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Afia Owusu-Forfie
By the end of this project, you will be able to input raw data into SAS by applying the Formatted Input as well as embed raw data directly into SAS via the DATALINES statement.
Register for this course and see more details by visiting:
OpenCourser.com/course/plds3s/learning
What's inside
Syllabus
Project Overview
Welcome to Learning SAS: Reading Raw Data from Fixed Columns. In this project, you will place 'datalines' directly into your program and specify 'infile' options with 'dataline' statements, read raw data from fixed columns using the column input and formatted input methods and apply named inputs.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces hands-on programming in SAS, building a foundation for learners
Develops foundational skills in manipulating data using SAS
Applies structured methodology to data analysis, a valuable skill in industry
Provides a step-by-step approach suitable for beginners
Lacks coverage of advanced SAS topics
May require additional resources for learners with no prior programming experience
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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: Reading Raw Data from Fixed Columns with these
activities:
Write a Blog Post about SAS
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Choose a topic related to SAS that you are knowledgeable about.
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Research and gather information on the topic.
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Write a clear and concise blog post that explains the topic in detail.
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Publish your blog post online and share it with others.
Show all one activities
Write a Blog Post about SAS
Show steps
Writing a blog post will help you synthesize your understanding of SAS and share your knowledge with others.
Browse courses on
SAS Programming
Show steps
Show steps
Show steps
- Choose a topic related to SAS that you are knowledgeable about.
- Research and gather information on the topic.
- Write a clear and concise blog post that explains the topic in detail.
- Publish your blog post online and share it with others.
Show all one activities
Career center
Learners who complete Learning SAS: Reading Raw Data from Fixed Columns will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts aggregate raw data from a variety of sources, transforming it into a usable format for researchers and other professionals. They apply advanced statistical techniques to find trends and patterns in the data, and present their findings in a clear and concise manner. This course, 'Learning SAS: Reading Raw Data from Fixed Columns,' provides a strong foundation in reading and interpreting raw data, which is a critical skill for Data Analysts. By completing this course, learners will gain the knowledge and skills needed to succeed in this in-demand field.
Data Scientist
Data Scientist
Data Scientists use a combination of mathematics, statistics, and computer science to extract insights from data. They build machine learning models to predict outcomes, and develop algorithms to automate data analysis tasks. This course, 'Learning SAS: Reading Raw Data from Fixed Columns,' provides a strong foundation in reading and interpreting raw data, which is a critical skill for Data Scientists. By completing this course, learners will gain the knowledge and skills needed to succeed in this rapidly growing field.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to provide insights for researchers and policymakers. They use statistical methods to design experiments, conduct surveys, and analyze data. This course, 'Learning SAS: Reading Raw Data from Fixed Columns,' provides a strong foundation in reading and interpreting raw data, which is a critical skill for Statisticians. By completing this course, learners will gain the knowledge and skills needed to succeed in this in-demand field.
Business Analyst
Business Analyst
Business Analysts use data to solve business problems and improve decision-making. They gather data from a variety of sources, analyze it, and present their findings to stakeholders. This course, 'Learning SAS: Reading Raw Data from Fixed Columns,' provides a strong foundation in reading and interpreting raw data, which is a critical skill for Business Analysts. By completing this course, learners will gain the knowledge and skills needed to succeed in this in-demand field.
Data Engineer
Data Engineer
Data Engineers build and maintain the infrastructure that stores and processes data. They design and implement data pipelines, and work with other engineers to develop data-driven applications. This course, 'Learning SAS: Reading Raw Data from Fixed Columns,' provides a strong foundation in reading and interpreting raw data, which is a critical skill for Data Engineers. By completing this course, learners will gain the knowledge and skills needed to succeed in this in-demand field.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists create visual representations of data to help others understand complex information. They use a variety of software tools to create charts, graphs, and other visuals. This course, 'Learning SAS: Reading Raw Data from Fixed Columns,' provides a strong foundation in reading and interpreting raw data, which is a critical skill for Data Visualization Specialists. By completing this course, learners will gain the knowledge and skills needed to succeed in this in-demand field.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical methods to analyze financial data. They develop models to predict future prices and make investment decisions. This course, 'Learning SAS: Reading Raw Data from Fixed Columns,' provides a strong foundation in reading and interpreting raw data, which is a critical skill for Quantitative Analysts. By completing this course, learners will gain the knowledge and skills needed to succeed in this in-demand field.
