Overview Real examples and exercises make learning business statistics easier to apply in real work.Books cover basic ...

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 ...

This concentration introduces students to the use of financial analytics used by finance practitioners. It provides a strong and rigorous introduction to the use of financial applications in fintech ...

Students enrolled in the Introduction to Data Analytics course at Lee University are gaining hands-on experience with real-world data and industry tools, preparing them for the growing demand in ...

Data analytics can be used to inform the design of faculty professional development programs, ensuring that educational ...

"Big data" and the ability to discover patterns and make predictions from large amounts of data is revolutionizing almost every other scientific and technical field. The Data and Predictive Analytics ...

22:544:643 Information Security 22:544:603 Business Data Management 22:544:641 Analytics for Business Intelligence (or 22:544:650 Data Mining) 22:544:613 Introduction to Data Structures and Algorithms ...

A broad survey of the computer science discipline, focusing on the computer's role in representing, storing, manipulating, organizing and communicating information. Topics include hardware, software, ...

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 ...