA)
  • T-tests
  • Correlation analysis
  • Multiple regression analysis

Prerequisites: Attendance at SPSS 1 preferred, or completion of Parts 1-6 of the Lynda.com "SPSS Statistics Essential Training" tutorial.


SPSS 3: Basic Coding in SPSS (no longer offered live; recording available here)

This workshop is the third of a three-part series on SPSS, a statistical software package that is widely used by scientists throughout the social sciences for analysis of quantitative data.

Please note: This workshop completes all analysis using code. No previous knowledge of coding is required.

Workshop Topics:

  • Recoding variables
  • Coding methods
  • Analysis: summary statistics, Chi-square, ANOVA, regression

Prerequisites: Attendance at SPSS 1 and 2 preferred, or completion of Parts 1-6 of the Lynda.com "SPSS Statistics Essential Training" tutorial.

Stata Workshop Series

Stata Workshop Series


  • LIVE workshops are no longer offered for this series.
  • For RECORDED workshops: Click here.
  • For ONLINE GUIDE: Click here.

This workshop series completes all analysis using code. No previous knowledge of coding is required. This series is for the Windows version of Stata. See the Stata research guide here.


Stata 1: Introduction to Stata

This workshop is the first of a three-part series on Stata. Stata is a statistical software package. Stata is widely used by scientists throughout the social sciences for analysis of quantitative data ranging from simple descriptive analysis to complex statistical modeling.

Please note: This workshop completes all analysis using code. No previous knowledge of coding is required.

Workshop Topics:

  • Opening data
  • Generating variables (basic)
  • Frequency distributions
  • Analysis: summary statistics

Prerequisites: None.


Stata 2: Basic Data Analysis

This workshop is the second in a three-part series on Stata. Stata is a statistical software package. Stata is widely used by scientists throughout the social sciences for analysis of quantitative data ranging from simple descriptive analysis to complex statistical modeling.

Please note: This workshop completes all analysis using code. No previous knowledge of coding is required.

Workshop Topics:

  • Generating variables (advanced)
  • Analysis: Chi-square, ANOVA, regression
  • Graphs
  • Navigating help features

Prerequisites: Stata 1 or basic knowledge of Stata.


Stata 3: Advanced Data Analysis

This workshop is the third in a three-part series on Stata. Stata is a statistical software package. Stata is widely used by scientists throughout the social sciences for analysis of quantitative data ranging from simple descriptive analysis to complex statistical modeling.

Please note: This workshop completes all analysis using code. No previous knowledge of coding is required.

Workshop Topics:

  • Troubleshooting code
  • Generating scales
  • 3, 4, and 5 way cross tabulations

Prerequisites: Stata 1 and Stata 2 or moderate knowledge of Stata.