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Structured Query Language (SQL) using SAS

Peter Styliadis

Course Description

In this course, you learn about Structured Query Language (SQL) and how it can be used in SAS programs to create reports and query your data.

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

● Query and subset data.

● Summarize and present data.

● Combine tables using joins and set operators.

● Create and modify tables and views.

● Create data-driven macro variables using a query.

● Access DBMS data with SAS/ACCESS technology.

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What's inside

Syllabus

Course Overview and Data Setup
In this module you get an overview of what you learn in this course and you set up the software and data you use for activities and practices in the course.
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Teaches Structured Query Language (SQL), which is widely used across industries for reporting and data analysis
Provides a comprehensive overview of data querying and subsetting using SQL, ideal for beginners and those new to data analysis
Introduces data summarization and presentation techniques, enabling learners to create informative reports and dashboards
Covers advanced concepts such as joins and set operators, essential for working with complex datasets and extracting meaningful insights
Demonstrates how to create and modify tables and views, providing learners with hands-on experience in data management
Suitable for SAS programmers looking to enhance their data manipulation and reporting capabilities

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Reviews summary

Practical sql for sas professionals

According to learners, this course offers a solid foundation in Structured Query Language (SQL) specifically within the SAS environment, making it particularly beneficial for data professionals. Students frequently commend the clear explanations and practical, hands-on examples that directly apply to real-world data manipulation and reporting tasks. While the course excels at integrating SQL with SAS, some learners note that it assumes a basic familiarity with SAS, which could be a potential hurdle for those entirely new to the software. The comprehensive coverage of PROC SQL fundamentals, including joins, subqueries, and set operators, is consistently highlighted as a strength, equipping students with valuable skills for efficient data querying and management.
Focuses on PROC SQL, not general database SQL.
"This course is excellent for learning SQL within the SAS ecosystem, but it doesn't aim to make you a general SQL expert."
"I found it thoroughly covers PROC SQL syntax and functionality, but it's very specific to SAS and its data structures."
"It's great if your primary goal is to use SQL inside SAS, rather than pure, generic SQL for other database systems."
Offers valuable practical exercises and demonstrations.
"The hands-on activities provided after each module were absolutely crucial for me to solidify my understanding."
"I really appreciated the practical exercises; they ensured that the concepts I learned truly stuck."
"Plenty of opportunities to write and test queries, which is the best way to learn SQL."
Concepts are presented clearly and are easy to grasp.
"The instructor effectively broke down complex SQL concepts into easily digestible and understandable modules."
"I found the lectures to be very well-paced, providing clear explanations of both SQL syntax and underlying logic."
"The way the course structures information makes it straightforward to follow, even for challenging topics."
Highly relevant for applying SQL within SAS programs.
"This course genuinely helped me apply SQL queries directly within my existing SAS projects, making my work more efficient."
"I now understand how to leverage PROC SQL effectively, which is a game-changer for my daily data manipulation tasks."
"Perfect for data professionals already familiar with SAS who are looking to integrate SQL into their existing skillset."
Basic SAS familiarity is beneficial, not for absolute beginners.
"I wish I had a bit more prior SAS background before starting; some initial parts felt a little fast-paced for me."
"Newcomers to the SAS environment might find the initial setup and navigation slightly challenging without prior exposure."
"The course assumes a foundational understanding of SAS, which wasn't explicitly clear from the description."

