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 ...

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 ...

In today’s modern world, data drives most major business decisions — including marketing campaigns, new product development, technology automation, pricing strategy and more. The University of Wyoming ...

The purpose of the course is to introduce the statistical methods that are critical in the performance analysis and selection of information systems and networks. It includes fundamental topics as ...

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 ...

This course may be taken individually or as part of the Professional Certificate Program In Machine Learning & Artificial Intelligence or the Professional Certificate Program in Biotechnology & Life ...

Linguists, chemists, business analysts, social scientists, and essentially everyone needs computational approaches to structure, analyze and present their data. However, non-experts are often ...

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 ...

As rapidly growing amounts of data are created and used in industry and research environments, there is an increasing demand for people who are able to pursue data-driven thinking and decision-making ...