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Stacey Syphus

This course is for users who want to learn how to write SAS programs to access, explore, prepare, and analyze data. It is the entry point to learning SAS programming for data science, machine learning, and artificial intelligence. It is a prerequisite to many other SAS courses.

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This course is for users who want to learn how to write SAS programs to access, explore, prepare, and analyze data. It is the entry point to learning SAS programming for data science, machine learning, and artificial intelligence. It is a prerequisite to many other SAS courses.

By the end of this course, you will know how to use SAS Studio to write and submit SAS programs that access SAS, Microsoft Excel, and text data. You will know how to explore and validate data, prepare data by subsetting rows and computing new columns, analyze and report on data, export data and results to other formats, use SQL in SAS to query and join tables.

Prerequisites:

Learners should have experience using computer software. Specifically, you should be able to understand file structures and system commands on your operating systems and access data files on your operating systems. No prior SAS experience is needed.

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What's inside

Syllabus

Course Overview and Data Setup
In this module you learn about the course and you set up the data you need to do the practices in the course.
Essentials
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In this module you learn how to use SAS programming tools and the fundamentals of SAS program structure and syntax.
Accessing Data
In this module, you learn to identify the features of a SAS table, access data through SAS libraries, and import data into SAS.
Exploring and Validating Data
In this module, you learn to use SAS procedures that provide insights about your data. You also learn to subset data so you can focus on particular segments, format data so you can easily understand it, and sort data to identify and resolve duplicate values.
Preparing Data
In this module, you learn how to do some common data manipulations, such as filtering rows and columns, computing new columns, and performing conditional processing.
Analyzing and Reporting on Data
In this module, we concentrate on summarizing data by using the SAS procedures that we touched on for data exploration. You also learn how to use titles, column labels, footnotes, and macro variables to enhance your reports and make them more meaningful.
Exporting Results
In this module, you learn to export SAS tables and results to Excel, Microsoft Word, and PDF files.
Using SQL in SAS
In this module, you learn to use the SQL procedure to read and filter data. You also learn to create and join tables by using SQL.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Covers the fundamentals of SAS programming for data science, machine learning, and artificial intelligence
Introduces SAS Studio, a user-friendly interface for writing and submitting SAS programs
Provides hands-on practice through exercises and assignments
Covers a comprehensive range of topics, from data exploration and preparation to analysis and reporting
Facilitates data exploration and validation to gain insights into the data
Teaches data preparation techniques, such as subsetting, computing new columns, and conditional processing

