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Available courses
Aim of Course:
In this course, you will learn how to make decisions in building a factor analysis model - including what model to use, the number of factors to retain, and the rotation method to use.
- Teacher: Shweta Jadhav
Aim of Course:
This course will explain the theory of generalized linear models (GLM), outline the algorithms used for GLM estimation, and explain how to determine which algorithm to use for a given data analysis.
- Teacher: James Hardin
Aim of Course:
This course covers the basic statistical principles in the design and analysis of randomized controlled trials.
- Teacher: Nand Kishore Rawat
Aim of Course:
This course teaches participants how to model financial events that have uncertainties associated with them.
- Teacher: Huybert Groenendaal
- Teacher: Jane Pouzou
Aim of Course:
This course, the second in a three-course sequence, provides an easy introduction to inference and association through a series of practical applications, based on the resampling/simulation approach.
- Teacher: Anuja Kulkarni
Aim of Course:
This course will cover the analysis of contingency table data (tabular data in which the cell entries represent counts of subjects or items falling into certain categories).
- Teacher: Christopher Brunsdon
Aim of Course:
To provide an easy introduction to statistical inference for a single variable.
- Teacher: Meena Badade
Aim of Course:
This course will teach you how to use various cluster analysis methods to identify possible clusters in multivariate data. In marketing applications, clusters of customer records are called market segments (and the process is called market segmentation).
- Teacher: Anthony Babinec
Aim of Course:
Rasch analysis constructs linear measures from scored observations, such as responses to multiple-choice questions, Likert scales and quality-of-life assessments. This course covers the practical aspects of data setup, analysis, output interpretation, fit analysis, differential item functioning, dimensionality and reporting.
- Teacher: Everett Smith
Aim of Course:
To provide an easy introduction to ANOVA and multiple linear regression through a series of practical applications.
- Teacher: Meena Badade