Aim of Course:
To provide an easy introduction to statistical inference for a single variable.
Aim of Course:
This course will teach you how to design, monitor and analyze clinical trials using statistically sound principles that incorporate interim looks at the data, possible early stopping, and sample size re-estimation at interim.
Aim of Course:
This course will introduce you to the basic concepts in predictive analytics, also called predictive modeling, the most prevalent form of data mining.
Aim of Course:
In this online course, you will learn how to examine data with the goal of detecting anomalies or abnormal instances. This task is critical in a wide range of applications ranging from fraud detection to surveillance.
Aim of Course:
This course will explain meta analysis - the methods that are used to assess multiple statistical studies on the same subject and draw conclusions.