Graph technology has become a requirement for the modern enterprise. Companies in virtually every industry, from healthcare to energy to financial services, are applying the power of graph analytics ...

This workshop is hands-on and intended for beginners. No previous knowledge of data analysis and/or Stata is required. In this session we will cover the following topics: data transfer, data ...

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 ...

Success in business and science means making smart decisions. And those require the kind of information you can only get from sophisticated data analysis. It’s a growing field with huge opportunities.

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

The field of DNA microarray data analysis is getting increasingly complicated as scientists develop new array technologies and analysis algorithms, yet accurate introductory information on the subject ...

Data Analytics in Sports Law is a self-paced multi-micro-credential program for anyone seeking an introduction to data analysis within the business, regulatory, and legal framework of sports. Current ...