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 ...

Many students in the MSLIS and MS in Data Analytics programs are required to learn about data analysis and assessment. One of the most useful tools (and it is free and open source) is RStudio, an IDE ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

Felician University – a non-profit, Franciscan institution – and Cellebrite have joined forces to offer two courses that provide veterans with critical skills that can lead to in-demand cybersecurity ...

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 ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

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 ...

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 ...