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Afia Owusu-Forfie
In this 1.04 hour long project-based course, you will be able to read in external files using an input method called list, manipulate Missing values, place the DATALINES keyword in your program as well as INFILE statements and work with a Comma Separated Values (CSV) file.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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What's inside
Syllabus
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Teaches skills in SAS for importing, manipulating, and working with external data files, including CSV files
Suitable for beginners to SAS looking to develop foundational skills in data import and manipulation
Project-based learning approach provides hands-on experience in applying SAS techniques
Taught by experienced instructors in the field of data analytics
May be less relevant for learners with prior experience in data import and manipulation in SAS
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Reviews summary
Sas list input for raw data
According to learners, "Learning SAS: Reading Raw Data with the List Input Method" is a highly effective and concise project-based course, particularly excellent for beginners to SAS. Students praise its clear instruction and practical approach to fundamental data manipulation. Key features like the list input method, DATALINES, INFILE statements, and working with CSV files are well-covered through hands-on projects. While ideal for new users seeking a quick grasp of core concepts, some find it too basic if they possess prior SAS experience, suggesting it serves more as a quick refresher than an in-depth dive.
Effectively covers DATALINES, INFILE statements, and CSV file handling.
"It covers the basics well, especially DATALINES and INFILE statements."
"The focus on CSV files was particularly helpful."
"The segment on INFILE statements was particularly useful."
Delivers specific SAS skills efficiently, focusing on immediate application.
"It's concise and to the point, no fluff."
"Very practical and straightforward."
"A well-structured course that delivers exactly what it promises."
Ideal for those new to SAS, providing a clear and foundational understanding.
"This short course was exactly what I needed to grasp the list input method in SAS. The instructor was clear..."
"Excellent course for beginners! I was struggling with raw data input, but this explained it clearly."
"Perfect for learning the fundamentals of list input. The hands-on project made it easy to follow along."
May be too fundamental for those with prior SAS experience.
"It's okay for an absolute beginner, but if you have any prior experience with SAS, this will feel very basic."
"Found it too basic. I was looking for something more in-depth regarding SAS data steps and complex scenarios."
"While it does cover list input, it's really just the very surface. Not for intermediate users."
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 with the List Input Method with these
activities:
Organize Course Notes and Resources
Show steps
Stay organized by compiling and reviewing course materials, ensuring you have a comprehensive understanding of the topics covered.
Show steps
-
Create a central location to store all course notes, assignments, and resources.
-
Review and summarize key concepts from each lecture or module.
Join a SAS Study Group
Show steps
Collaborate with peers to discuss course concepts, share knowledge, and provide support throughout your learning journey.
Show steps
-
Find or create a study group with other SAS learners.
-
Meet regularly to discuss course materials, practice exercises, and share insights.
-
Provide support and encouragement to fellow group members.
Practice Reading External Files
Show steps
Enhance your proficiency in reading external files into SAS by completing practice exercises.
Show steps
-
Write SAS code to read data from a variety of file formats, such as CSV, Excel, or text files.
-
Handle missing values and other data quality issues encountered while reading external files.
One other activity
Expand to see all activities and additional details
Show all four activities
Build a SAS Program to Analyze External Data
Show steps
Apply your knowledge of reading external files in a practical scenario by creating a SAS program to analyze data from an external source.
Browse courses on
Data Analysis
Show steps
-
Identify a suitable external data source for analysis.
-
Develop a SAS program to read, clean, and analyze the data.
-
Generate insights or reports based on the analysis results.
Organize Course Notes and Resources
Show steps
Stay organized by compiling and reviewing course materials, ensuring you have a comprehensive understanding of the topics covered.
Show steps
Show steps
Show steps
- Create a central location to store all course notes, assignments, and resources.
- Review and summarize key concepts from each lecture or module.
Join a SAS Study Group
Show steps
Collaborate with peers to discuss course concepts, share knowledge, and provide support throughout your learning journey.
Show steps
Show steps
Show steps
- Find or create a study group with other SAS learners.
- Meet regularly to discuss course materials, practice exercises, and share insights.
- Provide support and encouragement to fellow group members.
Practice Reading External Files
Show steps
Enhance your proficiency in reading external files into SAS by completing practice exercises.
