Udemy

SAS programming Statistical Analyst Certification Course

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  • 1,518 Students
  • Updated 4/2025
4.6
(162 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
11 Hour(s) 56 Minute(s)
Language
English
Taught by
Sharon Cheng
Rating
4.6
(162 Ratings)

Course Overview

SAS programming Statistical Analyst Certification Course

The Complete SAS Prep Course: Statistical Business Analyst using SAS 9.4 on Regression and Modeling (exam ID A00-240)

This course is designed for anyone preparing to pass the SAS Certified Statistical Business Analyst Using SAS 9.4: Regression and Modeling exam (Exam ID: A00-240). Whether you’re looking to enhance your analytical skills or advance your career, this course provides the essential knowledge and hands-on experience needed to succeed.


Course Highlights

  • Comprehensive Exam Preparation: A complete guide for the SAS Certified Statistical Business Analyst Using SAS 9.4: Regression and Modeling (Exam ID: A00-240).

  • Industry-Recognized Certification: This SAS certification is one of the featured credentials offered by SAS, adding value to your professional portfolio.


What You Will Learn

By taking this course, you will gain mastery in:

1. Analysis of Variance (ANOVA)
2. Linear and Logistic Regression
3. Preparing Inputs for Predictive Models
4. Measuring Model Performance


Course Methodology

  • Step-by-Step Code Explanations: Each SAS program is thoroughly explained, ensuring clarity and understanding.

  • Structured Learning: Statistical concepts are presented through engaging PowerPoint presentations.

  • Comprehensive Output Analysis: Detailed explanations of all statistical outputs help solidify your understanding.

  • End-to-End Predictive Modeling: Covers data preparation, sampling, model building, validation, scoring, and performance measurement.


Additional Course Features

  • Downloadable Resources: All datasets, SAS programs, and PowerPoint slides used in the course are available for download in Lecture 4 (Note: Materials are for practice only and are protected by copyright).

  • Quizzes & Assessments: Test your knowledge with quizzes at the end of each section.


Prerequisites

Basic knowledge of statistical analysis is highly recommended for an optimal learning experience.


SAS Software for This Course

This course was originally developed using SAS University Edition but has been fully updated for SAS OnDemand for Academics—a free, web-based version of SAS Studio. The software’s interface, functionality, and appearance remain consistent, ensuring a seamless learning experience.

Detailed instructions for using SAS OnDemand for Academics are provided in Section 2.


Course Ratings & Reviews – A Note from the Instructor

Your honest and thoughtful feedback is highly appreciated! Your ratings help improve course content and enhance your learning experience.

This course is regularly updated to reflect the latest SAS certification changes and incorporate student suggestions, ensuring it remains relevant and valuable. Fair and constructive reviews are essential to improving the course’s quality, and I truly appreciate your honest input. In this field, course ratings above 4.5 are widely regarded as indicators of high-quality content.

Thank you for your support!


References

  • SAS Certification Prep Guide: Statistical Business Analysis Using SAS 9

Course Content

  • 7 section(s)
  • 89 lecture(s)
  • Section 1 Course Overview and downloadable course materials
  • Section 2 Use the free web-based SAS studio "SAS OnDemand for Academics" with this course
  • Section 3 Analysis of Variance (ANOVA)
  • Section 4 Prepare Inputs Vars for predictive Modeling
  • Section 5 Linear Regression Analysis
  • Section 6 Logistic Regression Analysis
  • Section 7 Measure of Model Performance

What You’ll Learn

  • This course will prepare you for SAS certification (exam ID A00-240): SAS® Certified Statistical Business Analyst Using SAS®9: Regression and Modeling
  • Analysis of variance
  • Linear and logistic regression
  • Preparing inputs for predictive models
  • Measuring model performance


Reviews

  • K
    Kostiantyn Shvets
    5.0

    Perfect)

  • 上尾治正
    5.0

    長い時間が掛かりましたが、SASに対する理解を深めることができました。英語の勉強にもなりました。

  • C
    Charles Ikenna Nwankwo
    3.5

    I am happy with this course, it is helpful...!

  • S
    Sanjay Ahlawat
    5.0

    Good course

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