Practicing for the SAS Programming Certification Exam

Go to Course: https://www.coursera.org/learn/practicing-sas-programming-certification

Introduction

### Course Review and Recommendation: Practicing for the SAS Programming Certification Exam If you are aiming to solidify your skills in SAS programming and prepare for the SAS Certified Specialist: Base Programming Using SAS 9.4 Exam, the Coursera course *Practicing for the SAS Programming Certification Exam* is an excellent opportunity for you. This course effectively bridges the gap between theoretical knowledge and practical application, ensuring you are well-prepared for the certification exam and real-world programming challenges. #### Course Overview The course is structured to offer a comprehensive review of SAS programming concepts, utilizing a hands-on approach. The initial module sets the stage, introducing students to the course structure and guiding them through the setup of necessary data for practical exercises. This foundational step is vital, establishing a strong basis for the activities to come. #### Course Syllabus Highlights 1. **Case Study/Programming Assignment: Analyze TSA Claims Data** - In this module, participants apply their learned skills to a real-world AWS problem by working with Transportation Security Administration claims data. This exercise not only reinforces your SAS programming knowledge from the previous courses but also improves your analytical skills and problem-solving abilities. Engaging in such case studies prepares you for the types of data and situations you might encounter in your professional career. 2. **Case Study: Preparing World Tourism Data** - This segment of the course allows you to work with global tourism data, further challenging you to utilize your SAS skills to clean, manipulate, and analyze data. The emphasis on tourism data adds an interesting dimension to the course, showcasing how SAS can be applied across different sectors, from transportation to global economics. 3. **Base SAS Certification Practice Exams** - As a crucial part of your preparatory journey, these practice exams simulate the actual SAS certification test environment. This feature is invaluable as it helps you gauge your readiness, familiarize yourself with the exam format, and identify areas where you may need additional study or practice. It also aids in reducing exam anxiety by making you more comfortable with the testing process. #### Why You Should Enroll This course is not just a review; it's an in-depth exploration of SAS programming concepts applied in a practical setting. Here are some key reasons to consider enrolling: - **Hands-On Experience:** The case studies provide a realistic insight into problem-solving using SAS, which is critical as many jobs require proficiency in handling empirical data. - **Exam Preparedness:** The practice exams are instrumental for those serious about certification. They help in self-assessment and tracking progress, making your study efforts more efficient. - **Flexible Learning:** As part of the Coursera platform, you can learn at your own pace, balancing your other commitments while still advancing your education. #### Conclusion *Practicing for the SAS Programming Certification Exam* on Coursera stands out as a highly beneficial course for aspiring SAS-certified professionals. With its blend of theoretical knowledge and practical application, it prepares students not only for the certification but also for real-world data challenges. Whether you are already familiar with SAS or have just completed introductory courses, this class serves as the perfect stepping stone to achieving your certification goals and enhancing your career prospects. I highly recommend it to anyone looking to deepen their SAS programming skills and prepare for the SAS Certified Specialist exam.

Syllabus

Course Overview

In this module you get an overview of this course and set up the data you need for practices and activities.

This module enables you to apply what you learned in Getting Started with SAS Programming to a real programming problem.