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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


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

 


R 1: Introduction to R

This workshop is the first of a two-part series on R using RStudio and Rcmdr. R is a statistical software package that is rapidly being adopted both in academia and industry for analysis. R is widely used by scientists throughout the social and physical 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:

  • Downloading packages
  • Opening data
  • Frequency distributions
  • Analysis: summary statistics
  • Graphing (including 3D)

Prerequisites: None.


R 2: Basic Data Analysis in R

This workshop is the second of a two-part series on R using RStudio. R is a statistical software package that is rapidly being adopted both in academia and industry for analysis. R is widely used by scientists throughout the social and physical 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
  • Regression analysis
  • Generating variables

Prerequisites: R 1: Introduction to R Workshop.

Python Workshop Series

Python Workshop Series


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


Python & Data 1: Intro to Python for Data Analysis

This workshop is the first of a two-part series in using Python for conducting data analysis. The workshop will introduce participants to common Python tools used by data analysts, researchers, and scientists. Participants will have the opportunity to practice the basics behind opening, analyzing, and visualizing data.

This workshop completes all processes and analyses using code (i.e. there are no point-and-click methods). However, no previous programming or coding experience is required in order to be successful.  All are welcome.

Workshop Topics:

  • Using Jupyter Lab and Notebooks
  • Importing and opening data
  • Generating descriptive statistics
  • Statistical plots and graphing

Prerequisites:

  • None.

NOTE:

  • This is the first workshop in a two-part series (Python & Data 2 is the second).
  • Python is a free programming language, but there are many “distributions”. If you want to bring your own laptop to the workshop, we highly recommend you download and install the “Python 3.7 version of Anaconda” on your machine before arriving.
  • This workshop will focus on using Python in a Windows environment.
  • Please read our Workshops ~ Etiquette & Policies page for pertinent information to your workshop attendance.


Python & Data 2: Data Manipulation and Modelling

This workshop is the second of a two-part series in using Python for conducting data analysis. The workshop will build upon the topics covered in Python & Data 1 and introduce participants to more tools and techniques for managing and analyzing data.

Participants will have the opportunity to practice manipulating and creating new variables from a sample dataset. Participants will also practice generating statistical models using the same sample dataset.

This workshop completes all processes and analyses using code (i.e. there are no point-and-click methods). However, no previous programming or coding experience is required in order to be successful. All are welcome.

Workshop Topics:

  • All topics covered in Python & Data 1
  • Creating and transforming variables
  • Slicing, indexing, and sub-setting data tables
  • Editing, updating, and fixing data samples
  • Statistical modelling using Statsmodels
  • Statistical and Machine Learning modelling using Scikit-Learn

Prerequisites:

  • Python & Data 1: Intro to Python for Data Analysis.
  • Basic familiarity with statistical modelling (e.g. simple and multiple regression)

NOTE:

  • This is the second workshop in a two-part series (Python & Data 1 is the first).
  • Python is a free programming language, but there are many “distributions”. If you want to bring your own laptop to the workshop, we highly recommend you download and install the “Python 3.7 version of Anaconda” on your machine before arriving.
  • This workshop will focus on using Python in a Windows environment.
  • Please read our Workshops ~ Etiquette & Policies page for pertinent information to your workshop attendance.

SAS Workshop Series

SAS Workshop Series


  • LIVE workshops are no longer offered for this series.
  • For RECORDED workshops: 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. When undertaking qualitative research, it doesn’t take long for things to get messy. You can quickly find yourself buried under interview transcripts, photographs, videos, memos, web sites, articles and other texts. NVivo is a powerful data collection and analysis tool for the qualitative researcher. In this 90-minute workshop for beginners, we’ll look at strategies for getting your data into the system, setting up preferences for how you want to work, organizational principles, and other tips and tricks.

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 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. This workshop picks up where NVivo 1 leaves off and continues to explore ways to organize, analyze, and present your qualitative research data. The workshop also further explores how to build queries to explore and analyze your coded data.

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 or viewed this Lynda.com Nvivo tutorial.

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. SPSS is 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. SPSS is 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

This workshop is the third of a three-part series on SPSS. SPSS is 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.
  • RECORDED workshops for Stata 1, 2 and 3 are currently unavailable.

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.

Workshop materials available here.


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.

Workshop materials available here.


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.

Workshop materials available here.


Logistic Regression with Stata Workshop


  • LIVE workshops are no longer offered for this workshop.
  • For RECORDED workshops: Click here.

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


Logistic Regression with Stata

This workshop is an overview of logistic regression analysis using Stata.

Workshop Topics:

  • Logistic Regression
  • Odds Ratios
  • Model Building

Prerequisites: None.