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 ...

*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

Let’s start with a definition of Applied Statistics: Applied Statistics is the root of data analysis. The practice of applied statistics involves analyzing data to help define and determine an ...

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 ...

I spoke to some women statisticians in India, understanding the world of numbers, data, logic, and curiosity. | Women in STEM ...

We also discuss the biases associated with ITT analysis and, alternatively, censoring of follow-up data (ie, dropping out) after selective crossover. Moreover, we discuss how the statistical procedure ...

In motorsports, success hinges on decisions rooted in data, from tire degradation models to fuel load calculations.