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Resampling, Selection and Splines
Master statistical learning techniques including resampling methods, model selection, and spline analysis for advanced data science applications.
Course Cost
Free course
Intermediate
Skill Level
13 Hours
Self-paced lessons
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 Statistical Learning for Data Science 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.
English
What you'll learn
Apply resampling methods to evaluate and improve model performance
Implement ridge regression and LASSO for feature selection
Use cross-validation techniques for model validation
Master bootstrapping for statistical inference
Develop expertise in generalized least squares methods
Skills you'll gain
This course includes:
3.6 Hours PreRecorded video
3 programming assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
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There are 5 modules in this course
This comprehensive course explores advanced statistical learning techniques essential for data science professionals. The curriculum covers crucial topics including resampling methods, model selection techniques, and spline analysis. Through hands-on programming assignments and theoretical foundations, students learn to optimize model fitting procedures, implement cross-validation techniques, and apply bootstrapping methods. The course emphasizes practical applications while building a strong theoretical understanding of statistical learning concepts.
Welcome and Review
Module 1 · 1 Hours to complete
Generalized Least Squares
Module 2 · 2 Hours to complete
Shrink Methods
Module 3 · 5 Hours to complete
Cross-Validation
Module 4 · 3 Hours to complete
Bootstrapping
Module 5 · 2 Hours to complete
Fee Structure
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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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.