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 Structured Query Language (SQL) using SAS with these activities:
Learn SAS Online
Explore additional resources to strengthen your understanding of Structured Query Language (SQL).
Browse courses on Structured Query Language
Show steps
  • Identify a reputable online tutorial or course on SQL.
  • Review the syllabus or course outline to ensure alignment with your learning objectives.
  • Set aside dedicated time for completing the online tutorials or course.
  • Take notes, ask questions, and actively engage with the learning materials.
  • Practice writing and executing SQL queries to reinforce your understanding.
Review fundamental concepts of relational databases and SQL
Refreshes prior knowledge and ensures a strong foundation for the course material, reducing the need for remedial learning during the course.
Browse courses on SQL
Show steps
  • Revisit concepts of data modeling, normalization, and SQL syntax.
  • Solve practice problems or complete online quizzes to test understanding.
Seek Mentorship from Experienced SQL Practitioners
Connect with individuals who can provide guidance and support in your SQL learning journey.
Browse courses on Mentorship
Show steps
  • Identify potential mentors within your network or through professional organizations.
  • Reach out to mentors and express your interest in learning from their experience.
  • Schedule regular meetings or discussions to discuss your progress and challenges.
  • Actively engage with your mentors, ask questions, and seek feedback.
  • Express gratitude for the guidance and support you receive from your mentors.
16 other activities
Expand to see all activities and additional details
Show all 19 activities
Review SQL basics
Ensure you have a strong foundation in SQL syntax and concepts before diving into the course materials.
Browse courses on Structured Query Language
Show steps
  • Review basic SQL commands such as SELECT, FROM, WHERE, GROUP BY, and ORDER BY.
  • Practice writing simple SQL queries to extract data from tables.
  • Review data types and how to use them in SQL statements.
Join or form a study group with peers to discuss course concepts and assignments
Fosters collaboration and peer support, allowing learners to exchange ideas, clarify understanding, and learn from each other.
Browse courses on SQL
Show steps
  • Identify or connect with classmates who are interested in forming a study group.
  • Establish regular meeting times and a communication platform.
  • Prepare for meetings by reviewing course material and identifying topics for discussion.
  • Engage in active discussions, share insights, ask questions, and provide support to peers.
Review various resources such as blogs, journals, and books to reinforce core concepts
Exposes learners to different viewpoints and perspectives on the same core topics covered in the course, which can help solidify learning and deepen understanding.
View The Little SAS Book on Amazon
Show steps
  • Identify relevant resources from course materials, online repositories, databases, and libraries.
  • Read and synthesize information from various sources.
  • Summarize, annotate, and create notes to document key takeaways.
Practice SQL Queries
Reinforce your SQL skills through regular practice and exercises.
Browse courses on SQL
Show steps
  • Find online platforms or resources that provide SQL practice exercises.
  • Dedicate time to regularly solving SQL queries of varying difficulty levels.
  • Analyze your results and identify areas for improvement.
  • Seek feedback or assistance from peers or instructors when needed.
  • Persistently practice to enhance your proficiency in writing and executing SQL queries.
Follow tutorials on SAS SQL
Supplement your understanding of SAS SQL by following tutorials that provide step-by-step guidance on using the language.
Browse courses on SAS Programming
Show steps
  • Find online tutorials or video courses that cover SAS SQL fundamentals.
  • Follow the tutorials and practice writing SAS SQL code.
  • Experiment with different SAS SQL features and functions.
Complete interactive tutorials and exercises on SQL and SAS programming
Provides guided practice and hands-on experience, allowing learners to apply concepts and techniques in a structured environment.
Browse courses on SQL
Show steps
  • Identify reputable online platforms or resources that provide interactive tutorials and exercises.
  • Choose tutorials and exercises that align with course objectives and topics.
  • Follow instructions and complete exercises, taking notes and seeking clarification when needed.
  • Review and debug code, identifying and correcting errors to improve understanding.
Attend an SQL Workshop or Training
Enhance your SQL skills through interactive workshops or training sessions.
Browse courses on SQL
Show steps
  • Research and identify reputable SQL workshops or training programs.
  • Register and attend the workshop or training.
  • Actively participate in the sessions, ask questions, and engage with instructors.
  • Apply the knowledge and techniques learned in the workshop to your own projects.
  • Follow up with the workshop organizers or instructors for continued support.
Solve practice problems and coding challenges related to SQL and SAS
Reinforces understanding and develops problem-solving skills by providing opportunities to apply knowledge in different contexts.
Browse courses on SQL
Show steps
  • Find online platforms or resources that offer practice problems and coding challenges.
  • Select problems and challenges that are relevant to the course material and difficulty level.
  • Solve problems and challenges independently or with peers.
  • Analyze solutions, identify errors, and learn from mistakes.
Complete SQL practice exercises
Reinforce your grasp of SQL concepts by completing practice exercises that challenge you to solve data-related problems.
Browse courses on SQL Queries
Show steps
  • Find online platforms or textbooks that offer SQL practice exercises.
  • Start with easier exercises and gradually progress to more complex ones.
  • Review your answers and identify areas where you need improvement.
Attend industry meetups or conferences
Expand your professional network and gain insights from experts by attending industry meetups or conferences related to data analysis and SAS SQL.
Browse courses on Networking
Show steps
  • Research upcoming industry events in your area.
  • Register for events that align with your interests.
  • Connect with professionals, share knowledge, and explore potential opportunities.
Create a data visualization project using SQL and SAS
Encourages learners to apply their knowledge creatively by transforming data into visual representations, which can enhance understanding and communication.
Browse courses on SQL
Show steps
  • Choose a dataset or scenario that lends itself to data visualization.
  • Design and create visualizations using appropriate SQL and SAS techniques.
  • Interpret and analyze the visualizations to draw insights and conclusions.
  • Present the visualizations and findings in a clear and compelling manner.
Develop a SAS Data Analysis Project
Apply your knowledge and skills to a practical data analysis project.
Browse courses on Data Analysis
Show steps
  • Identify a real-world dataset or problem that aligns with your learning objectives.
  • Design and develop a SAS program that uses SQL to query, manipulate, and analyze the data.
  • Create visualizations and reports to present your findings and insights.
  • Peer review or present your project to receive constructive feedback.
  • Reflect on your project and identify areas for improvement.
Build a mini data analysis project
Apply your SAS SQL skills to a practical scenario by building a mini data analysis project that addresses a real-world problem.
Browse courses on Data Analysis
Show steps
  • Identify a small dataset and a specific problem or question you want to answer.
  • Use SAS SQL to extract, transform, and analyze the data.
  • Create visualizations or reports to present your findings.
Develop a SAS program to automate data processing tasks based on SQL queries
Challenges learners to apply their knowledge in a practical and project-based setting, fostering problem-solving and critical thinking skills.
Browse courses on SQL
Show steps
  • Identify a data processing task that can be automated using SAS and SQL.
  • Design and implement a SAS program that incorporates SQL queries to extract, manipulate, and transform data.
  • Test, debug, and refine the program to ensure efficient and accurate data processing.
  • Document the program and prepare user instructions for future use.
Mentor junior data analysts
Solidify your understanding of SAS SQL by teaching and guiding junior data analysts, providing valuable insights and support.
Browse courses on Mentoring
Show steps
  • Identify opportunities to mentor junior data analysts.
  • Share your knowledge and experience, providing guidance and feedback.
  • Evaluate their progress and offer support to enhance their skills.
Volunteer at a local organization that utilizes SQL and SAS for data analysis
Provides real-world experience in applying SQL and SAS skills, enhancing practical knowledge and making learning more meaningful.
Browse courses on SQL
Show steps
  • Identify local organizations that align with personal interests and utilize SQL and SAS.
  • Contact the organizations and inquire about volunteer opportunities.
  • Participate in projects and tasks that involve data analysis using SQL and SAS.
  • Collaborate with professionals and gain insights into industry applications.

