Introduction to Probability and Statistics for Data Science provides a solid course in the fundamental concepts, methods and theory of statistics for students in statistics, data science, ...

With the rapid growth of technology and the exponential increase in data, careers in data science have become highly sought ...

Our affordable, effective digital course solutions adapt to support every learner. With flexible, ready-made courses and custom creation options, instructors will have the tools to improve student ...

It is especially appropriate for students with an undergraduate science or engineering major who have not had a rigorous calculus-based probability and statistics course. The course covers the topics ...

the use of statistics is ubiquitous in science, engineering, medicine and epidemiology, marketing, and many other application areas. Probability theory provides a mathematical framework for studying ...

Or pursue a graduate degree in statistics or an allied area, such as biostatistics, epidemiology, or analytics. Michigan Tech's degree program includes foundational mathematics courses (calculus, ...

Provides a one-semester course in probability and statistics with applications in the engineering sciences. Probability of events, discrete and continuous random variables cumulative distribution, ...

Research of the probability and statistics group includes particle systems, theoretical statistics, non-conventional random walks, random matrix theory, and random polynomials. Research interests also ...

Covers algorithms of cleaning and munging data, probability theory and common distributions, statistical simulation, drawing inferences from data, and basic statistical modeling.

The course provides a precise and accurate treatment of probability, distribution theory and statistical inference. As such there will be a strong emphasis on mathematical statistics as important ...