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Reviews summary

Beginner-friendly sas programming

Learners say this course in SAS programming is largely positive, providing a great introduction to the basics of SAS with engaging assignments, clear explanations, and thorough demonstrations. It covers topics like reading and analyzing data, data preparation, and generating reports. While the course is aimed at beginners with no prior programming experience, it's also suitable for those who want to refresh their SAS skills. The hands-on activities, quizzes, and practical exercises help learners solidify their understanding of SAS concepts and develop practical skills.
Structured for beginners, with bite-sized modules and clear explanations, making it easy to follow and understand SAS programming concepts.
"Well-organized and appropriately challenging for me."
"Divided into easily digestible, bite-sized pieces that make it easy to fit into your schedule."
Explanations of SAS concepts are clear, concise, and easy to follow, making it accessible for learners with no programming background.
"Easy to understand, and great demos."
"Wonderful introduction to SAS. I already have working experience with it, but lacked the foundations. Now that I know them, I feel like - eureka! - I should have done that (work task) like this."
Incorporates numerous hands-on activities, demos, and quizzes to reinforce learning and provide opportunities to apply SAS concepts in practice.
"Great course on SAS. I would highly recommend it, It wont take much time to finish but just like any programming language one requires lots of practice for syntax to stick, I took detailed notes and it helped me a lot for my own projects."
Covers a wide range of SAS topics, including data manipulation, analysis, and reporting, providing a well-rounded introduction to the software's capabilities.
"Excellent! This class was super well constructed with great activities and demos in SAS Studio. The instructor was wonderful at explaining everything as well. I learned a lot and really enjoyed it."
Designed specifically for beginners with no prior SAS or programming experience, providing a solid foundation in the fundamentals of SAS programming.
"This was an excellent introduction to SAS programming. All presentations and exercises were very well thought out and executed. I highly recommend this course to anyone looking to learn SAS."
"This is a great course for learning the basics of SAS programming. They also explain how you can download the software for free, which is great! It is definitely worth it!"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Getting Started with SAS Programming with these activities:
Review Concepts of Statistics
Brush up on statistical concepts to strengthen your foundation and prepare for advanced topics.
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Show steps
  • Read introductory materials on statistics.
  • Revisit textbooks or notes from previous statistics courses.
  • Practice solving basic statistical problems.
Join a SAS Study Group
Engage in peer learning and discussions to clarify concepts, share knowledge, and support each other's progress.
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  • Find or create a study group with fellow SAS learners.
  • Meet regularly to discuss course material, solve problems together, and share resources.
  • Provide feedback and support to group members to enhance collective understanding.
Complete SAS Tutorials
Strengthen your practical skills by working through guided tutorials that cover SAS programming basics.
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  • Find reputable SAS tutorials online or through platforms like Coursera.
  • Follow the tutorials step-by-step, practicing the techniques introduced.
  • Experiment with the SAS code and try variations to deepen your understanding.
Five other activities
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Show all eight activities
Solve SAS Coding Challenges
Test your SAS skills and identify areas for improvement by tackling coding challenges.
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  • Find online resources or platforms that provide SAS coding challenges.
  • Attempt to solve the challenges, focusing on implementing efficient and accurate code.
  • Review solutions and compare your approach to identify areas for improvement.
Mentor Beginner SAS Learners
Enhance your understanding by sharing your knowledge and guiding beginner SAS learners.
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  • Connect with beginner SAS learners through online forums or study groups.
  • Provide guidance on SAS concepts, syntax, and best practices.
  • Review their code and offer suggestions for improvement.
  • Encourage their progress and help them overcome challenges.
Participate in SAS Hackathons
Challenge yourself and test your SAS skills against other participants by joining SAS hackathons.
Browse courses on SAS Programming
Show steps
  • Find and register for SAS hackathons that align with your interests and skill level.
  • Team up with other SAS enthusiasts or participate individually.
  • Solve complex SAS challenges within a time-bound setting.
  • Receive feedback from industry experts and hone your problem-solving abilities.
Build a SAS Project Portfolio
Demonstrate your proficiency by creating a portfolio of SAS projects that showcase your skills and capabilities.
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Show steps
  • Identify a problem or dataset that you can analyze using SAS.
  • Develop a plan for your project, including data preparation, analysis, and reporting.
  • Write SAS code to implement your plan and generate meaningful insights.
  • Create a professional presentation or report to showcase your findings.
Contribute to Open-Source SAS Projects
Gain practical experience and contribute to the SAS community by participating in open-source projects.
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  • Identify open-source SAS projects that align with your interests and skills.
  • Reach out to project maintainers and express your interest in contributing.
  • Review project documentation and contribute code, bug fixes, or enhancements.
  • Participate in project discussions and help support the community.

