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Stacey Syphus

In this course, you learn advanced techniques within the DATA step and procedures to manipulate data.

Course Learning Objectives: (3+ per course)

“By the end of this course, a learner will be able to…”

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In this course, you learn advanced techniques within the DATA step and procedures to manipulate data.

Course Learning Objectives: (3+ per course)

“By the end of this course, a learner will be able to…”

● Perform text substitution in SAS code.

● Use macro variables and macro functions.

● Automate and customize the production of SAS code.

● Conditionally or iteratively construct SAS code.

● Write self-modifying, data-driven programs.

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What's inside

Syllabus

Introduction
In this module you'll get an overview of this course and set up your practice files. Then you'll explore macro programming and learn what the macro facility will enable you to do and why it can make your job as a SAS programmer easier.
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SAS Macro Facility
In this module, you learn how SAS processes code behind the scenes. This is important because mastering the SAS macro facility is only possible if you understand how macro language elements impact this processing. You also learn how to create and use macro variables to dynamically modify text in a program.
Storing and Processing Text
In this module, you learn more about storing and processing text. You learn to use macro functions to manipulate text, and how to use both PROC SQL and the DATA step to create macro variables based on values read from your data. You also learn how to use indirect referencing to look up a macro variable's value based on another macro variable.
Working with Macro Programs
In this module, you learn to write and call macro programs to generate SAS code based on input values. You also learn about macro variable scope - where macro variables are stored and how long they are available. Finally you learn about conditionally generating and processing code using macro IF/THEN statements, and iterative processing with macro DO loops.
Developing Macro Applications
In this module you learn how to store and retrieve macros so they are available in any SAS session. You also learn to build data-driven macro applications that dynamically generate SAS code based on values in your data. Finally, you learn to build safety precautions and documentation into your macro applications so that they correct themselves if problems occur, or provide helpful messages to direct the user to a resolution.
Case Study (Honors) and Certification Practice Exam
In this case study, you solve a real-world business problem by applying concepts that you learned in this course.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Covers advanced SAS programming techniques, including text manipulation, macro functions, and macro programs
Taught by experienced instructors Stacey Syphus
Suitable for learners with experience in SAS programming who want to enhance their skills
Provides hands-on practice through exercises and a case study
May require additional learning resources for learners with limited experience in SAS programming
Course materials and software may not be included, which may incur additional costs

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Reviews summary

Positive macro guide

Learners say this SAS course is well-received and helpful. Students praise the course structure, examples, and exercises for helping them understand and improve their macro skills. Instructors are considered both knowledgeable and supportive.
The instructors are helpful and knowledgeable.
""Thank you Stacey for your training with practical examples. ""
""I am really thankful to the instructor for guiding macro trainings in such a way. After this course, I can able to write macro by my own.""
""all you have to do is to ask your question and you will get a reply promptly.""
Learners consider this a great course.
""Very great course. I've learnt a lot of new things about macros.""
""THANK YOU VERY MUCH DAER COURSERA AND SAS TEAM""
""This is a very good course. It's challenging, but very satisfying.""
Many positive examples are given.
""N​ice course, good examples""
""Very useful, I finally understood what it was all about! ""
""Another great course from SAS and Coursera. My macro skills are now quite a bit better than they were prior to the course. Great focus on using macros in iterative processing. ""

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 SAS Macro Language with these activities:
Review basic SAS programming concepts
Refresh your memory on the fundamentals of SAS programming to prepare for advanced macro programming.
Browse courses on SAS Programming
Show steps
  • Review your notes or textbooks on basic SAS programming.
  • Complete practice exercises to reinforce your understanding.
Compile a repository of SAS macro functions
Organize and curate a collection of useful SAS macro functions for future reference.
Show steps
  • Search for SAS macro functions online or in textbooks.
  • Test and evaluate the macro functions.
  • Store the functions in a central repository.
Follow tutorials on advanced SAS macro programming
Expand your knowledge of SAS macro programming by exploring tutorials and online resources.
Show steps
  • Search for tutorials on advanced SAS macro programming.
  • Follow the tutorials and practice the techniques.
  • Apply the new knowledge to your own SAS programs.
Two other activities
Expand to see all activities and additional details
Show all five activities
Practice writing macro code
Reinforce your understanding of macro programming syntax and semantics through repetitive practice.
Browse courses on Macro Variables
Show steps
  • Identify a simple task that can be automated using a macro.
  • Write the macro code to perform the task.
  • Test the macro code and debug any errors.
Create a blog post or article on SAS macro programming
Demonstrate your understanding of macro programming by sharing your knowledge with others.
Show steps
  • Choose a topic related to SAS macro programming.
  • Research and gather information.
  • Write the blog post or article.
  • Publish your work online.

