With the digital revolution, the world is becoming increasingly more quantitative, and the field of statistics has become essential in advancing our understanding of the natural, political and social sciences as well as in medicine and public health. Statistics also constitutes a crucial part of decision making in industry, business, government, and is at the heart of the emerging field of Data Science.
About the Statistics Area of Concentration
As a student studying statistics at New College, you will develop statistical reasoning skills and apply them when analyzing and modeling data from many different sources. You will learn about both classical and modern statistical techniques, as well as the theoretical foundations underlying these methodologies. At the same time, you are going to obtain the necessary computational skills to work with data and implement these procedures. Finally, you will learn how to communicate and report statistical results effectively, while working on both individual and team projects throughout your classes.
Featured Course
STAN 3275
Linear Models
This course will predominantly focus on numerous practical and theoretical aspects of linear models, their extensions (e.g. polynomial regression, interactions) and generalized linear models (e.g. logistic and Poisson regression). Linear models constitute one of the most ubiquitous tools in dealing with data, presenting a crucial component for a statistician’s skill set. On top of covering all the main practical underpinnings of linear models, this course will emphasize developing students’ quantitative maturity via deriving mathematical properties and being able to formulate modeling equations for various statistical models. Finally, the course will be consistently accompanied by coding practices in R statistical software, including some in-class coding labs.
Recent courses
- Applied Time Series Analysis
- Dealing with Data I
- Dealing with Data II
- Introduction to Statistics
- Linear Models
- R for Data Science
- Statistical Learning
- Statistics for Economics and the Social Sciences
Career Pathways
- Data Scientist
- Government
- Health and Medical Research
- Finance
- Insurance
Contact Us
Natural Sciences Division
Phone Number
Email Address
Location
Heiser Natural Sciences Complex 172C
Statistics Faculty
Melissa Crow
Instructor of Statistics
Dr. Bernhard Klingenberg
Director of Data Science
Professor of Statistics
Andrey Skripnikov
Assistant Professor of Applied Statistics