Actuary
Actuary
Actuaries use data to assess risk and uncertainty. They develop mathematical models to calculate the probability of future events, such as death, disability, or property damage. This course, 'Learning SAS: Reading Raw Data from Fixed Columns,' provides a strong foundation in reading and interpreting raw data, which is a critical skill for Actuaries. By completing this course, learners will gain the knowledge and skills needed to succeed in this in-demand field.
Biostatistician
Biostatistician
Biostatisticians use statistical methods to analyze biological data. They design studies, conduct research, and develop models to understand the causes and treatment of disease. This course, 'Learning SAS: Reading Raw Data from Fixed Columns,' provides a strong foundation in reading and interpreting raw data, which is a critical skill for Biostatisticians. By completing this course, learners will gain the knowledge and skills needed to succeed in this in-demand field.
Market Research Analyst
Market Research Analyst
Market Research Analysts collect, analyze, and interpret data to help businesses understand their customers. They use a variety of methods to gather data, including surveys, interviews, and focus groups. This course, 'Learning SAS: Reading Raw Data from Fixed Columns,' provides a strong foundation in reading and interpreting raw data, which is a critical skill for Market Research Analysts. By completing this course, learners will gain the knowledge and skills needed to succeed in this in-demand field.
Financial Analyst
Financial Analyst
Financial Analysts use data to make investment decisions. They analyze financial statements, conduct research, and develop models to forecast future performance. This course, 'Learning SAS: Reading Raw Data from Fixed Columns,' provides a strong foundation in reading and interpreting raw data, which is a critical skill for Financial Analysts. By completing this course, learners will gain the knowledge and skills needed to succeed in this in-demand field.
Risk Manager
Risk Manager
Risk Managers identify and assess risks that could impact an organization. They develop and implement strategies to mitigate these risks. This course, 'Learning SAS: Reading Raw Data from Fixed Columns,' provides a strong foundation in reading and interpreting raw data, which is a critical skill for Risk Managers. By completing this course, learners will gain the knowledge and skills needed to succeed in this in-demand field.
Epidemiologist
Epidemiologist
Epidemiologists investigate the causes and spread of disease. They collect and analyze data to identify risk factors and develop prevention strategies. This course, 'Learning SAS: Reading Raw Data from Fixed Columns,' provides a strong foundation in reading and interpreting raw data, which is a critical skill for Epidemiologists. By completing this course, learners will gain the knowledge and skills needed to succeed in this in-demand field.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical models to solve problems in business and industry. They design and implement solutions to improve efficiency and productivity. This course, 'Learning SAS: Reading Raw Data from Fixed Columns,' provides a strong foundation in reading and interpreting raw data, which is a critical skill for Operations Research Analysts. By completing this course, learners will gain the knowledge and skills needed to succeed in this in-demand field.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with other engineers to develop and implement new features, and ensure that software is working properly. This course, 'Learning SAS: Reading Raw Data from Fixed Columns,' provides a strong foundation in reading and interpreting raw data, which is a critical skill for Software Engineers. By completing this course, learners will gain the knowledge and skills needed to succeed in this in-demand field.
For more career information including salaries, visit:
OpenCourser.com/course/plds3s/learning
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: Reading Raw Data from Fixed Columns.
Provides a comprehensive overview of SAS statistical procedures, covering a wide range of statistical methods. It would be a valuable resource for learners who need to develop their skills in these areas.
Provides a comprehensive overview of the SAS System for Mixed Models, which is used to analyze data with complex structures. It would be a valuable resource for learners who need to develop their skills in this area.
Save
Provides a comprehensive overview of SAS data manipulation techniques, covering data import, cleaning, and transformation. It would be a valuable resource for learners who need to develop their skills in these areas.
Provides a comprehensive overview of SAS programming in the pharmaceutical industry, covering data management, statistical analysis, and reporting. It would be a valuable resource for learners who work in the pharmaceutical industry.
Provides a hands-on approach to learning SAS, with numerous examples and exercises. It would be a good choice for learners who prefer a practical approach to learning.
Save
Provides a concise introduction to SAS, covering the basics of data manipulation, analysis, and visualization. It would be a helpful resource for learners who are new to SAS.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/plds3s/learning
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Effort
1.05 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Afia Owusu-Forfie
Language
English
Good to know
Introduces hands-on programming in SAS, building a foundation for learners
Develops foundational skills in manipulating data using SAS
Applies structured methodology to data analysis, a valuable skill in industry
Provides a step-by-step approach suitable for beginners
Lacks coverage of advanced SAS topics
May require additional resources for learners with no prior programming experience
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