Why take another Statistics class?

Data-Driven Decision Making: In today’s data-centric world, statistics equips you with the skills to analyze and interpret data, enabling informed decisions in various fields.
Versatile Applications: Statistics is applicable across many domains, including healthcare, business, social sciences, and environmental studies, making it a versatile choice for diverse careers.
Job Market Demand: With the rise of big data, there is a growing demand for professionals skilled in statistics, leading to robust career opportunities and job security. The website https://thisisstatistics.org/ reports the following: “Statistician jobs are projected to grow 33 percent between 2019 and 2029, according to Bureau of Labor Statistics data.
Marketability: Having a solid foundation in statistics can significantly enhance your marketability for jobs or graduate school. Additionally, it can be beneficial for research and other coursework.
Compensation: A 2020 Burtch Works study found that median base salaries for data scientists ranges from $95,500 to $165,000, depending on experience, and managers can make much more!

Two of LinkedIn’s 2024 Most In-Demand Hard Skills are Analytics and Problem Solving. These are both skills which are taught in Elon’s Statistics program!
US News and World Report ranked Statistician, Data Scientist, and Actuary all in the top 12 Best Jobs of 2024.

You must take STS 2120 (Statistics in Applications) & 4 more courses from the following list.

STS 2130	Survey Sampling Methods
STS 2300	Introduction to Data Analysis
STS 2320	Statistical Modeling
STS 2560	Applied Nonparametric Statistics
STS 3250	Design and Analysis of Experiments
STS 3270	Statistical Computing for Data Management
STS 3300	Statistical Methods for Data Analytics
STS 3410	Probability and Statistics
STS 3470	Statistical Computing for Simulation and Theory
STS 4980	Statistics Practicum
	One course in an allied field (below) can count towards the Statistics Minor!

ANT 2150	Qualitative Research Methods
ANT 2160	Quantitative Research Methods
CSC 1100	Data Science and Visualization
ECO 3300	Introduction to Econometrics
ENS 2000	Strategies for Environmental Inquiry
ESS 2140	Research Methods
MKT 4140	Marketing Research
PHS 3010	Introduction to Epidemiology
POL 2200	Research Methods in Political Science & Policy Studies
PSY 2970	Experimental Research Methods and Statistics
PSY 3970	Nonexperimental Research Methods and Statistics
PHS 3010	Introduction to Epidemiology
SOC 2150	Qualitative Research Methods
SOC 2160	Quantitative Research methods

STS 3270: STATISTICAL COMPUTING FOR DATA MANAGEMENT

Learn techniques for data management in SAS such as sub-setting data and merging data sets
Understand data formats, labels, and SAS Libraries
Learn how to generate and use SAS macros
PREREQUISITE: STS 2120

STS 2300: INTRODUCTION TO DATA ANALYTICS

STS 2320: STATISTICAL MODELING

Learn how to develop and compare statistical models using SAS software
Utilize models to make predictions
Review simple linear regression and learn about multiple linear regression and logistic regression
PREREQUISITE: STS 2120

STS 2560: APPLIED NONPARAMETIC STATISTICS

Construct and interpret hypothesis tests and confidence intervals for the median
Obtain p-values using permutation tests and other nonparametric tests using SAS software
Learn about the Kaplan-Meier survival function, which is the most cited paper in statistics!
PREREQUISITE: STS 2120

STS 3470: STATISTICAL COMPUTING FOR SIMULATION AND THEORY

Learn how to code in R using RStudio software
Generate impressive visualizations
Explore statistical theory through simulation and build statistical applets
PREREQUISITE: STS 2120

For more information, please contact Dr. Weaver (mweaver11@elon.edu) or Dr. Doehler (kdoehler@elon.edu)!