SAS

Regression Modeling Fundamentals

This course is part of SAS Statistical Business Analyst Professional Certificate

Taught in English

Jordan Bakerman

Instructor: Jordan Bakerman

6,769 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.7

(47 reviews)

Intermediate level
Some related experience required
11 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

33 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.7

(47 reviews)

Intermediate level
Some related experience required
11 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your Data Analysis expertise

This course is part of the SAS Statistical Business Analyst Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
  • 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 from SAS
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There are 5 modules in this course

In this module you learn about the course and the data you analyze in this course. Then you set up the data you need to do the practices in the course.

What's included

2 videos5 readings

In this module you explore several tools for model selection. These tools help limit the number of candidate models so that you can choose an appropriate model that's based on your expertise and research priorities.

What's included

11 videos3 readings4 quizzes

In this module you learn to verify the assumptions of the model and diagnose problems that you encounter in linear regression. You learn to examine residuals, identify outliers that are numerically distant from the bulk of the data, and identify influential observations that unduly affect the regression model. Finally, you learn to diagnose collinearity to avoid inflated standard errors and parameter instability in the model.

What's included

18 videos7 quizzes

In this module you learn how to transition from inferential statistics to predictive modeling. Instead of using p-values, you learn about assessing models using honest assessment. After you choose the best performing model, you learn about ways to deploy the model to predict new data.

What's included

11 videos1 reading4 quizzes

In this module you look for associations between predictors and a binary response using hypothesis tests. Then you build a logistic regression model and learn about how to characterize the relationship between the response and predictors. Finally, you learn how to use logistic regression to build a model, or classifier, to predict unknown cases.

What's included

25 videos18 quizzes

Instructor

Instructor ratings
4.5 (10 ratings)
Jordan Bakerman
SAS
4 Courses51,714 learners

Offered by

SAS

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Learner reviews

Showing 3 of 47

4.7

47 reviews

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  • 4 stars

    17.02%

  • 3 stars

    2.12%

  • 2 stars

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  • 1 star

    2.12%

KK
4

Reviewed on Jan 25, 2021

SS
5

Reviewed on Feb 13, 2021

RM
5

Reviewed on Jun 14, 2021

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