Predictive ModellingSAS ProgrammingMultivariate Time Series AnalysisMultivariate AnalysisMultivariate StatisticsSurrogate ModelOversamplingLogistic Regressionregression
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.
Offered By
What you will learn
Perform ANOVA, Regression, and logistic regression analysis with one or many inputs
Prepare inputs for predictive models
Train, validate, and evaluate statistical models
Skills you will gain
About this Professional Certificate
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.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Prior SAS programming knowledge is required, which can be acquired by completing the SAS Programming specialization.
Approximately 3 months to complete
Suggested pace of 3 hours/week
English
Subtitles: English, Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, Spanish
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Prior SAS programming knowledge is required, which can be acquired by completing the SAS Programming specialization.
Approximately 3 months to complete
Suggested pace of 3 hours/week
English
Subtitles: English, Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, Spanish
There are 3 Courses in this Professional Certificate
Introduction to Statistical Analysis: Hypothesis Testing
24 ratings
This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.
Regression Modeling Fundamentals
14 ratings
This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.
Predictive Modeling with Logistic Regression using SAS
17 ratings
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.
Offered by
SAS
Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.
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