SAS courses can help you learn data manipulation, statistical analysis, predictive modeling, and data visualization techniques. You can build skills in interpreting complex datasets, conducting regression analysis, and creating detailed reports. Many courses introduce tools like SAS Enterprise Guide and SAS Studio, that support implementing analytics solutions and managing data workflows effectively.

★ 4.8 (3.2K) · Beginner · Course
SAS
Skills you'll gain: SAS (Software), Data Validation, Data Manipulation, Data Import/Export, Requirements Analysis, Data Transformation, Programming Principles, Exploratory Data Analysis, Analysis, Data Quality, Debugging, Data Access, Data Analysis, Statistical Programming, Data Processing, Data Preprocessing, Microsoft Excel, Data Presentation, SQL, Descriptive Statistics
★ 4.8 (3.5K) · Beginner · Professional Certificate · 3 - 6 Months
Skills you'll gain: SQL, SAS (Software), Database Management, Query Languages, Data Access, Database Management Systems, Data Presentation, Data Transformation, Statistical Programming, Data Manipulation, Data Processing, Data Management, Code Reusability, Data Cleansing, Software Documentation
★ 4.8 (410) · Intermediate · Professional Certificate · 3 - 6 Months
Skills you'll gain: SAS (Software), Data Visualization Software, Exploratory Data Analysis, Dashboard Creation, Data Visualization, Plot (Graphics), Dashboard, Data Manipulation, Data Presentation, Data Transformation, Datamaps, Data Analysis, Interactive Data Visualization, Data Mapping, Business Analytics, Spatial Data Analysis, Analytics, Data Maintenance, Graphing, Data Integration
★ 4.7 (1.1K) · Beginner · Professional Certificate · 3 - 6 Months
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Model Training, Applied Machine Learning, Statistics, Machine Learning Methods, Workflow Management, Feature Engineering, SAS (Software), Machine Learning, Correlation Analysis, Artificial Neural Networks, Machine Learning Algorithms
★ 4.7 (107) · Advanced · Professional Certificate · 3 - 6 Months

Skills you'll gain: SAS (Software), Statistical Hypothesis Testing, Predictive Modeling, Logistic Regression, Statistical Analysis, Model Evaluation, Statistical Modeling, Regression Analysis, Correlation Analysis, Model Training, Statistical Methods, Statistical Inference, Business Analytics, Probability & Statistics, Model Deployment, Data Analysis, Data Preprocessing, Graphical Tools, Sampling (Statistics)
★ 4.6 (229) · Intermediate · Professional Certificate · 3 - 6 Months

Sage Publications
Skills you'll gain: Quantitative Research, SPSS, SPSS (Software), Regression Analysis, Research Design, Descriptive Statistics, Surveys, Correlation Analysis, Statistical Analysis, Research Methodologies, Statistical Methods, Probability & Statistics, Logistic Regression, Analysis, Data Analysis Software, Statistical Software, Statistics, Statistical Modeling, Educational Materials, IBM Cloud
Intermediate · Course · 1 - 3 Months
Skills you'll gain: Exploratory Data Analysis, Data Visualization, Data Literacy, Data-Driven Decision-Making, Data Presentation, Data Storytelling, SAS (Software), Data Preprocessing, Data Manipulation, Data Transformation, Data Analysis, Data Mapping, Analysis, Data Cleansing, Data Visualization Software, Data Integration, Data Maintenance, Data Management, Data Access, Statistical Programming
★ 4.7 (1.1K) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: SAS (Software), Exploratory Data Analysis, Data Visualization Software, Data Analysis, Data Access, Statistical Programming, Web Applications
★ 4.7 (891) · Beginner · Course · 1 - 4 Weeks

Multiple educators
Skills you'll gain: Cloud Solutions, Cloud Security, System Monitoring, Data-Driven Decision-Making, Business Analytics, Team Oriented, Data Management, Data Visualization Software, Enterprise Security, Infrastructure as Code (IaC), Artificial Intelligence, Data Processing, Data Import/Export, Computer Programming, Scalability
★ 4.5 (130) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Sampling (Statistics), Logistic Regression, SAS (Software), Predictive Analytics, Automation, Data Analysis Software, Data Integration, Predictive Modeling, Debugging, SQL, Report Writing, Data Manipulation, Statistical Software, Model Evaluation, Data Analysis, Data Mapping, Data Store, Analysis, Data Maintenance, Finance
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: SQL, SAS (Software), Database Management, Query Languages, Data Access, Database Management Systems, Data Presentation, Data Manipulation, Data Management
★ 4.9 (288) · Mixed · Course · 1 - 3 Months
Top-rated Sas courses offered by SAS on Coursera.
Earn a certificate in Sas from top universities and companies.
Top-rated beginner-friendly Sas courses with no prerequisites.
SAS, or Statistical Analysis System, is a powerful software suite used for advanced analytics, business intelligence, data management, and predictive analytics. It is important because it enables organizations to analyze data effectively, make informed decisions, and drive business strategies. With its robust capabilities in data manipulation and statistical analysis, SAS plays a crucial role in various industries, including healthcare, finance, and marketing, helping professionals derive insights from complex datasets.‎
A variety of job roles are available for those skilled in SAS. Positions such as Data Analyst, SAS Programmer, Business Analyst, and Statistical Analyst are common. Additionally, roles like Data Scientist and Business Intelligence Developer often require proficiency in SAS. These positions typically involve analyzing data, creating reports, and developing predictive models, making SAS expertise highly valuable in today's data-driven job market.‎
To learn SAS effectively, you should focus on several key skills. First, understanding data manipulation and management is essential, as it forms the foundation of any analysis. Familiarity with statistical concepts and techniques is also crucial. Additionally, programming skills in SAS language, including data step processing and PROC SQL, are important. Finally, knowledge of data visualization techniques will help you present your findings clearly and effectively.‎
There are several excellent online courses available for learning SAS. For beginners, the SAS Programmer Professional Certificate offers a comprehensive introduction to SAS programming. For those looking to advance their skills, the SAS Advanced Programmer Professional Certificate provides deeper insights into advanced programming techniques. Additionally, the SAS Statistical Business Analyst Professional Certificate focuses on applying statistical methods using SAS.‎
Yes. You can start learning SAS on Coursera for free in two ways:
If you want to keep learning, earn a certificate in SAS, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎
To learn SAS, start by enrolling in introductory courses that cover the basics of the software and programming language. Practice regularly by working on real datasets to apply what you learn. Utilize online resources, such as forums and tutorials, to enhance your understanding. Additionally, consider joining study groups or communities where you can share knowledge and ask questions. Hands-on practice and continuous learning are key to mastering SAS.‎
SAS courses typically cover a range of topics, including data manipulation, statistical analysis, data visualization, and reporting. You will learn about the SAS programming language, how to create and manage datasets, and how to perform various statistical tests. Advanced courses may also explore machine learning techniques, predictive modeling, and data mining, providing a comprehensive understanding of how to leverage SAS for data analysis.‎
For training and upskilling employees, the SAS Visual Business Analytics Professional Certificate is an excellent choice. It focuses on visualizing data and making data-driven decisions, which is crucial for modern businesses. Additionally, the Data Literacy: Exploring and Visualizing Data Specialization helps employees understand data and its implications, fostering a data-driven culture within organizations.‎