SLU Data Science Seminar

Upcoming Seminars

• DSS Seminar 06: Reproducible Research in R (Fall 2018)
• DSS Seminar 07: Data Wrangling in R (Spring 2019)
• DSS Seminar 08: Plots & Figures in R (Fall 2019)
• DSS Seminar 09: Building Linear Models in R (Spring 2020)
• DSS Seminar 10: Mapping Data in R (Fall 2020)
• DSS Seminar 11: Functions & Packages in R (Spring 2021)

Past Seminars

• DSS Seminar 05: Functions & Packages in R
  • Session 05-1 - Introduction to R and Writing Functions
  • Session 05-2 - The Basic R Package Structure
  • Session 05-3 - Quosures, Git, & Building Packages
  • Session 05-4 - Package Infrastructure
• DSS Seminar 04: Mapping Data in R (Fall 2017)
  • Session 04-1 - Introduction to R, RStudio, and ggplot2
  • Session 04-2 - Reading Data into R and ggplot2
  • Session 04-3 - Building Basic Maps
  • Session 04-4 - Adding Complexity to Maps
• DSS Seminar 03: Building Linear Models in R (Spring 2017)
  • Session 03-1 - R and RStudio
  • Session 03-2 - Descriptive Statistics
  • Session 03-3 - Hypothesis Testing
  • Session 03-4 - Correlation
  • Session 03-5 - Linear Regression
• ATLAS Week 2017: Accessible Data Analysis
• DSS Seminar 02: Plots & Figures in R (Fall 2016)
  • Session 02-1 - R and RStudio
  • Session 02-2 - Normality Plots
  • Session 02-3 - ggplot2 Basics
  • Session 02-4 - More ggplot2
  • Session 02-5 - Plot Layouts
• DSS Seminar 01: Data Management in R (Spring 2016)
  • Session 01-1 - R and RStudio
  • Session 01-2 - Importing and Describing Data
  • Session 01-3 - Recoding Numeric Variables
  • Session 01-4 - Factor Variables
  • Session 01-5 - More Factors
  • Session 01-6 - String Variables