Hello, I’m Sydney Tune, a 2023 graduate from Washington and Lee University. Studying Data Science and Analytics in both the Sociological and Biological Disciplines, I’ve had the opportunity to learn a plethora of statistical tools, as well as to gain a deep understanding of the assumptions and math that make these tools useful.
Starting with exploratory analysis and visualizations, my first exposure to RStudio allowed me to become adept with the ggplot2 and tidyverse RStudio packages, as well as simple OLS regression
Since my introduction, I have taken a plethora of RStudio based courses, ranging from Statistics for Social Policy, to Baseball and Statistic. In each of these courses, I’ve learned new techniques like multi-level modeling, regression discontinuity, SIDD modeling, and more. Check out my projects tab to see these skills in action.
Areas of Expertise
RStudio
Python
Statistical Analysis
Statistical Interpretation
Coding Courses
SOAN-102: Intro To Sociology; introduction to using RStudio to explore sociological issues; use of tidyverse with focus on ggplot2
SOAN-218: Basic Statistics For Social Scientists; focus on OLS regression, clustering techniques, and building statistical understanding as well as RStudio toolbox
SOAN-401 and Summer Research: Individual Study; using IPUMS NHGIS and web-scrapping to find correlation between politics, mask wearing, and COVID-19 infection rates, learning how to control for factors and interpreting results and coefficients for OLS regression using RStudio
BIOL-201: Statistics for Biology and Medicine; learning how to start with observations and letting this lead you to the type of analysis that would be useful, focusing on statistical tools such as Student’s T-test, chi-squared analysis, and ANOVA using RStudio
BIOL-398A: Computational Biostatistics; a continuation of BIOL-201, but learning to deal with Poisson distributions, interaction terms, random and fixed-effect models, and an introduction to Bayesian methods using RStudio
CSCI-111: Fundamentals of Programming I; learning how to use Python to build simple chess games, photo filters, and basic web development
BIOL 282: Modeling and Simulating Public Health; continuing to use python, I learned how to utilize Jupytr notebooks to collaborate with others and create mathematical models that simulate a public health crisis
SOAN 222: Data Science Tools for Social Policy; Using RStudio, I learned how to utilize tools such as Differences in Differences, Regression Discontinuity, Instrumental Variable Analysis, and coefficient interpretation
SOAN 220: World of Data: Baseball and Statistics; This course allowed me to pursue another area I’ve had great interest in: the philosophy of statistics and how we choose to measure what we do, as well as learn to create sports-specific visualizations and Multi-level models
BIOL 185: Visualizing and Exploring Data; learning to work with RShiny, I was able to create an interactive user interface that allows other to explore health data, making data analysis accessible for others to understand how disadvantage effects health outcomes
SOAN 493: Honors Thesis; This project is the culmination of 2 years of work and dedication to investigate the nature of generations, and was successfully presented and defended in May, 2023
SOAN 396: Capstone; Working on a Data analysis portion of my thesis, STATA was introduced and used to run regressions investigating the role of rejection of parental knowledge in generations
SOAN 276: The Art and Science of Survey Resarch; Working to help guide Bath County, VA in building more housing, a survey was designed and sent out to residents, with the results being analyzed using SPSS
During the Summer of 2022, I was fortunate enough to attend both sessions of the ICPSR workshops held at the University of Michigan, Ann Arbor. Throughout my time at these workshops, I attended courses on Regression, Algebra and Matrixes for social scientists, Categorical Variable Analysis, as well as auditing courses on how machine learning can be used with regression, as well as time panel analysis. Taking courses with enthusiastic Professors from around the country and taking these with other Professors and Professionals cemented just how much I hope to work with data in the future.
My Time at ICPSR Summer Sessions