Coding and Statistical Consultants

The Graduate Academic Coding and Statistical Consultants are here to help any graduate student with any academic computational project.

Have you ever thought: “How can I start collecting social media data?” or “Where do I start with sentiment analysis?” or “Should I get started in R or Python?” or "What is the right tool for image manipulation in this project?" or have questions about study design, sample size determination, interpretation of results, or need help with statistical computing programs, a Graduate Academic Coding and Statistical Consultant can help you. There are many resources out there! Let the  Consultants be your guide.

We can help with learning a new programming language, finding appropriate computational or statistical tools, or planning a computational project. The Graduate Academic Coding and Statistical Consultants will follow up with you to see how your new project and skills are going. (The consultants will not write code for you.)


Meet our consultant:

Muhammet Furkan Karakaya is a PhD student in the political science department at . He earned his bachelor’s degree in economics from Marmara University in Turkey and master's degrees from Pennsylvania State University and the University of Delaware. His research interests are ethnic rights, minority politics, political participation, government types, and regime types. He has conducted quantitative research on voter turnout, natural disasters, and incumbency advantage and he is interested in quantitative research methodologies including statistics, game theory, and machine learning.

Workshops:

Spring 2024

DATE: Wednesday, March 27, Noon - 1:00 p.m.

PRESENTER: Muhammet Furkan Karakaya, Graduate Academic Coding & Statistical Consultant, Political Science PhD student

Dive into the world of STATA in just one hour! Join our workshop to master key statistical analysis and data preparation techniques. Learn the steps and details of uploading datasets, performing statistical checks, creating insightful plots, and exploring correlations with speed and precision. This session is designed for students eager to venture into statistical analysis with STATA, and no prior experience is required. Don't miss this opportunity to elevate your analytical skills – sign up now!

DATE: Wednesday, February 7, 2024

PRESENTER: Dr. Jeremy Blackburn, School of Computing

CONTENT WARNING: The text analysis discussed is about hate speech and toxic communities online, and that hate speech does appear in the analysis.

Text analysis offers a powerful data-gathering process to extract meaning from digital text. This workshop will examine methods and practices for text analysis. We will cover the major techniques for mining and analyzing text data to discover interesting patterns, extract useful knowledge, support decision making, and find and prepare texts. To do so, we cover computational text analysis techniques and statistical approaches that can be generally applied to arbitrary text data in any natural language. You will learn the basic concepts, principles, and major algorithms in text mining and their potential applications. The goal of the workshop is for you to walk away knowing how to assemble a corpus and some of the tools available to analyze it.


Fall 2023

DATE: Wednesday, November 15, 2023

PRESENTER: Muhammet Furkan Karakaya, Graduate Academic Coding & Statistical Consultant, Political Science PhD student

Unlock the potential of Python for data analysis in just one hour! Attend this workshop to grasp key data analysis techniques using Python. Explore uploading datasets, conducting statistical checks, creating plots, and investigating correlations swiftly and effectively. No prior experience is required — this session is tailored for students eager to dive into data analysis with Python. Don't miss out on this opportunity to level up your analytical skills!

The workshop material can be accessed via .


Spring 2023

Rapid Agent-based Model Prototyping in NetLogo

DATE: Wednesday, March 15, 2023

PRESENTER: Associate Professor Andreas D. Pape, Economics Department and Associate Dean, Graduate School

This is an introduction to sketching out an idea for a social science agent-based model using the NetLogo platform. Agent-based modeling specifies programs for the agents/actors in a model and then simulates outcomes by letting the agents interact in a virtual environment: some call it “SimCity with policy implications.” NetLogo is an ABM platform that is uniquely suited for this. In this workshop, we will rapidly prototype a model based on modeling choices developed and selected collaboratively by the participants. NetLogo is available as a free download here:

Online Jungle - Finding a Coding Community on the Internet

DATE: Wednesday, February 22, 2023

PRESENTER: Muhammet Furkan Karakaya, Graduate Academic Coding & Statistical Consultant

Codes can be difficult to remember; you are not alone in your project. This workshop will highlight online resources that coding communities build up for others. We will learn how to find the required codes for our projects from websites like Github and Stack Overflow. Also, we will talk about online resources that help us to improve our statistical knowledge and coding skills on a daily basis.

Fall 2022

Mathematica Essentials: Introduction & Overview

DATE: Thursday, December 1, 2022

LOCATION: Online (via Zoom)

PRESENTER: Professor Hiroki Sayama, Systems Science & Industrial Engineering Department

Mathematica is a computer software package for doing mathematical computation and exploration. It contains hundreds of mathematical functions, commands for producing graphics, and a complete programming language. During this one-hour workshop, attendees will get a hands-on introduction to using Mathematica. They will learn how to use Mathematica to create notebooks, perform symbolic and numeric calculations, and generate 2D and 3D graphics. 

Generating Data from the Web

DATE: Thursday, November 10, 2022

PRESENTER: Jay Sanjaykumar Patel, PhD student in Computer Science

In this workshop, we will discuss how to automate the extraction of data from websites. Web scraping helps us gather large data sets and then build statistical models to conduct analyses.

Conducting A Statistical Project with STATA and R

DATE: Thursday, September 22, 2022

PRESENTER: Muhammet Furkan Karakaya, Graduate Academic Coding and Statistical Consultant

Running a statistical project can be cumbersome as it requires merging statistical knowledge and coding skills. This workshop will illustrate how to conduct a statistical project in both STATA and R environments. We will discuss how to upload a dataset, check its summary statistics, generate plots of certain variables, and explore correlations between dependent and independent variables.


Spring 2022

The Coding World

DATE: Wednesday, May 4, 2022

PRESENTERS: Furkan Karakaya and Sanket Rathod, Graduate Academic Coding Consultants

The coding world in a maze. To find the right path, we must know the basics of this world. In this workshop, we will review the tools and languages that are available to us. Specifically, we will cover Python, R, STATA, JavaScript, Java, HTML and CSS.

Python for Beginners

DATE: Wednesday, April 13, 2022

PRESENTERS: Furkan Karakaya and Sanket Rathod, Graduate Academic Coding Consultants

Python is one of the most popular languages in the coding world. It is used for data wrangling, exploration, analysis, and visualization. This workshop will illustrate the basic functions, packages, and integrated development environments (IDE's) that are available for users.

Introduction to Text Analysis

DATE: Wednesday, March 23, 2022

PRESENTERS: Dr. Jeremy Blackburn, School of Computing

CONTENT WARNING: The text analysis discussed is about hate speech and toxic communities online, and that hate speech does appear in the analysis.

Text analysis offers a powerful data-gathering process to extract meaning from digital text. This workshop will examine methods and practices for text analysis. We will cover the major techniques for mining and analyzing text data to discover interesting patterns, extract useful knowledge, support decision making, and find and prepare texts. To do so, we cover computational text analysis techniques and statistical approaches that can be generally applied to arbitrary text data in any natural language. You will learn the basic concepts, principles, and major algorithms in text mining and their potential applications. The goal of the workshop is for you to walk away knowing how to assemble a corpus and some of the tools available to analyze it.

If you have any questions, please contact Associate Dean Andreas Duus Pape.