SAS
Predictive Modeling with Logistic Regression using SAS
SAS

Predictive Modeling with Logistic Regression using SAS

This course is part of SAS Statistical Business Analyst Professional Certificate

Taught in English

Marc Huber

Instructor: Marc Huber

6,823 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.6

(52 reviews)

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

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

40 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.6

(52 reviews)

Intermediate level
Some related experience required
16 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 7 modules in this course

What's included

1 video6 readings

In this module, you review the fundamentals of predictive modeling. Then you explore the business scenario data that is used throughout the course. Finally, you learn about common analytical challenges that you might encounter as a modeler.

What's included

15 videos1 reading6 quizzes

In this module, you investigate the concepts behind the logistic regression model. Then you learn to use the LOGISTIC procedure to fit a logistic regression model. Finally, you learn how to score new cases and adjust the model for oversampling.

What's included

18 videos1 reading4 quizzes

In this module, you learn how to deal with common problems with your predictor variables such as missing values, categorical predictors with many levels, a high number of redundant predictors, and nonlinear relationships with the response variable.

What's included

26 videos9 quizzes

In this module, you learn how to select the most predictive variables to use in your model.

What's included

23 videos1 reading12 quizzes

In this module, you learn how to assess the performance of your model and how to determine allocation rules that maximize profit. Finally, you learn how to generate a family of increasingly complex predictive models and how to select the best model.

What's included

30 videos1 reading9 quizzes

What's included

1 reading1 app item

Instructor

Instructor ratings
4.6 (15 ratings)
Marc Huber
SAS
2 Courses7,168 learners

Offered by

SAS

Recommended if you're interested in Data Analysis

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Learner reviews

Showing 3 of 52

4.6

52 reviews

  • 5 stars

    82.69%

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    9.61%

  • 3 stars

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  • 2 stars

    3.84%

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    3.84%

MC
5

Reviewed on Dec 30, 2022

TW
5

Reviewed on Jul 28, 2021

RM
5

Reviewed on Jun 14, 2021

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