This workshop is hands-on and intended for beginners; no previous knowledge of data analysis and/or R is required. This session will cover the following topics for R: data preparation, descriptive ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

A cost analysis involves the process of reporting separate elements in a cost proposal, such as labor, equipment and materials that make up a product or service, as well as its proposed profit. It is ...

We are not currently accepting applications for this course. Register your interest below to be notified when applications open again. Data Science and Big Data Analytics are exciting new areas that ...

The Multi-Omics Data Analysis Core (MODAC) provides cutting-edge bioinformatics and multi-omics analysis and advanced data visualization for both translational and fundamental scientific research. Our ...

Participants will become familiar with the current state of experimental design, data acquisition (LC-MS, MS imaging), processing, and modelling. In addition, they will learn about community standards ...

Statistical research spans an enormous range from direct subject-matter collaborations to pure mathematical theory. The Annals of Applied Statistics (AOAS) is aimed at papers in the applied half of ...

Equal Opportunity and Non-discrimination at Princeton University: Princeton University believes that commitment to equal opportunity for all is favorable to the free and open exchange of ideas, and ...