32 Probability and Statistics Courses

The purpose of this series of courses is to teach the basics of Computational Statistics for the purpose of performing inference to aspiring or new Data Scientists....

Welcome to Introduction to Predictive Modeling, the first course in the University of Minnesota’s Analytics for Decision Making specialization. This course will...

In this course, you will learn the basics of understanding the data you have and why correctly classifying data is the first step to making correct decisions. You...

Learn fundamental concepts in data analysis and statistical inference, focusing on one and two independent samples.

In this course, you will learn to analyze measurement systems for process stability and capability and why having a stable measurement process is imperative prior...

Introduction to Statistical Learning will explore concepts in statistical modeling, such as when to use certain models, how to tune those models, and if other options...

In this course, you will learn to analyze data in terms of process stability and statistical control and why having a stable process is imperative prior to perform...

This course will focus on theory and implementation of hypothesis testing, especially as it relates to applications in data science. Students will learn to use hypothesis...

This course introduces statistical inference, sampling distributions, and confidence intervals. Students will learn how to define and construct good estimators,...

Statistical modeling lies at the heart of data science. Well crafted statistical models allow data scientists to draw conclusions about the world from the limited...

This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will...

This is the fourth of seven courses in the Google Advanced Data Analytics Certificate. In this course, you’ll discover how data professionals use statistics to...

"Trees, SVM and Unsupervised Learning" is designed to provide working professionals with a solid foundation in support vector machines, neural networks,...

By the end of this project, you will be able to analyze and data and answer three different questions by Data wrangling which is the process of gathering, selecting,...