Coursera

Preparing for the SAS Programming Certification Exam (Coursera)

Offered by SAS,

In this course you have the opportunity to use the skills you acquired in the two SAS programming courses to solve realistic problems. This course is also designed to give you a thorough review of SAS programming concepts so you are prepared to take the SAS Certified Specialist: Base Programming Using SAS 9.4 Exam.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Syllabus

WEEK 1
Course Overview and Data Setup
In this module you get an overview of this course and set up the data you need for practices and activities.
Review of Getting Started with SAS Programming, Part 1
This module is a review of the first three modules of the Getting Started with SAS Programming course. Lectures demonstrate the concepts you learned, and readings from the SAS Certification Prep Guide reinforce those concepts. The review and programming questions assess your understanding of the material.

WEEK 2
Review of Getting Started with SAS Programming, Part 2
This module reviews the preparing, analyzing and exporting modules of the Getting Started with SAS Programming course. Lectures demonstrate the concepts you learned, and readings from the SAS Certification Prep Guide reinforce those concepts. The review and programming questions assess your understanding of the material.

WEEK 3
Review of Doing More with SAS Programming, Part 1
This module is a review of the first four modules of the Doing More with SAS Programming course. Lectures demonstrate the concepts you learned about for preparing data, and readings from the SAS Certification Prep Guide reinforce those concepts. The review and programming questions assess your understanding of the material.

WEEK 4
Review of Doing More with SAS Programming, Part 2
This module is a review of the last three modules of the Doing More with SAS Programming course. Lectures demonstrate the concepts you learned about for preparing data, and readings from the SAS Certification Prep Guide reinforce those concepts. The review and programming questions assess your understanding of the material.

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Coursera

SAS

Statistical Thinking for Industrial Problem Solving, presented by JMP (Coursera)

Statistics & Data Analysis

Statistical Thinking for Industrial Problem Solving is an applied statistics course for scientists and engineers offered by JMP, a division of SAS. By completing this course, students will understand the importance of statistical thinking, and will be able to use data and basic statistical methods to solve many real-world problems.

Oct 19th 2026

5-12 Weeks

Data Analysis Exploratory Data Analysis Problem Solving

Coursera

University of Minnesota

Interprofessional Healthcare Informatics (Coursera)

Statistics & Data Analysis Data Science

Interprofessional Healthcare Informatics is a graduate-level, hands-on interactive exploration of real informatics tools and techniques offered by the University of Minnesota and the University of Minnesota's National Center for Interprofessional Practice and Education. We will be incorporating technology-enabled educational innovations to bring the subject matter to life. Over the 10 modules, we will create a vital online learning community and a working healthcare informatics network.

Oct 12th 2026

5-12 Weeks

Healthcare Informatics Telehealth

Coursera

Johns Hopkins University

Gestión del análisis de datos (Coursera)

Business

This one-week course describes the process of analyzing data and how to manage that process. We describe the iterative nature of data analysis and the role of stating a sharp question, exploratory data analysis, inference, formal statistical modeling, interpretation, and communication. In addition, we will describe how to direct analytic activities within a team and to drive the data analysis process towards coherent and useful results.

Oct 19th 2026

1 Week

Inference Data Analysis Exploratory Data Analysis

Coursera

LearnQuest

Data Processing with Azure (Coursera)

CS: Information & Technology

This Azure training course is designed to equip students with the knowledge need to process, store and analyze data for making informed business decisions. Through this Azure course, the student will understand what big data is along with the importance of big data analytics, which will improve the students mathematical and programming skills. Students will learn the most effective method of using essential analytical tools such as Python, R, and Apache Spark.

Oct 19th 2026

3 Weeks

Big Data Data Analysis Microsoft Azure

Coursera

University of Colorado Boulder

Statistics and Data Analysis with Excel, Part 2 (Coursera)

Statistics & Data Analysis Data Science

This course is meant to be a direct continuation of "Statistics and Data Analysis with Excel, Part 1." Therefore, it is not recommended to take Part 2 unless you've also taken Part 1. Building on the topics learned in Part 1 of the course (probability, probability mass and density functions, the normal and standard normal distributions), this course dives into a more applied side of statistics.

Oct 19th 2026

5-12 Weeks

Statistics Excel Data Analysis

Coursera

ESSEC Business School

Case studies in business analytics with ACCENTURE (Coursera)

Statistics & Data Analysis Data Science

This course is RESTRICTED TO LEARNERS ENROLLED IN Strategic Business Analytics SPECIALIZATION as a preparation to the capstone project. During the first two MOOCs, we focused on specific techniques for specific applications. Instead, with this third MOOC, we provide you with different examples to open your mind to different applications from different industries and sectors. The objective is to give you an helicopter overview on what's happening in this field. You will see how the tools presented in the two previous courses of the Specialization are used in real life projects.

Oct 19th 2026

3 Weeks

Healthcare Media Pharmaceutical

Coursera

University of London,University College London,CORE

Doing Economics: Measuring Climate Change (Coursera)

Statistics & Data Analysis Data Science

This course will give you practical experience in working with real-world data, with applications to important policy issues in today’s society. Each week, you will learn specific data handling skills in Excel and use these techniques to analyse climate change data, with appropriate readings to provide background information on the data you are working with. You will also learn about the consequences of climate change and how governments can address this issue.

Oct 19th 2026

4 Weeks

Economics Climate Change Data Analysis

Coursera

University of Toronto

Bioinformatic Methods I (Coursera)

Health & Society Statistics & Data Analysis

Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on.

Oct 19th 2026

5-12 Weeks

Biology Bioinformatics Molecular Biology

Coursera

Leiden University

Population Health: Predictive Analytics (Coursera)

Statistics & Data Analysis Data Science

Predictive analytics has a longstanding tradition in medicine. Developing better prediction models is a critical step in the pursuit of improved health care: we need these tools to guide our decision-making on preventive measures, and individualized treatments. In order to effectively use and develop these models, we must understand them better. In this course, you will learn how to make accurate prediction tools, and how to assess their validity. First, we will discuss the role of predictive analytics for prevention, diagnosis, and effectiveness. Then, we look at key concepts such as study design, sample size and overfitting.

Oct 26th 2026

4 Weeks

Health Data Analysis Predictive Analytics

Coursera

Vanderbilt University

ChatGPT Advanced Data Analysis (Coursera)

CS: Information & Technology

ChatGPT Advanced Data Analysis is going to transform tasks by helping amplify your productivity and supporting your creativity.

Oct 19th 2026

5-12 Weeks

Artificial Intelligence Data Analysis AI

Coursera

University of California, Santa Cruz

Bayesian Statistics: Mixture Models (Coursera)

Statistics & Data Analysis

Bayesian Statistics: Mixture Models introduces you to an important class of statistical models. The course is organized in five modules, each of which contains lecture videos, short quizzes, background reading, discussion prompts, and one or more peer-reviewed assignments. Statistics is best learned by doing it, not just watching a video, so the course is structured to help you learn through application.

Oct 19th 2026

5-12 Weeks

Statistics Data Analysis Statistical Models

Coursera

University of Edinburgh

Football: More than a Game (Coursera)

Education

Explore the world of football (soccer), the money, the rivalries, the trends, the past, the present, the men’s game, the women's game and the real issues. Whether you love it, hate it or try to ignore it – join us as we go behind the scenes to examine why football is more than just a game.

Oct 19th 2026

5-12 Weeks

Sports Data Analysis Football