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Learning SAS

Data Types, Naming Conventions, and Resources

Afia Owusu-Forfie

By the end of this project, you will evaluate data types, apply naming conventions and integrate external resources in your SAS programs.

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What's inside

Syllabus

Project Overview
Welcome to Learning SAS: Data Types, Naming Conventions, and Resources. In this project, you will evaluate data types, apply naming conventions and integrate external resources in your SAS programs. You will learn about data types, correct and incorrect naming conventions, author resources, a long SAS program and running chapter 2.sas.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides comprehensive knowledge and step-by-step guidance on data types, naming conventions, and resource integration in SAS programming, making it suitable for beginners seeking a strong foundation in these areas
Focuses on the practical implementation of SAS programming techniques, equipping learners with hands-on experience in working with data and resources
Taught by industry experts with extensive experience in SAS programming, ensuring the relevance and practical applicability of the course content
Covers essential SAS programming concepts, such as data types, naming conventions, and resource integration, which are widely used in various industries and academic settings
Provides a solid foundation for further exploration and specialization in SAS programming, making it beneficial for learners who wish to pursue advanced SAS skills

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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 Learning SAS: Data Types, Naming Conventions, and Resources with these activities:
SAS Getting Started Tutorial
Review a tutorial on SAS basics to refresh your understanding of data types and naming conventions.
Show steps
  • Access the SAS Getting Started Tutorial.
  • Follow the tutorial step-by-step.
  • Complete the exercises and quizzes within the tutorial.
Review SAS basics
Review the foundational concepts underlying modern SAS programming.
Browse courses on SAS
Show steps
  • Review tutorials and documentation
  • Complete practice drills or exercises
SAS Study Group
Enhance your understanding by collaborating with peers in a study group focused on SAS data types and naming conventions.
Show steps
  • Form a study group with other students.
  • Establish regular meeting times.
  • Discuss course materials, practice exercises, and share insights.
Eight other activities
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Show all 11 activities
Learn to optimize SAS code
Better familiarize yourself with SAS by finding tutorials on how to write and optimize code in SAS.
Browse courses on Optimization
Show steps
  • Identify areas or code in your programs that need optimizing
  • Find tutorials on optimizing SAS code
  • Implement the recommended practices and optimizations
SAS Data Manipulation Exercises
Practice manipulating SAS data through exercises to reinforce your understanding of data types and naming conventions.
Show steps
  • Find practice exercises on SAS data manipulation.
  • Attempt to solve the exercises independently.
  • Review solutions to identify areas for improvement.
SAS Resources Compilation
Gather and organize a collection of useful SAS resources, including documentation, tutorials, and examples, to support your learning.
Show steps
  • Identify and locate relevant SAS resources.
  • Organize the resources into a central repository.
  • Regularly review and update the compilation.
Form a study group
Studying with peers and discussing topics can help you better understand complex concepts and unexpected questions.
Show steps
  • Reach out to other learners
  • Establish regular group meetings at a set time and location
  • Set clear goals for your group sessions
SAS Coding Project
Apply your knowledge of SAS data types and naming conventions by creating a small SAS program that performs data manipulation tasks.
Show steps
  • Identify a data manipulation task to complete.
  • Design the SAS program using appropriate data types and naming conventions.
  • Test and debug the SAS program.
Create a SAS programming project
Putting SAS into practice and working on a project will deepen your mastery of SAS fundamentals.
Browse courses on SAS
Show steps
  • Choose a topic or problem to solve
  • Design and plan your project
  • Implement your project in SAS
  • Document and present your project
SAS Project: Data Analysis and Visualization
Deepen your understanding of SAS by embarking on a project that involves data analysis and visualization, incorporating data types and naming conventions.
Show steps
  • Define the project goals and objectives.
  • Collect and prepare the necessary data.
  • Analyze the data using SAS procedures and functions.
  • Create visualizations to present the results.
Organize your notes
Keeping organized will help you to better retain your course materials and resources.
Show steps
  • Review your notes and assignments
  • Organize the materials by module
  • Digitize materials for easy access