Career center

Learners who complete Getting Started with SAS Programming will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts use their knowledge of data, programming, and statistics to transform raw data into actionable insights. They work with various data sources, including structured and unstructured data, to identify trends, patterns, and anomalies. By taking the Getting Started with SAS Programming course, you will gain the essential skills in data access, exploration, and analysis, which are highly sought after by employers in this field. The course will provide you with a solid foundation in SAS, a powerful programming language widely used in data analysis, enabling you to efficiently manipulate and analyze large datasets.
Data Scientist
Data Scientists are responsible for developing and implementing data-driven solutions to solve business problems. They use their expertise in statistics, machine learning, and programming to extract insights from large and complex datasets. The Getting Started with SAS Programming course provides a strong foundation for aspiring Data Scientists by introducing them to the fundamentals of data programming, data exploration, and data analysis using SAS. The course covers essential concepts such as data import, data cleaning, data manipulation, and data visualization, which are crucial for success in this role.
Statistician
Statisticians use their knowledge of statistics and data analysis to collect, interpret, and present data to help organizations make informed decisions. They work in various industries, including healthcare, finance, and research. The Getting Started with SAS Programming course provides a valuable introduction to the SAS programming language, which is widely used by Statisticians for data management, analysis, and reporting. By taking this course, you will gain practical experience in data exploration, data manipulation, and statistical analysis, enhancing your skills and making you a more competitive candidate in this field.
Business Analyst
Business Analysts use data to identify and solve business problems. They work closely with stakeholders to understand their needs and develop data-driven solutions. The Getting Started with SAS Programming course can be beneficial for Business Analysts as it provides a foundation in data programming, data analysis, and data visualization. By learning SAS, you will be able to effectively analyze data, identify trends, and communicate insights to stakeholders, enhancing your ability to contribute to data-driven decision-making.
Market Researcher
Market Researchers collect, analyze, and interpret data to understand market trends and consumer behavior. They use this information to help businesses make informed decisions about product development, marketing strategies, and target audience. The Getting Started with SAS Programming course can be useful for Market Researchers as it provides an introduction to data programming, data analysis, and data visualization. By learning SAS, you will be able to efficiently analyze market data, identify trends, and generate insights that can inform marketing campaigns and business decisions.
Financial Analyst
Financial Analysts use financial data to evaluate and make investment recommendations. They work with companies, individuals, and institutions to provide insights into financial markets and investment opportunities. The Getting Started with SAS Programming course may be helpful for Financial Analysts as it provides an introduction to data programming and data analysis using SAS. By learning SAS, you will be able to analyze financial data, identify trends, and develop financial models, enhancing your ability to make informed investment decisions.
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve complex problems in business and industry. They work with organizations to improve efficiency, productivity, and decision-making. The Getting Started with SAS Programming course can be beneficial for Operations Research Analysts as it provides a foundation in data programming and data analysis. By learning SAS, you will be able to analyze data, develop models, and optimize processes, enhancing your ability to identify and solve operational challenges.
Software Engineer
Software Engineers design, develop, and maintain software systems. They work in various industries, including technology, healthcare, and finance. The Getting Started with SAS Programming course may be useful for Software Engineers who want to expand their skills in data programming and analysis. By learning SAS, you will be able to develop and implement data-driven solutions, enhancing your ability to contribute to the development of software products and applications.
Database Administrator
Database Administrators manage and maintain databases to ensure data integrity and availability. They work with organizations to implement and optimize database systems. The Getting Started with SAS Programming course may be helpful for Database Administrators who want to gain experience in data programming and analysis using SAS. By learning SAS, you will be able to access, manipulate, and analyze data in databases, enhancing your ability to manage and maintain database systems effectively.
Data Engineer
Data Engineers design and build data pipelines to move and transform data between different systems. They work with organizations to ensure that data is available, reliable, and secure. The Getting Started with SAS Programming course may be useful for Data Engineers who want to gain experience in data programming and analysis using SAS. By learning SAS, you will be able to develop and implement data pipelines, enhancing your ability to manage and process large volumes of data efficiently.
Web Developer
Web Developers design and develop websites and web applications. They work with organizations to create user-friendly and interactive online experiences. The Getting Started with SAS Programming course may be useful for Web Developers who want to gain experience in data programming and analysis using SAS. By learning SAS, you will be able to integrate data into web applications, enhancing the functionality and user experience of your web development projects.
IT Consultant
IT Consultants provide guidance and support to organizations on their technology needs. They work with clients to assess, design, and implement technology solutions. The Getting Started with SAS Programming course may be useful for IT Consultants who want to gain experience in data programming and analysis using SAS. By learning SAS, you will be able to provide data-driven insights to clients, enhancing your ability to develop and implement effective technology solutions.
Project Manager
Project Managers plan, execute, and deliver projects within an organization. They work with teams to ensure that projects are completed on time, within budget, and to the required quality standards. The Getting Started with SAS Programming course may be useful for Project Managers who want to gain experience in data programming and analysis using SAS. By learning SAS, you will be able to analyze project data, track progress, and identify potential risks, enhancing your ability to manage and deliver projects successfully.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Getting Started with SAS Programming.
Provides an extensive overview of SAS programming, covering data manipulation, analysis, and visualization techniques. It also includes helpful examples and exercises to enhance understanding.
This indispensable reference provides detailed documentation on the SAS procedures used for data manipulation, analysis, and reporting.
This official reference guide provides comprehensive information on SAS SQL, including syntax, functions, and examples.
This comprehensive guide explores various techniques for integrating data from multiple sources using SAS.
This beginner-friendly book introduces the basics of SAS programming, making it a great starting point for those new to the language.
Focuses on data mining techniques using SAS Enterprise Miner, offering valuable insights for those interested in applying machine learning algorithms to real-world data.
This beginner-friendly book offers a step-by-step introduction to SAS programming, making it accessible to those with no prior programming experience.
While not specific to SAS programming, this book provides valuable insights into the ethical and practical aspects of data science, complementing the technical skills covered in the course.
Offers an introduction to Python programming for data analysis, providing a valuable foundation for those interested in exploring alternative programming languages in data science.

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