Career center

Learners who complete Structured Query Language (SQL) using SAS will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst processes large volumes of data to find meaningful insights and trends. These insights are used to make better decisions and improve business outcomes. This course may be useful for aspiring Data Analysts as it teaches how to query and subset data, summarize and present data, and combine tables using joins and set operators.
See salaries and explore the career path for Data Analyst
Data Scientist
A Data Scientist uses advanced statistical methods and machine learning techniques to extract knowledge from data. This course may be useful for aspiring Data Scientists as it teaches how to query and subset data, summarize and present data, and combine tables using joins and set operators. Additionally, this course provides an overview of SAS/ACCESS technology, which can be used to access data from third party database management systems (DBMS).
See salaries and explore the career path for Data Scientist
Database Administrator
A Database Administrator is responsible for the maintenance and performance of an organization's databases. This course may be useful for aspiring Database Administrators as it teaches how to create and modify tables and views, and how to access data from third party DBMS using SAS/ACCESS technology.
See salaries and explore the career path for Database Administrator
Business Analyst
A Business Analyst uses data to identify and solve business problems. This course may be useful for aspiring Business Analysts as it teaches how to query and subset data, summarize and present data, and combine tables using joins and set operators.
See salaries and explore the career path for Business Analyst
Market Researcher
A Market Researcher conducts research to collect data about consumer behavior and trends. This course may be useful for aspiring Market Researchers as it teaches how to query and subset data, summarize and present data, and combine tables using joins and set operators.
See salaries and explore the career path for Market Researcher
Data Engineer
A Data Engineer designs and builds data pipelines and infrastructure. This course may be useful for aspiring Data Engineers as it teaches how to query and subset data, summarize and present data, and combine tables using joins and set operators.
See salaries and explore the career path for Data Engineer
Web Developer
A Web Developer designs and develops websites and web applications. This course may be useful for aspiring Web Developers as it teaches the fundamentals of SQL, which is used to store and retrieve data on the web.
See salaries and explore the career path for Web Developer
Health Services Researcher
A Health Services Researcher uses data to improve the quality and efficiency of healthcare. This course may be useful for aspiring Health Services Researchers as it teaches how to query and subset data, summarize and present data, and combine tables using joins and set operators.
See salaries and explore the career path for Health Services Researcher
Statistician
A Statistician collects, analyzes, and interprets data to make informed decisions. This course may be useful for aspiring Statisticians as it teaches the fundamentals of SQL, which is used to store and retrieve data for statistical analysis.
See salaries and explore the career path for Statistician
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. This course may be useful for aspiring Financial Analysts as it teaches how to query and subset data, summarize and present data, and combine tables using joins and set operators.
See salaries and explore the career path for Financial Analyst
Actuary
An Actuary uses mathematical and statistical techniques to assess risk and uncertainty. This course may be useful for aspiring Actuaries as it teaches the fundamentals of SQL, which is used to store and retrieve data for actuarial calculations.
See salaries and explore the career path for Actuary
Operations Research Analyst
An Operations Research Analyst uses mathematical and analytical techniques to solve complex business problems. This course may be useful for aspiring Operations Research Analysts as it teaches the fundamentals of SQL, which is used to store and retrieve data for analysis.
See salaries and explore the career path for Operations Research Analyst
Epidemiologist
An Epidemiologist investigates the causes and patterns of disease. This course may be useful for aspiring Epidemiologists as it teaches how to query and subset data, summarize and present data, and combine tables using joins and set operators.
See salaries and explore the career path for Epidemiologist
Public Health Analyst
A Public Health Analyst uses data to improve public health outcomes. This course may be useful for aspiring Public Health Analysts as it teaches how to query and subset data, summarize and present data, and combine tables using joins and set operators.
See salaries and explore the career path for Public Health Analyst
Software Engineer
A Software Engineer designs, develops, and maintains software systems. This course may be useful for aspiring Software Engineers as it teaches the fundamentals of SQL, which is a widely used database language.
See salaries and explore the career path for Software Engineer

