This course is best suited for individuals who have a technical background in mathematics/statistics/computer science/engineering pursuing a career change to jobs or industries that are data-driven such as finance, retain, tech, healthcare, government and many more. The opportunity is endless.
Model Diagnostics and Remedial Measures
Ends tomorrow! Save 40% on your access to 10,000+ programs and make a real impact in your career. Save now.
Model Diagnostics and Remedial Measures
This course is part of Advanced Statistical Techniques for Data Science Specialization
Instructor: Kiah Ong
Included with Learn more
Ask Coursera
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Build toward a degree
What you'll learn
Describe the assumptions of the linear regression models.
Use diagnostic plots to detect violations of the assumptions of a linear regression model.
Perform variable selections and model validations.
Skills you'll gain
- Statistical Inference
- Regression Analysis
- Scatter Plots
- Probability Distribution
- Time Series Analysis and Forecasting
- Correlation Analysis
- Verification And Validation
- Statistical Analysis
- Plot (Graphics)
- Statistical Hypothesis Testing
- Model Evaluation
- Statistical Methods
- Data Transformation
- Feature Engineering
- Statistical Modeling
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
11 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Advanced Statistical Techniques for Data Science Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 3 modules in this course
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Build toward a degree
This course is part of the following degree program(s) offered by Illinois Tech. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
Instructor
Offered by
Explore more from Probability and Statistics
Johns Hopkins University
Illinois Tech
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
