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.

Skills you'll gain: SAS (Software), Statistical Reporting, Data Import/Export, Data Validation, Data Access, Data Manipulation, Statistical Programming, Exploratory Data Analysis, Data Analysis Software, Data Preprocessing, Data Analysis, Data Transformation, SQL, Data Presentation, Microsoft Excel, Descriptive Statistics
★ 4.8 (3.2K) · Beginner · Course · 1 - 3 Months
SAS
Skills you'll gain: Data Manipulation, SAS (Software), Data Access, Data Import/Export, Microsoft Excel, Statistical Reporting, Data Analysis, Data Transformation, Exploratory Data Analysis, Data Validation, Statistical Analysis, Data Wrangling, Statistical Programming, Data Analysis Software, Data Processing, Data Preprocessing, Data Integration, Statistical Software, SQL, Data Presentation
★ 4.8 (3.5K) · Beginner · Professional Certificate · 3 - 6 Months
Skills you'll gain: SQL, SAS (Software), Database Management, Query Languages, Case Studies, Data Access, Database Management Systems, Data Presentation, Perl (Programming Language), Data Processing, Automation, Statistical Programming, Data Manipulation, Data Management, Code Reusability, Data Structures, Data Transformation, Data Validation, Data Analysis, Data Storage
★ 4.8 (408) · Intermediate · Professional Certificate · 3 - 6 Months
Skills you'll gain: SAS (Software), Network Analysis, Trend Analysis, Data Manipulation, Data Analysis, Forecasting, Data Quality, Text Mining, Data Visualization Software, Analysis, Data Mapping, Analytics, Data Visualization, Time Series Analysis and Forecasting, Business Analytics, Interactive Data Visualization, Data-Driven Decision-Making, Predictive Analytics, Business Reporting, Data Analysis Software
★ 4.7 (1.1K) · Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Logistic Regression, SAS (Software), Predictive Modeling, Model Evaluation, Predictive Analytics, Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, Statistical Modeling, Regression Analysis, Statistical Programming, Exploratory Data Analysis, Statistical Software, Statistical Methods, Probability & Statistics, Statistics, Model Training, Data Validation, Big Data, Plot (Graphics)
★ 4.6 (228) · Intermediate · Professional Certificate · 3 - 6 Months
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Classification And Regression Tree (CART), Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Model Training, Supervised Learning, Decision Tree Learning, Probability & Statistics, Data Processing, Machine Learning Software, Statistical Software, Machine Learning Methods, Business Process Modeling, Machine Learning, Correlation Analysis, Applied Machine Learning
★ 4.7 (105) · Advanced · Professional Certificate · 3 - 6 Months
Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Responsible AI, Data Ethics, Generative Adversarial Networks (GANs), Generative Model Architectures, LLM Application, Agentic systems, AI Security, Law, Regulation, and Compliance, Agentic Workflows, Discussion Facilitation, Regulatory Requirements, Regulatory Compliance, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, SAS (Software), Analytics, Machine Learning
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Manipulation, Data Access, Data Import/Export, SAS (Software), Microsoft Excel, Data Analysis, Statistical Programming, Data Preprocessing, Debugging
★ 4.8 (140) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Recurrent Neural Networks (RNNs), Feature Engineering, Statistical Analysis, Data Analysis, Digital Signal Processing, Statistical Methods, Advanced Analytics, Regression Analysis, Data Transformation, Exploratory Data Analysis, Machine Learning Methods, Predictive Modeling, Applied Machine Learning, Data Mining, Data Analysis Software, Predictive Analytics, Model Training
★ 5 (11) · Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: SAS (Software), Data Quality, Data Analysis, Data Analysis Software, Business Analytics, Exploratory Data Analysis, Data Cleansing, Virtual Environment, Interactive Data Visualization, Data Access, Statistical Reporting, Data Transformation, Statistical Programming
★ 4.7 (890) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Disaster Recovery, Star Schema, Business Continuity Planning, Cost Benefit Analysis, Database Design, Business Continuity, Data Infrastructure, Snowflake Schema, Database Architecture and Administration, Relational Databases, Data Warehousing, Data Modeling, Data Architecture, Data Validation, SQL, Terraform, Infrastructure as Code (IaC), Extract, Transform, Load, Business Analytics, Cost Management
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: Trend Analysis, Data Manipulation, Data Analysis, SAS (Software), Analysis, Analytics, Data Visualization, Interactive Data Visualization, Data Visualization Software, Data Presentation, Business Reporting, Graphing, Statistical Programming
★ 4.8 (363) · Mixed · Course · 1 - 4 Weeks
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.‎