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Afia Owusu-Forfie
In this 1.25-hour long project-based course, you will learn to explain the highlights of the history of SAS, how to access and explore SAS Studio and how to transfer a NOTEPAD file into SAS Studio.
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/mlyfjp/learning
What's inside
Syllabus
Project Overview
Welcome to Learning SAS: History and SAS Studio. In this project, you will list highlights in the history of SAS, confirm that SAS is a leader in analytics, access SAS Studio, navigate its environment and transfer data from a NOTEPAD on your desktop into SAS Studio
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Useful for learners in North America
Introduces SAS, a popular analytics tool
Teaches SAS Studio, the online interface for SAS
Suitable for beginners looking to learn SAS basics
Save this course
Save Learning SAS: History and SAS Studio to your list so you can find it easily later:
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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: History and SAS Studio with these
activities:
Review prerequisite math concepts
Show steps
Refresh foundational math knowledge to strengthen understanding of SAS
Browse courses on
Math
Show steps
-
Review basic algebra concepts
-
Practice solving equations
-
Review basic statistics concepts
Form a study group with classmates
Show steps
Reinforce understanding through collaboration and peer support
Show steps
-
Connect with classmates who share similar goals
-
Establish regular meeting times
-
Review course materials, discuss concepts, and solve problems together
Attend SAS user group meetings
Show steps
Connect with other SAS users and learn from their experiences
Show steps
-
Identify local SAS user groups
-
Attend meetings and participate in discussions
-
Network with other SAS professionals
Six other activities
Expand to see all activities and additional details
Show all nine activities
Practice writing SAS code
Show steps
Reinforce understanding of SAS syntax and commands through practice
Show steps
-
Write code to create a new dataset
-
Write code to import data from a file
-
Write code to perform basic data manipulation
Follow online SAS tutorials
Show steps
Expand knowledge of SAS by following structured tutorials
Show steps
-
Locate reputable SAS tutorial websites
-
Choose tutorials that align with course objectives
-
Complete tutorials and practice exercises
Read the SAS User's Guide
Show steps
Gain comprehensive knowledge of SAS features and capabilities
Show steps
-
Review the basics of SAS programming
-
Explore advanced SAS topics
-
Refer to the guide for specific syntax and functions
Attend SAS workshops
Show steps
Gain hands-on experience and learn advanced SAS techniques
Show steps
-
Identify SAS workshops offered in your area
-
Register for workshops that align with your interests
-
Participate actively in workshops
Create a personal SAS project
Show steps
Apply SAS skills to a real-world project, enhancing understanding
Show steps
-
Define a project goal and objectives
-
Gather and prepare data
-
Develop SAS code to analyze data
-
Interpret results and draw conclusions
Develop a SAS portfolio
Show steps
Showcase SAS skills and demonstrate practical applications
Show steps
-
Create a GitHub or Bitbucket repository
-
Upload SAS projects, code snippets, and documentation to your repository
-
Share your portfolio with potential employers or clients
Review prerequisite math concepts
Show steps
Refresh foundational math knowledge to strengthen understanding of SAS
Browse courses on
Math
Show steps
Show steps
Show steps
- Review basic algebra concepts
- Practice solving equations
- Review basic statistics concepts
Form a study group with classmates
Show steps
Reinforce understanding through collaboration and peer support
Show steps
Show steps
Show steps
- Connect with classmates who share similar goals
- Establish regular meeting times
- Review course materials, discuss concepts, and solve problems together
Attend SAS user group meetings
Show steps
Connect with other SAS users and learn from their experiences
Show steps
Show steps
Show steps
- Identify local SAS user groups
- Attend meetings and participate in discussions
- Network with other SAS professionals
Six other activities
Expand to see all activities and additional details
Show all nine activities
Practice writing SAS code
Show steps
Reinforce understanding of SAS syntax and commands through practice
Show steps
Show steps
Show steps
- Write code to create a new dataset
- Write code to import data from a file
- Write code to perform basic data manipulation
Follow online SAS tutorials
Show steps
Expand knowledge of SAS by following structured tutorials
Show steps
Show steps
Show steps
- Locate reputable SAS tutorial websites
- Choose tutorials that align with course objectives
- Complete tutorials and practice exercises
Read the SAS User's Guide
Show steps
Gain comprehensive knowledge of SAS features and capabilities
Show steps
Show steps
Show steps
- Review the basics of SAS programming
- Explore advanced SAS topics
- Refer to the guide for specific syntax and functions
Attend SAS workshops
Show steps
Gain hands-on experience and learn advanced SAS techniques
Show steps
Show steps
Show steps
- Identify SAS workshops offered in your area
- Register for workshops that align with your interests
- Participate actively in workshops
Create a personal SAS project
Show steps
Apply SAS skills to a real-world project, enhancing understanding
Show steps
Show steps
Show steps
- Define a project goal and objectives
- Gather and prepare data
- Develop SAS code to analyze data
- Interpret results and draw conclusions
Develop a SAS portfolio
Show steps
Showcase SAS skills and demonstrate practical applications
Show steps
Show steps
Show steps
- Create a GitHub or Bitbucket repository
- Upload SAS projects, code snippets, and documentation to your repository
- Share your portfolio with potential employers or clients
Career center
Learners who complete Learning SAS: History and SAS Studio will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
A Data Analyst uses statistical techniques to analyze data and extract meaningful insights to help businesses make informed decisions. This course provides a solid foundation in SAS, a powerful data analysis tool, which can greatly enhance a Data Analyst's ability to perform data manipulation, statistical analysis, and data visualization.
