What will I be able to do upon completing the Specialization?

The skills you will acquire in the SAS Statistical Business Analyst specialization are useful in a variety of careers, including business analyst, researcher, statistician, or data scientist and prepare you for the SAS Certified Statistical Business Analyst Using SAS®9: Regression and Modeling exam.

Is this course really 100% online? Do I need to attend any classes in person?

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Certificate, you’re automatically subscribed to the full Certificate. Visit your learner dashboard to track your progress.

SAS Statistical Business Analyst Professional Certificate

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SAS Statistical Business Analyst Professional Certificate

Distinguish Yourself as a Modeler. You will acquire SAS statistics, modeling, and programming skills including ANOVA, regression, logistic regression, business applications of modeling, and challenges of modeling.

Instructors: Marc Huber

16,572 already enrolled

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3 course series

Earn a career credential that demonstrates your expertise

4.7

(187 reviews)

Intermediate level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

3 course series

Earn a career credential that demonstrates your expertise

4.7

(187 reviews)

Intermediate level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Perform ANOVA, Regression, and logistic regression analysis with one or many inputs
Prepare inputs for predictive models
Train, validate, and evaluate statistical models

Details to know

Shareable certificate

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Industry certification

Taught in English

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

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Professional Certificate - 3 course series

This program is for those who want to enhance their predictive and statistical modeling skills to drive data-informed business outcomes. If modeling data for business outcomes is relevant in your job role or industry, this certificate is a valuable indication of your proficiency.

Applied Learning Project

There are numerous hands-on practices integrated throughout the three courses of the program. Data examples are general enough to be applicable to a broad range of subject areas. Specific examples you will see in the courses address agriculture, manufacturing, health care, banking, retail, and nonprofit.

Introduction to Statistical Analysis: Hypothesis Testing

Course 110 hours

What you'll learn

Skills you'll gain

Category: Statistical Hypothesis Testing

Category: Correlation Analysis

Category: Regression Analysis

Category: Statistical Inference

Category: Statistical Analysis

Category: Statistical Modeling

Category: SAS (Software)

Category: Probability & Statistics

Category: Plot (Graphics)

Category: Statistical Methods

Regression Modeling Fundamentals

Course 211 hours

What you'll learn

Skills you'll gain

Category: Statistical Modeling

Category: Regression Analysis

Category: SAS (Software)

Category: Statistical Analysis

Category: Data Analysis

Category: Predictive Modeling

Category: Logistic Regression

Category: Data Preprocessing

Category: Statistical Methods

Category: Model Evaluation

Category: Model Deployment

Category: Probability & Statistics

Predictive Modeling with Logistic Regression using SAS

Course 316 hours

What you'll learn

This course covers predictive modeling using SAS/STAT software with emphasis on the LOGISTIC procedure. This course also discusses selecting variables and interactions, recoding categorical variables based on the smooth weight of evidence, assessing models, treating missing values, and using efficiency techniques for massive data sets. You learn to use logistic regression to model an individual's behavior as a function of known inputs, create effect plots and odds ratio plots, handle missing data values, and tackle multicollinearity in your predictors. You also learn to assess model performance and compare models.