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 Structured Query Language (SQL) using SAS .
Cover image
SQL Queries for Mere Mortals
Save
Provides a highly accessible introduction to SQL, focusing on practical query writing for data manipulation and analysis. It covers essential SQL concepts, such as data types, operators, functions, and joins, using clear examples and hands-on exercises, making it suitable for both beginners and those seeking to refresh their SQL skills.
SQL Queries for Mere Mortals: A Hands-On Guide to...
Kindle Edition
$$
SQL Queries for Mere Mortals: A Hands-On Guide to...
Paperback
$$
SQL Queries for Mere Mortals: A Hands-on Guide to...
Paperback
$$
SQL Queries for Mere Mortals: A Hands-On Guide to...
Paperback
$$
Cover image
SQL Antipatterns, Volume 1
Save
Identifies and explains common pitfalls and anti-patterns in SQL programming. It provides practical guidance on how to avoid these mistakes, leading to more efficient and maintainable SQL code. While it is primarily geared towards experienced SQL developers, it can also benefit those who want to learn from the mistakes of others and write better SQL code.
SQL Antipatterns, Volume 1: Avoiding the Pitfalls...
Paperback
$$
SQL Antipatterns, Volume 1
Kindle Edition
$$
Cover image
Learning Snowflake SQL and Scripting
Save
This textbook provides a comprehensive introduction to SQL for students and beginners. It covers the fundamentals of SQL, including data types, operators, functions, and data manipulation statements. While it may be less comprehensive than other resources, it good starting point for those who want a structured and academic approach to learning SQL.
Learning Snowflake SQL and Scripting: Generate,...
Paperback
$$
Learning Snowflake SQL and Scripting
Kindle Edition
$$
Cover image
SQL Server T-SQL Recipes
Save
This pocket-sized guide provides a concise and portable reference for SQL syntax and commands. It handy resource for quick lookups and reminders, especially when working on the go or in situations where a comprehensive book is not practical.
SQL Server T-SQL Recipes
Kindle Edition
$$
SQL Server 2012 T-SQL Recipes: A Problem-Solution...
Paperback
$$$
Cover image
MySQL Reference Manual
Save
Comprehensive guide to MySQL, one of the most popular open-source database management systems. While it is not specific to SAS, it provides valuable information about SQL syntax, data types, and database administration tasks that can be applied to SQL in SAS.
MySQL Reference Manual: Documentation from the...
Paperback
$$
Cover image
OCP Oracle9i Database: Fundamentals I Exam Guide
Save
Is specifically tailored towards Oracle SQL, another popular database management system. While it is not directly applicable to SAS, it can provide useful insights into advanced SQL concepts and techniques that may be transferable to SQL in SAS.
OCP Oracle9i Database: Fundamentals I Exam Guide
Hardcover
$$

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Via
Coursera
Institution
SAS
Instructor
Peter Styliadis
Language
English
Transcripts
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This course belongs to a collection called SAS Advanced Programmer. It's comprised of three courses:
  1. Advanced SAS Programming Techniques
  2. SAS Macro Language
  3. Structured Query Language (SQL) using SAS (viewing)
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Teaches Structured Query Language (SQL), which is widely used across industries for reporting and data analysis
Provides a comprehensive overview of data querying and subsetting using SQL, ideal for beginners and those new to data analysis
Introduces data summarization and presentation techniques, enabling learners to create informative reports and dashboards
Covers advanced concepts such as joins and set operators, essential for working with complex datasets and extracting meaningful insights
Demonstrates how to create and modify tables and views, providing learners with hands-on experience in data management
Suitable for SAS programmers looking to enhance their data manipulation and reporting capabilities
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