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 ...

Statistics is the science of learning from data. The theoretical foundation of statistics lies in probability theory, which is applied to decision-making under uncertainty. Data science consists of ...

In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...

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 ...

Stand Out With This 100% Online Certificate. In a data-driven world, you can build the specialized skills needed to meet the growing demand for those with applied statistics expertise. With Michigan ...

An understanding and working knowledge of the basic principles of statistics are of central importance in understanding the sport and health sciences. Introduction to Statistics in Human Performance: ...

Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

Statistical research spans an enormous range from direct subject-matter collaborations to pure mathematical theory. The Annals of Applied Statistics (AOAS) is aimed at papers in the applied half of ...

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 ...

Survival analysis involves the consideration of the time between a fixed starting point (e.g. diagnosis of cancer) and a terminating event (e.g. death). The key feature that distinguishes such data ...