Introduction to Statistical Learning will explore concepts in statistical modeling, such as when to use certain models, how to tune those models, and if other options will provide certain trade-offs. We will cover Regression, Classification, Trees, Resampling, Unsupervised techniques, and much more!
Regression and Classification
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Regression and Classification
This course is part of Statistical Learning for Data Science Specialization
Instructor: James Bird
2,638 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.0
(13 reviews)
Intermediate level
Recommended experience
Flexible schedule
Approx. 34 hours
Learn at your own pace
Build toward a degree
What you'll learn
Express why Statistical Learning is important and how it can be used.
Identify the strengths, weaknesses and caveats of different models and choose the most appropriate model for a given statistical problem.
Determine what type of data and problems require supervised vs. unsupervised techniques.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
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This course is part of the Statistical Learning for Data Science Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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- Gain a foundational understanding of a subject or tool
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There are 6 modules in this course
Introduction to overarching and foundational concepts in Statistical Learning.
What's included
9 videos2 readings1 discussion prompt
Exploration into assessing models in different situations. How do we define a "best" model for given data?
What's included
6 videos2 programming assignments1 discussion prompt
Introduction to Simple Linear Regression, such as when and how to use it.
What's included
5 videos1 discussion prompt
A deep dive into multiple linear regression, a strong and extremely popular technique for a continuous target.
What's included
6 videos3 programming assignments
What's included
7 videos1 discussion prompt
What's included
8 videos5 programming assignments
Instructor
Offered by
Recommended if you're interested in Probability and Statistics
University of Colorado Boulder
University of Colorado Boulder
University of Colorado Boulder
Build toward a degree
This course is part of the following degree program(s) offered by University of Colorado Boulder. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
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4.0
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DM
5
Reviewed on Apr 28, 2024
Great course with clear and concise explanation. I highly recommend taking the course.
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