Career center

Learners who complete Learning SAS: Data Types, Naming Conventions, and Resources will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts use their skills in data wrangling, analysis, and visualization to find patterns and insights in data. This course can help you develop the skills to become a successful Data Analyst. Course participants learn how to evaluate data types, apply naming conventions, and integrate external resources in their SAS programs. These skills will help you to become more efficient and productive in your work as a Data Analyst.
Data Scientist
Data Scientists use their skills in data mining, machine learning, and big data to solve business problems. This course can help you develop the skills to become a successful Data Scientist. Course participants learn how to evaluate data types, apply naming conventions, and integrate external resources in their SAS programs. These skills are essential for Data Scientists who need to work with large and complex datasets.
Statistician
Statisticians use their skills in data collection, analysis, and interpretation to solve problems. This course can help you develop the skills to become a successful Statistician. Course participants learn how to evaluate data types, apply naming conventions, and integrate external resources in their SAS programs. These skills are essential for Statisticians who need to work with large and complex datasets.
Business Analyst
Business Analysts use their skills in data analysis, process improvement, and communication to help businesses make better decisions. This course can help you develop the skills to become a successful Business Analyst. Course participants learn how to evaluate data types, apply naming conventions, and integrate external resources in their SAS programs. These skills are essential for Business Analysts who need to communicate complex data to business stakeholders.
Market Researcher
Market Researchers use their skills in data collection, analysis, and interpretation to understand consumer behavior. This course can help you develop the skills to become a successful Market Researcher. Course participants learn how to evaluate data types, apply naming conventions, and integrate external resources in their SAS programs. These skills are essential for Market Researchers who need to work with large and complex datasets.
Financial Analyst
Financial Analysts use their skills in data analysis, modeling, and valuation to make investment decisions. This course can help you develop the skills to become a successful Financial Analyst. Course participants learn how to evaluate data types, apply naming conventions, and integrate external resources in their SAS programs. These skills are essential for Financial Analysts who need to work with large and complex datasets.
Operations Research Analyst
Operations Research Analysts use their skills in data analysis, optimization, and simulation to solve business problems. This course can help you develop the skills to become a successful Operations Research Analyst. Course participants learn how to evaluate data types, apply naming conventions, and integrate external resources in their SAS programs. These skills are essential for Operations Research Analysts who need to work with large and complex datasets.
Software Engineer
Software Engineers use their skills in programming, design, and testing to develop software applications. This course can help you develop the skills to become a successful Software Engineer. Course participants learn how to evaluate data types, apply naming conventions, and integrate external resources in their SAS programs. These skills are essential for Software Engineers who need to work with large and complex datasets.
Database Administrator
Database Administrators use their skills in database design, implementation, and administration to manage databases. This course can help you develop the skills to become a successful Database Administrator. Course participants learn how to evaluate data types, apply naming conventions, and integrate external resources in their SAS programs. These skills are essential for Database Administrators who need to work with large and complex databases.
Systems Analyst
Systems Analysts use their skills in systems analysis, design, and implementation to develop and improve business systems. This course can help you develop the skills to become a successful Systems Analyst. Course participants learn how to evaluate data types, apply naming conventions, and integrate external resources in their SAS programs. These skills are essential for Systems Analysts who need to work with large and complex systems.
Information Security Analyst
Information Security Analysts use their skills in security analysis, risk assessment, and incident response to protect information systems. This course can help you develop the skills to become a successful Information Security Analyst. Course participants learn how to evaluate data types, apply naming conventions, and integrate external resources in their SAS programs. These skills are essential for Information Security Analysts who need to work with large and complex datasets.
Computer Network Architect
Computer Network Architects use their skills in network design, implementation, and management to develop and improve computer networks. This course can help you develop the skills to become a successful Computer Network Architect. Course participants learn how to evaluate data types, apply naming conventions, and integrate external resources in their SAS programs. These skills are essential for Computer Network Architects who need to work with large and complex networks.
Data Architect
Data Architects use their skills in data modeling, data integration, and data governance to design and implement data architectures. This course can help you develop the skills to become a successful Data Architect. Course participants learn how to evaluate data types, apply naming conventions, and integrate external resources in their SAS programs. These skills are essential for Data Architects who need to work with large and complex datasets.
Business Intelligence Analyst
Business Intelligence Analysts use their skills in data analysis, data visualization, and reporting to help businesses make better decisions. This course can help you develop the skills to become a successful Business Intelligence Analyst. Course participants learn how to evaluate data types, apply naming conventions, and integrate external resources in their SAS programs. These skills are essential for Business Intelligence Analysts who need to work with large and complex datasets.
Health Data Analyst
Health Data Analysts use their skills in data analysis, data visualization, and reporting to help healthcare providers improve patient care. This course can help you develop the skills to become a successful Health Data Analyst. Course participants learn how to evaluate data types, apply naming conventions, and integrate external resources in their SAS programs. These skills are essential for Health Data Analysts who need to work with large and complex datasets.

Reading list

We've selected six 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 Learning SAS: Data Types, Naming Conventions, and Resources.
Great starting point for R users who are new to SAS. It covers the basics of SAS programming, including data types, naming conventions, and resources.
Is the official user guide for SAS. It provides detailed information on how to use SAS, from installing the software to running SAS programs.
Good choice for beginners who want to learn SAS quickly and easily. It covers the basics of SAS, with a focus on data manipulation and analysis. It is also a good choice for people who want to brush up on their SAS skills.
Good choice for beginners who want to learn SAS for data analysis. It covers the basics of SAS, with a focus on data manipulation and analysis. It is also a good choice for people who want to brush up on their SAS skills.
Provides a concise introduction to SAS programming, with a focus on data management and analysis. It good choice for beginners who want to learn SAS quickly and easily.
Beginner-friendly guide to SAS programming. It covers all the basics, in a clear and concise way.

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