The Statistics and Data Science concentration equips students to use data science to solve complex problems with data and drive important decision-making processes to add value to an organization.

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

In practice, exploratory data analysis combines graphics and descriptive statistics. In a highly cited book chapter, Tukey uses R to explore the 1990s Vietnamese economy with histograms, kernel ...

This second course of the Data-Driven Decision Making (DDDM) series provides a high-level overview of data analysis and visualization tools, preparing learners to discuss best practices and ...

You might not have ever heard of the programming language R but, if you’re doing data analysis, it might be just the language you need. And this particular book on R is one that is likely to ...

Computer Science: Elements of Computers and Programming (CS 303E) Statistics and Data Sciences: Introduction to Data Science (SDS 313) and Statistical Thinking (SDS 315) Breadth Requirement. SDS ...

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve ...

Our Master of Science in Statistics program is designed to give students a solid foundation in applied and theoretical statistics, enabling them to prepare for careers as statisticians in industry, ...

The Noble Desktop data analytics program offers a rewarding journey through the realm of data analysis, visualization, and statistical wizardry. From healthcare to finance, retail to gaming, the ...