Business Analyst
Business Analyst
A Business Analyst uses data to assess business needs and opportunities, and to define and recommend solutions that improve business performance. This course provides exposure to SAS, a widely used business intelligence tool, which can help Business Analysts perform data analysis, create reports, and build predictive models to support decision-making.
Data Scientist
Data Scientist
A Data Scientist uses mathematical and statistical techniques to extract insights from data and build predictive models. This course provides a solid foundation in SAS, a powerful data analysis tool commonly used in data science, which can help Data Scientists perform data exploration, feature engineering, model building, and model evaluation.
Statistician
Statistician
A Statistician uses statistical methods to collect, analyze, interpret, and present data. This course provides an introduction to SAS, a widely used statistical software package, which can greatly enhance a Statistician's ability to perform statistical analysis, create visualizations, and generate reports.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. While this course does not directly teach software engineering, it does provide exposure to SAS, a widely used programming language in various industries, which can be beneficial for Software Engineers looking to expand their skillset.
Data Engineer
Data Engineer
A Data Engineer designs, builds, and maintains data management systems. This course provides a solid foundation in SAS, a powerful data manipulation tool, which can greatly enhance a Data Engineer's ability to perform data integration, data transformation, and data quality control.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases to ensure optimal performance and data integrity. This course provides exposure to SAS, a software that can be used for data management tasks such as data import, data export, and data manipulation, which can be beneficial for Database Administrators looking to expand their skillset.
Market Researcher
Market Researcher
A Market Researcher conducts research to gather insights about target markets, competitors, and industry trends. This course provides an introduction to SAS, a powerful data analysis tool, which can greatly enhance a Market Researcher's ability to analyze market data, create reports, and make data-driven recommendations.
Financial Analyst
Financial Analyst
A Financial Analyst uses financial data to make investment recommendations and analyze financial performance. This course provides exposure to SAS, a software that can be used for financial data analysis and modeling, which can be beneficial for Financial Analysts looking to expand their skillset.
Actuary
Actuary
An Actuary uses mathematical and statistical techniques to assess risk and uncertainty. This course provides an introduction to SAS, a powerful data analysis tool, which can greatly enhance an Actuary's ability to perform data analysis, build predictive models, and evaluate risk.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses mathematical and analytical techniques to solve complex business problems. This course provides exposure to SAS, a software that can be used for data analysis and optimization, which can be beneficial for Operations Research Analysts looking to expand their skillset.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical techniques to analyze financial data and make investment decisions. This course provides an introduction to SAS, a software that can be used for financial data analysis and modeling, which can be beneficial for Quantitative Analysts looking to expand their skillset.
Risk Manager
Risk Manager
A Risk Manager identifies, assesses, and manages risks to an organization. This course provides exposure to SAS, a software that can be used for risk analysis and modeling, which can be beneficial for Risk Managers looking to expand their skillset.
Auditor
Auditor
An Auditor examines an organization's financial statements and records to express an opinion on their accuracy and fairness. This course provides exposure to SAS, a software that can be used for data analysis and auditing procedures, which can be beneficial for Auditors looking to expand their skillset.
Compliance Officer
Compliance Officer
A Compliance Officer ensures that an organization complies with applicable laws and regulations. This course provides exposure to SAS, a software that can be used for data analysis and compliance reporting, which can be beneficial for Compliance Officers looking to expand their skillset.
For more career information including salaries, visit:
OpenCourser.com/course/mlyfjp/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: History and SAS Studio.
This official guide provides detailed instructions on how to use SAS Studio, covering topics such as data exploration, manipulation, and analysis. It valuable resource for anyone who wants to get the most out of SAS Studio.
This textbook provides a comprehensive overview of SAS for data analysis. It covers a wide range of topics, from data exploration and preparation to statistical modeling and reporting, making it suitable for both beginners and experienced users.
Provides a gentle introduction to SAS programming for users who are familiar with R. It covers the basics of SAS syntax, data manipulation, and analysis, making it a suitable choice for those who want to transition from R to SAS.
Provides a comprehensive overview of mixed models using SAS. It covers all aspects of mixed models, from basic concepts to advanced applications, making it suitable for both beginners and experienced users.
Save
Provides a comprehensive overview of SAS for social science applications. It covers a wide range of topics, from data management and analysis to statistical modeling and reporting, making it suitable for both beginners and experienced users.
This official guide provides comprehensive coverage of the topics tested on the SAS Certified Specialist exam for Base Programming for SAS 9. It valuable resource for anyone who wants to prepare for and pass this certification exam.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/mlyfjp/learning
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Effort
1.25 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Afia Owusu-Forfie
Language
English
Good to know
Useful for learners in North America
Introduces SAS, a popular analytics tool
Teaches SAS Studio, the online interface for SAS
Suitable for beginners looking to learn SAS basics
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