Show steps
Show steps
Show steps
- Write SAS code to read data from a variety of file formats, such as CSV, Excel, or text files.
- Handle missing values and other data quality issues encountered while reading external files.
One other activity
Expand to see all activities and additional details
Show all four activities
Build a SAS Program to Analyze External Data
Show steps
Apply your knowledge of reading external files in a practical scenario by creating a SAS program to analyze data from an external source.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Identify a suitable external data source for analysis.
- Develop a SAS program to read, clean, and analyze the data.
- Generate insights or reports based on the analysis results.
Career center
Learners who complete Learning SAS: Reading Raw Data with the List Input Method will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist uses their skills in data analysis, machine learning, and artificial intelligence to extract insights from data and solve business problems. They work with large and complex datasets to identify patterns, trends, and anomalies. This course can help Data Scientists develop the skills they need to read and manipulate data, which are essential for their work. By learning how to use the list input method, Data Scientists can efficiently read data from external files and work with missing values, which are common challenges in data analysis.
Data Analyst
Data Analyst
A Data Analyst analyzes data to extract meaningful insights and make data-driven decisions. They use their skills in data mining, data visualization, and statistical analysis to identify patterns and trends in data. This course can help Data Analysts develop the skills they need to read and manipulate data, which are essential for their work. By learning how to use the list input method, Data Analysts can efficiently read data from external files and work with missing values, which are common challenges in data analysis.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and data to identify areas for improvement and make recommendations for change. They use their skills in data analysis, process mapping, and stakeholder management to help businesses improve their efficiency and effectiveness. This course can help Business Analysts develop the skills they need to read and manipulate data, which are essential for their work. By learning how to use the list input method, Business Analysts can efficiently read data from external files and work with missing values, which are common challenges in data analysis.
Data Engineer
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines. They use their skills in data engineering, data analysis, and software engineering to create and implement data solutions. This course can help Data Engineers develop the skills they need to read and manipulate data, which are essential for their work. By learning how to use the list input method, Data Engineers can efficiently read data from external files and work with missing values, which are common challenges in data engineering.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer builds and deploys machine learning models to solve business problems. They use their skills in machine learning, data analysis, and software engineering to develop and implement machine learning solutions. This course can help Machine Learning Engineers develop the skills they need to read and manipulate data, which are essential for their work. By learning how to use the list input method, Machine Learning Engineers can efficiently read data from external files and work with missing values, which are common challenges in data analysis.
Statistician
Statistician
A Statistician collects, analyzes, interprets, and presents data. They use their knowledge of statistics to develop and implement statistical methods to solve problems in various fields. This course can help Statisticians build a foundation in reading and manipulating data, which are essential skills for their work. By learning how to use the list input method, Statisticians can efficiently read data from external files and work with missing values, which are common challenges in data analysis.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses their skills in mathematics, statistics, and data analysis to develop and implement financial models. They use these models to make recommendations on investments and financial strategies. This course can help Quantitative Analysts develop the skills they need to read and manipulate data, which are essential for their work. By learning how to use the list input method, Quantitative Analysts can efficiently read data from external files and work with missing values, which are common challenges in financial modeling.
Risk Analyst
Risk Analyst
A Risk Analyst analyzes and manages financial risks for businesses and other organizations. They use their skills in risk management, data analysis, and financial modeling to identify and mitigate risks. This course can help Risk Analysts develop the skills they need to read and manipulate data, which are essential for their work. By learning how to use the list input method, Risk Analysts can efficiently read data from external files and work with missing values, which are common challenges in risk analysis.
Market Researcher
Market Researcher
A Market Researcher conducts research to gather information about target markets, competitors, and industry trends. They use their skills in data collection, analysis, and interpretation to help businesses make informed decisions about their marketing strategies. This course can help Market Researchers develop the skills they need to read and manipulate data, which are essential for their work. By learning how to use the list input method, Market Researchers can efficiently read data from external files and work with missing values, which are common challenges in data analysis.