Career center

Learners who complete SAS Macro Language will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to extract meaningful insights. They use their findings to help businesses make better decisions. The SAS Macro Language course can help you develop the skills you need to be a successful Data Analyst. You will learn how to use SAS to manipulate data, create visualizations, and generate reports. This course will also help you build a strong foundation in data analysis concepts.
Business Analyst
Business Analysts help businesses improve their performance by identifying and solving problems. They use data analysis to identify trends, patterns, and opportunities. The SAS Macro Language course can help you develop the skills you need to be a successful Business Analyst. You will learn how to use SAS to analyze data, create visualizations, and generate reports. This course will also help you build a strong foundation in business analysis concepts.
Statistician
Statisticians collect, analyze, and interpret data to help businesses and organizations make informed decisions. They use statistical methods to identify trends, patterns, and relationships in data. The SAS Macro Language course can help you develop the skills you need to be a successful Statistician. You will learn how to use SAS to perform statistical analysis, create visualizations, and generate reports. This course will also help you build a strong foundation in statistical concepts.
Market Researcher
Market Researchers collect and analyze data to help businesses understand their customers and markets. They use this information to develop marketing strategies and campaigns. The SAS Macro Language course can help you develop the skills you need to be a successful Market Researcher. You will learn how to use SAS to analyze data, create visualizations, and generate reports. This course will also help you build a strong foundation in market research concepts.
Data Scientist
Data Scientists use data to solve complex problems and drive business decisions. They use a variety of techniques, including data analysis, machine learning, and artificial intelligence. The SAS Macro Language course can help you develop the skills you need to be a successful Data Scientist. You will learn how to use SAS to manipulate data, create visualizations, and generate reports. This course will also help you build a strong foundation in data science concepts.
Software Engineer
Software Engineers design, develop, and maintain software applications. They use their knowledge of programming languages and software development tools to create software that meets the needs of users. The SAS Macro Language course can help you develop the skills you need to be a successful Software Engineer. You will learn how to use SAS to manipulate data, create visualizations, and generate reports. This course will also help you build a strong foundation in software engineering concepts.
Database Administrator
Database Administrators are responsible for managing and maintaining databases. They ensure that databases are running smoothly and that data is secure. The SAS Macro Language course can help you develop the skills you need to be a successful Database Administrator. You will learn how to use SAS to create and manage databases, and how to perform data analysis and reporting. This course will also help you build a strong foundation in database administration concepts.
IT Manager
IT Managers are responsible for planning, implementing, and managing IT systems and services. They ensure that IT systems are aligned with business goals and that they are running smoothly. The SAS Macro Language course can help you develop the skills you need to be a successful IT Manager. You will learn how to use SAS to analyze data, create visualizations, and generate reports. This course will also help you build a strong foundation in IT management concepts.
Project Manager
Project Managers are responsible for planning, executing, and closing projects. They ensure that projects are completed on time, within budget, and to the required quality standards. The SAS Macro Language course can help you develop the skills you need to be a successful Project Manager. You will learn how to use SAS to track project progress, create visualizations, and generate reports. This course will also help you build a strong foundation in project management concepts.
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. They use data analysis techniques to identify trends, patterns, and opportunities. The SAS Macro Language course can help you develop the skills you need to be a successful Business Intelligence Analyst. You will learn how to use SAS to analyze data, create visualizations, and generate reports. This course will also help you build a strong foundation in business intelligence concepts.
Data Engineer
Data Engineers design, build, and maintain data pipelines. They ensure that data is clean, consistent, and accessible to users. The SAS Macro Language course can help you develop the skills you need to be a successful Data Engineer. You will learn how to use SAS to manipulate data, create visualizations, and generate reports. This course will also help you build a strong foundation in data engineering concepts.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical methods to analyze data and make predictions. They use their findings to help businesses make investment decisions. The SAS Macro Language course can help you develop the skills you need to be a successful Quantitative Analyst. You will learn how to use SAS to perform statistical analysis, create visualizations, and generate reports. This course will also help you build a strong foundation in quantitative analysis concepts.
Risk Analyst
Risk Analysts identify and assess risks to businesses. They use data analysis techniques to quantify risks and develop mitigation plans. The SAS Macro Language course can help you develop the skills you need to be a successful Risk Analyst. You will learn how to use SAS to analyze data, create visualizations, and generate reports. This course will also help you build a strong foundation in risk analysis concepts.
Actuary
Actuaries use mathematical and statistical methods to assess risks and make financial decisions. They use their findings to help insurance companies and other financial institutions price products and manage risk. The SAS Macro Language course may be useful as it can help you develop the skills you need to analyze data and create visualizations. This course will also help you build a strong foundation in actuarial concepts.
Financial Analyst
Financial Analysts use data analysis techniques to evaluate and make recommendations on investments. They use their findings to help individuals and businesses make informed financial decisions. The SAS Macro Language course may be useful as it can help you develop the skills you need to analyze data and create visualizations. This course will also help you build a strong foundation in financial analysis concepts.

