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SAS programming Statistical Analyst Certification Course (Udemy.com)

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

Created by: Sharon Cheng

Last updated April 2025

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What you will 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

How it compares

Against the other 371 rated Udemy courses in Data Analysis on CourseDuck:

  • Rating4.6 out of 5higher than 73% of them
  • Reviews167#298 of 372 by number of reviews
  • Length11.9 hourslonger than 81% of them
  • Last updatedApril 2025earlier than 56% of them

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Course Description

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

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Instructor Details

Sharon Cheng

Welcome to SC Statistical Programming!

My Qualifications:

(1) 7 years of experience as a Statistician/SAS Programmer in corporate settings

(2) SAS-Certified Professional

(3) 10 years of teaching SAS programming, helping students earn official SAS certifications

Before becoming an online SAS programming instructor, I worked as a statistician and SAS programmer, gaining extensive experience in the corporate world. I am a SAS-certified professional with a strong passion for teaching. My goal is to make SAS programming accessible and affordable for everyone, whether you are just starting or looking to refine your skills.

To achieve this goal, I founded my business SC Statistical Programming, which offers a variety of SAS learning resources, including SAS programming tutorials, coding articles, and video-based online courses at different levels. Whether you're a beginner or an experienced professional, my courses are carefully designed to make learning SAS programming straightforward and efficient.

Published courses:

(1) SAS Programming BASE Certification Course for SAS Beginners: The Complete Preparation Course for SAS Certified Base Programming Professionals for SAS 9.4 (Exam ID A00-231, A00-215)

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Reviews

4.6

167 ratings on Udemy

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By Camaren Rogers on 2/3/2026

A little outdated but still really good tutorial.

By Steve Job Pam on 1/28/2026

My personal experience was great as I learned new things that others could not see. Great lectures.

By 上尾治正 on 1/19/2025

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。

By Shehnaz Fatima on 1/7/2024

Awesome way of guiding...............Love you.

By Charles Ikenna Nwankwo on 11/20/2023

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

By Charles Chen on 10/17/2021

excellent course. The example is very helpful in learning.

By Sherry song on 10/16/2020

The course is well prepared and organized. It is easy for the students to follow step by step. The instructor's explanation is very clear. The brief theories plus the good examples. An excellent course!

By Ron Hardy on 9/14/2020

Good teaching style easily understood and well explained.

By Asim Khokhar on 8/15/2020

Good interpretation of sas coding and tables God preparation for SAs Exam A00-240

By Alexis Nangle on 8/10/2020

Very very good content and explanation is excellent.

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Read all 167 reviews on Udemy

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Overall Score : 92 / 100