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 ...

When reviewing job growth and salary information, it’s important to remember that actual numbers can vary due to many different factors—like years of experience in the role, industry of employment, ...

You don't have to spend a fortune and study for years to start working with big data, analytics, and artificial intelligence. Demand for "armchair data scientists" – those without formal ...

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 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 ...

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 ...

"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 ...

As a mathematician, I’ve always been a fan of data analytics, and big data. And I have always looked to used it to drive operational performance improvement in every company I have worked in going ...

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 ...