The biomedical sciences have been transformed by the breakthrough of next-generation sequencing and derived techniques, such as ChIP-seq 1,2,3. Efficient use of such large-scale genomic data generated ...

Choosing the right way to visualize your data makes the difference between telling a clear, compelling story or creating cognitive overload. Here's how to pick. Data is best understood when presented ...

The Master of Science in Data Analytics and Visualization (DAV) program addresses the growing need for analysts, researchers, developers, designers, mapmakers, usability experts, and other data ...

This second course of the Data-Driven Decision Making (DDDM) series provides a high-level overview of data analysis and visualization tools, preparing learners to discuss best practices and develop an ...

Pascal Pinter, product manager for Material Research and Development, Volume Graphics Fig. 1: Orientation analysis carried out on a glass fiber-reinforced sheet molding compound (SMC). Each direction ...

Before analyzing customer data, we need to describe the customers. Descriptive features for customers usually revolve around three categories: revenues, demographics and behavior. While revenues and ...

Explore essential statistical strategies for accurate protein quantification and differential expression analysis.

*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.