**Events & Workshops**

**Nov. 1 and Nov. 8, 2023**

**R Workshop**

### 4:00pm-5:30pm in Webster 16

**Instructors:**

David Rice and Wiriyaporn Laaied

PhD Students in Statistics

The Center for Interdisciplinary Statistical Education and Research is pleased to announce that our R workshop is scheduled for Nov 1 and Nov 8 from 4:00pm-5:30pm in Webster 16. This two part workshop is split into the data manipulation session (Nov 1) and the analysis session (Nov 8) for an hour and a half each. This workshop is intended to give people some comfortability with writing functions and manipulating data within R for the purpose of data exploration, as well as performing some more common statistical analysis.

**March 2, 2023**

#### Social Network Analysis in Python

#### Thursday, March 2 3:00pm-5:00pm

#### in Abelson Suite 227

**Instructor**

Ph.D. Dartmouth College

Assistant Professor of Data Analytics in the

WSU Department of Mathematics and Statistics

The science of complex networks offers many useful tools for understanding modern data, particularly for problems arising in the social sciences. This workshop is intended to provide a starting point for working with graphs and networks in Python and doesn’t assume any specific programming or modeling background. In particular, we will explore ways to create network models and measure their relevant properties and statistics. The workshop will follow this outline:

- Introduction to social network modeling
- How do Jupyter notebooks work?
- Building and plotting Ego graphs
- Loading and processing larger graphs
- Centrality comparisons and null models
- Dynamics on networks

with the goal of providing lots of examples and opportunities for attendees to experiment with computational examples.

**March 2022**

CISER hosted four workshops for an introduction to statistical analysis software R. More information can be found on the flyer.

##### Week 1: R basics

##### recording & slides

##### Week 2: R tidy data

##### recording & slides

##### Week 3: Data Visualization using ggplot2

##### recording & slides

##### Week 4: Reproducible reports using RMarkdown

##### recording & slides