Data Analytics: Regression Models

Name: Data Analytics: Regression Models
Availability: InStock

This free online takes you through the details the techniques and frameworks used in regression modelling and analysis

Published by

Saved For Later

Confident you have the skills to certify without completing the course content?

Learning Outcomes

Upon successful completion of this course, you will be able to:

Discuss the intuition behind the maximum likelihood estimation theory
Explain the graph of the natural logarithm of the likelihood
Describe the estimation of Poisson and exponential distribution parameter
Discuss the python demo for estimation of population parameters for regression equation
Explain the graphical illustration of likelihood contribution
Describe how to build the logistic regression model and equation
Discuss the intuition behind the maximum likelihood estimation theory
Explain the graph of the natural logarithm of the likelihood
Describe the estimation of Poisson and exponential distribution parameter
Discuss the python demo for estimation of population parameters for regression equation
Describe the relationship between the odds ratio and the coefficients of independent variables

Published by

Positive learner ratings

Learners Courses

Earn credentials that matter: Anyone can say they’re learning. A CPD-accredited Alison Certificate proves you followed through.
Get an edge over others: Add your Certificate to your CV, LinkedIn, and Alison Profile to strengthen job applications and promotion opportunities.
Show you’re serious about growth: A Certificate signals initiative, commitment, and a willingness to keep learning; qualities employers actively look for.