Database Administrator
Database Administrator
A Database Administrator designs, implements, and maintains databases. They use their skills in data management, database design, and data analysis to ensure that databases are reliable, efficient, and secure. This course can help Database Administrators develop the skills they need to read and manipulate data, which are essential for their work. By learning how to use the list input method, Database Administrators can efficiently read data from external files and work with missing values, which are common challenges in database management.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. They use their skills in computer science, programming, and data analysis to create and implement software solutions. This course can help Software Engineers develop the skills they need to read and manipulate data, which are essential for their work. By learning how to use the list input method, Software Engineers can efficiently read data from external files and work with missing values, which are common challenges in software development.
Actuary
Actuary
An Actuary analyzes and manages financial risks for insurance companies and other financial institutions. They use their skills in mathematics, statistics, and data analysis to develop and implement risk management strategies. This course can help Actuaries develop the skills they need to read and manipulate data, which are essential for their work. By learning how to use the list input method, Actuaries can efficiently read data from external files and work with missing values, which are common challenges in data analysis.
UX Researcher
UX Researcher
A UX Researcher conducts research to improve the user experience of websites and other digital products. They use their skills in user research, data analysis, and design to identify and address user needs. This course can help UX Researchers develop the skills they need to read and manipulate data, which are essential for their work. By learning how to use the list input method, UX Researchers can efficiently read data from external files and work with missing values, which are common challenges in UX research.
Information Architect
Information Architect
An Information Architect designs and organizes website content and information systems. They use their skills in information architecture, user experience design, and data analysis to create and implement effective information systems. This course can help Information Architects develop the skills they need to read and manipulate data, which are essential for their work. By learning how to use the list input method, Information Architects can efficiently read data from external files and work with missing values, which are common challenges in information architecture.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data to make recommendations on investments and financial strategies. They use their skills in financial modeling, data analysis, and valuation to help businesses make informed decisions about their financial future. This course can help Financial Analysts develop the skills they need to read and manipulate data, which are essential for their work. By learning how to use the list input method, Financial Analysts can efficiently read data from external files and work with missing values, which are common challenges in data analysis.
For more career information including salaries, visit:
OpenCourser.com/course/xdoqqx/learning
Reading list
We've selected 12 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 with the List Input Method.
Comprehensive guide to preparing for the SAS 9 Advanced Programming certification exam. It covers all of the topics that are tested on the exam, and it includes practice questions and answers to help you prepare for the exam.
Comprehensive guide to SAS programming for risk management. It covers topics such as data manipulation, statistical analysis, and data visualization, and it great resource for experienced SAS users who want to learn more about risk management.
Comprehensive guide to SAS programming for text analytics. It covers topics such as data manipulation, statistical analysis, and data visualization, and it great resource for experienced SAS users who want to learn more about text analytics.
Comprehensive guide to SAS programming for time series analysis. It covers topics such as data manipulation, statistical analysis, and data visualization, and it great resource for experienced SAS users who want to learn more about time series analysis.
Comprehensive guide to SAS programming for data analysis. It covers a wide range of topics, including data manipulation, statistical analysis, and data visualization, and it great resource for intermediate and advanced SAS users who want to learn more about data analysis.
Comprehensive guide to advanced SAS programming techniques. It covers topics such as data manipulation, statistical analysis, and data visualization, and it great resource for experienced SAS users who want to learn more about advanced programming techniques.
Comprehensive guide to SAS programming for big data. It covers topics such as data manipulation, statistical analysis, and data visualization, and it great resource for experienced SAS users who want to learn more about big data programming.
Save
Comprehensive guide to SAS programming for clinical data management. It covers topics such as data manipulation, statistical analysis, and data visualization, and it great resource for experienced SAS users who want to learn more about clinical data management.
Save
Comprehensive guide to SAS programming for financial data analysis. It covers topics such as data manipulation, statistical analysis, and data visualization, and it great resource for experienced SAS users who want to learn more about financial data analysis.
Provides a comprehensive overview of SAS programming for users who are familiar with the R programming language. It covers the basics of SAS programming, including data manipulation, data analysis, and data visualization.
Save
Is an excellent resource for the beginners to learn the basic programming of SAS.
Provides a step-by-step guide to SAS programming. It covers a wide range of topics, including data manipulation, data analysis, and data visualization.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/xdoqqx/learning
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