Coursera

Practical SAS Programming and Certification Review (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
Case Study/Programming Assignment: Analyze TSA Claims Data
This module enables you to apply what you learned in Getting Started with SAS Programming to a real programming problem.

WEEK 4
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 5
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.

WEEK 6
Case Study: Preparing World Tourism Data

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

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.

Nov 16th 2026

5-12 Weeks

Statistics Data Analysis Statistical Models

Coursera

Duke University

Introduction to Machine Learning (Coursera)

Data Science

This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) as well as demonstrate how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction.

Nov 16th 2026

5-12 Weeks

ML NLP Machine Learning

Coursera

Politecnico di Milano,EIT Digital

Data Science for Business Innovation (Coursera)

Statistics & Data Analysis Data Science

The course is a compendium of the must-have expertise in data science for executive and middle-management to foster data-driven innovation. It consists of introductory lectures spanning big data, machine learning, data valorization and communication. Topics cover the essential concepts and intuitions on data needs, data analysis, machine learning methods, respective pros and cons, and practical applicability issues.

Nov 16th 2026

4 Weeks

NoSQL Machine Learning Big Data

Coursera

Johns Hopkins University

Advanced Linear Models for Data Science 1: Least Squares (Coursera)

Statistics & Data Analysis Data Science

Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: a basic understanding of linear algebra and multivariate calculus; a basic understanding of statistics and regression models; at least a little familiarity with proof based mathematics; basic knowledge of the R programming language.

Nov 16th 2026

5-12 Weeks

Linear Algebra Linear Regression Data Science

Coursera

University of Colorado Boulder

Ethical Issues in Data Science (Coursera)

Statistics & Data Analysis Data Science

Computing applications involving large amounts of data – the domain of data science – impact the lives of most people in the U.S. and the world. These impacts include recommendations made to us by internet-based systems, information that is available about us online, techniques that are used for security and surveillance, data that is used in health care, and many more. In many cases, they are affected by techniques in artificial intelligence and machine learning.

Nov 23rd 2026

5-12 Weeks

Philosophy Artificial Intelligence Security

Coursera

Johns Hopkins University

Gender Foundations in Health Data: A Data for Health Course (Coursera)

Health & Society

Welcome to Gender Foundations in Health Data: A Data for Health course. This course was developed from an online seminar series of the same name, that was hosted by Johns Hopkins University Bloomberg School of Health in 2021-22. The course instructors are Drs. Michelle Kaufman and Tahilin Sanchez Karver. This course will raise learners' awareness of the necessity of utilizing a gender lens in global public health data, policy, and practice, feature how-tos and key examples of integration of gender in data collection, analysis, and use from Data for Health partners.

Nov 23rd 2026

1 Week

Gender Data Analysis Health Data

Coursera

Columbia University

HI-FIVE: Health Informatics For Innovation, Value & Enrichment (Administrative/IT Perspective) (Coursera)

Health & Society Medicine & Pharmacology

HI-FIVE (Health Informatics For Innovation, Value & Enrichment) Training is an approximately 10-hour online course designed by Columbia University in 2016, with sponsorship from the Office of the National Coordinator for Health Information Technology (ONC). The training is role-based and uses case scenarios. No additional hardware or software are required for this course. Our nation’s healthcare system is changing at a rapid pace.

Nov 23rd 2026

4 Weeks

Health Innovation Healthcare

Coursera

Universidad Nacional Autónoma de México

Designing data-intensive applications (Coursera)

Statistics & Data Analysis Data Science

Welcome to the specialization course of Designing data-intensive applications. This course will be completed on four weeks, it will be supported with videos and exercises.

Nov 16th 2026

4 Weeks

Data Mining Data Analysis Relational Databases

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.

Nov 16th 2026

3 Weeks

Healthcare Media Pharmaceutical

Coursera

Rutgers University

Business Intelligence and Competitive Analysis (Coursera)

Business

By the end of 2019, it is clear that American Airlines (AAL), the world’s largest airline group, is in trouble. With the growth rate of its stock price ranked at the bottom of all major US airlines and going in the opposite direction from the SP500 index, AAL needs to find out what is going on, and how to turn the company and its stock price around.

Nov 23rd 2026

4 Weeks

Data Analysis Business Intelligence Benchmarking

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.

Nov 16th 2026

3 Weeks

Big Data Data Analysis Microsoft Azure

Coursera

Johns Hopkins University

Advanced Linear Models for Data Science 2: Statistical Linear Models (Coursera)

Statistics & Data Analysis Data Science

Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. Before beginning the class make sure that you have the following: a basic understanding of linear algebra and multivariate calculus; a basic understanding of statistics and regression models; at least a little familiarity with proof based mathematics; basic knowledge of the R programming language.

Nov 23rd 2026

4 Weeks

Algebra Linear Algebra Data Science