Quantifying Relationships with Regression Models
Master linear regression analysis techniques, from basic bivariate models to advanced multivariate analysis with interaction terms and binary variables.
Master linear regression analysis techniques, from basic bivariate models to advanced multivariate analysis with interaction terms and binary variables.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Literacy Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.7
(19 ratings)
2,723 already enrolled
Instructors:
English
Powered by
What you'll learn
Construct and interpret multivariate regression models
Evaluate model fit and regression assumptions
Work with categorical and dummy variables
Implement interaction terms effectively
Analyze binary dependent variable models
Skills you'll gain
This course includes:
1.8 Hours PreRecorded video
14 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This comprehensive course introduces students to linear regression modeling, starting with basic bivariate analysis and progressing to complex multivariate models. The curriculum covers correlation analysis, prediction error, model fitting and evaluation, and advanced topics like interaction terms and binary dependent variables. Students learn to interpret and critically evaluate regression analyses while understanding both the power and limitations of these statistical tools.
Regression Models: What They Are and Why We Need Them
Module 1 · 2 Hours to complete
Fitting and Evaluating a Bivariate Regression Model
Module 2 · 2 Hours to complete
Multivariate Regression Models
Module 3 · 2 Hours to complete
Extensions of the Multivariate Model
Module 4 · 3 Hours to complete
Fee Structure
Instructor
Leading Expert in Data Analytics and Policy at Johns Hopkins University
Dr. Jennifer Bachner is the Director of the Master of Science in Data Analytics and Policy program and the Certificate in Government Analytics program at Johns Hopkins University. With a robust academic background, she earned her Ph.D. in Government from Harvard University and holds undergraduate degrees in political science and social studies education from the University of Maryland, College Park. Dr. Bachner is a prolific author, having co-written significant works such as America’s State Governments: A Critical Look at Disconnected Democracies and What Washington Gets Wrong, alongside Benjamin Ginsberg. Her research focuses on the intersection of analytics, political behavior, and online education, contributing to reports like Predictive Policing: Preventing Crime with Data and Analytics, published by the IBM Center for the Business of Government. As an expert in her field, she has been featured in major media outlets including the Washington Post and NPR. Dr. Bachner's commitment to advancing data-driven policy solutions and her leadership in educational programs underscore her vital role at Johns Hopkins University, where she continues to shape the future of governance and analytics education.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
4.7 course rating
19 ratings
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.