Reading list

We've selected 14 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 SAS Macro Language.
Provides a comprehensive overview of SAS macro programming, covering both the basics and more advanced techniques. It is written in a clear and concise style, making it easy to follow and understand.
Great introduction to SAS programming, covering the basics of data manipulation, analysis, and reporting. It is written in a friendly and approachable style, making it a good choice for beginners.
Guide to using SAS for statistical programming. It covers the basics of statistical programming, as well as how to use SAS to perform statistical analysis.
Provides a comprehensive overview of data science. It covers all aspects of data science, from data collection and preparation to data analysis and visualization. The book is an excellent resource for both new and experienced data scientists who want to learn more about the field.
Provides a comprehensive introduction to Python for data analysis. It covers all aspects of data analysis with Python, from data exploration and visualization to data modeling and machine learning. The book is an excellent resource for both new and experienced data scientists who want to learn more about Python.
Provides a comprehensive overview of statistical learning. It covers all aspects of statistical learning, from data exploration and visualization to model selection and evaluation. The book is an excellent resource for both new and experienced statisticians who want to learn more about the field.
Provides a comprehensive overview of applied predictive modeling. It covers all aspects of predictive modeling, from data preparation and exploration to model building and evaluation. The book is an excellent resource for both new and experienced data scientists who want to learn more about predictive modeling.
Provides a comprehensive introduction to machine learning with Python. It covers all aspects of machine learning, from data preparation and feature engineering to model training and evaluation. The book is an excellent resource for both new and experienced data scientists who want to learn more about machine learning.
Provides a comprehensive overview of deep learning with Python. It covers all aspects of deep learning, from the basics of neural networks to advanced topics such as convolutional neural networks and recurrent neural networks. The book is an excellent resource for both new and experienced deep learning practitioners who want to learn more about the field.
Provides a comprehensive overview of reinforcement learning. It covers all aspects of reinforcement learning, from the basics of Markov decision processes to advanced topics such as deep reinforcement learning. The book is an excellent resource for both new and experienced reinforcement learning practitioners who want to learn more about the field.
Provides a comprehensive overview of natural language processing with Python. It covers all aspects of natural language processing, from the basics of natural language processing to advanced topics such as machine translation and natural language generation. The book is an excellent resource for both new and experienced natural language processing practitioners who want to learn more about the field.

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