SAS Programming - Learn SAS from Beginner to Advanced from Udemy

Legal notice: This course uses a commercial license from Anyone interested in full information, visit our disclaimer at the bottom. Thank you.

Course Updated for 2024.

SAS Programming all in One Package

This SAS Programming course combines 3 different courses.

SAS Programming 101 - An Introduction to SAS

SAS Programming 102 - Intermediate Level SAS

SAS Programming 103 - Advanced Level SAS

Master SAS Programming SQL and Macro programming

Material recorded in WPS SAS but works in SAS Base, SAS University Edition, and SAS Enterprise Edition.

Enroll now to go through a deep dive of the most popular statistical analysis tool in the market, SAS. You can get a SAS Programming Certification.

Multiple real-work projects will help you practice what you learn in the course.

Students Love This Course

This course is taught by an HSBC Insurance Analyst on SAS Base Programming and will equip you with skills to become a SAS Analyst.

This is the most comprehensive, yet straightforward, course for the SAS software on Udemy. Whether you have never programmed before, already know basic syntax, or want to learn about the advanced features of SAS, this course is for you. We will teach you the SAS syntax and practice your skills in real-world case studies.

Why This Course is Enjoyed by Students?

Fast and clear explanations. This course teaches you the SAS programming skills that are absolutely necessary.

Hands on experience. This course use more than 5 real-world projects so you can learn how to apply SAS programming in practice.

Taught by expert. I draw from my work experience as an Analyst, and teach you what SAS procedures are the most important ones.

So, what are you waiting for, enroll now and take the next step in mastering SAS and go from SAS Newb to SAS Guru.

We do not provide, nor do we endorse, a download of SAS University edition for your learning purposes, nor do we personally use SAS software, or SAS logos. We do not link to SAS website, nor do we link to any SAS content, nor do we have screen shots of any of their assets, nor do we distribute it, nor do we suggest it's ours.

We use a commercial license from WPS. The system I use, WPS, is in no way associated with SAS System. Furthermore, whenever you see the phrases "SAS", "SAS Language" and "language of SAS" used in the course content this refers to the computer programming language. If you see phrases like "program", "SAS program", "SAS language program" used in my course, this is used to refer to programs written in the SAS language. These may also be referred to as "scripts", "SAS scripts" or "SAS language scripts".

What's inside

Learning objectives

Be equipped with the powerful sas language to start an amazing data analysis career
Learn by analyzing real world projects: retail store revenue, stock market, car sales, and basketball players
Master how to import and merge data, clean your data, and use conditional logic
Learn how to generate statistics such as mean value, median value, and standard deviation

Be ready to work in finance and pharmaceutical industries that requires sas programming skills
Be able to perform linear regression to analyze data
Be able to create charts and plots for data (visualization)
Apply macro programming skills to write efficient sas programs

Be equipped with the powerful sas language to start an amazing data analysis career
Learn by analyzing real world projects: retail store revenue, stock market, car sales, and basketball players
Master how to import and merge data, clean your data, and use conditional logic
Learn how to generate statistics such as mean value, median value, and standard deviation
Be ready to work in finance and pharmaceutical industries that requires sas programming skills
Be able to perform linear regression to analyze data
Be able to create charts and plots for data (visualization)
Apply macro programming skills to write efficient sas programs

Syllabus

Course Material (Video tutorial in the next lecture)

Course Materials

Introduction

Import and Export Data

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Equips learners with SAS programming skills applicable to data analysis careers, especially in finance and pharmaceuticals, where SAS is a commonly used tool

Progresses from introductory to advanced SAS programming, covering SQL and macro programming, which allows learners to develop a comprehensive skillset

Involves multiple real-world projects, such as retail revenue prediction and stock market analysis, which provides practical experience in applying SAS programming

Teaches how to import, merge, and clean data, generate statistics, perform regression analysis, and create data visualizations, which are essential for data analysis

Material is recorded in WPS SAS, but it also works in SAS Base, SAS University Edition, and SAS Enterprise Edition, which provides flexibility for learners

Requires learners to use a commercial license from WPS, which may pose a barrier to entry for some learners due to cost

Reviews summary

Sas programming essentials with projects

According to learners, this course provides a largely positive learning experience for those starting with SAS, covering essential topics from beginner to intermediate levels. Students appreciate the clear explanations and the extensive use of practical, real-world case studies and projects, finding them invaluable for applying concepts and feeling more confident for data analysis roles in industries like finance and pharma. However, a notable point raised by reviewers is the course's use of WPS software rather than official SAS, which some found unexpected despite disclaimers. Furthermore, while strong for beginners, some feel the 'advanced' sections lack depth and may not be sufficient for more experienced programmers or for mastering complex topics like macro programming.

Course uses WPS, not official SAS.

"using WPS instead of actual SAS was a bit different, but the code syntax is mostly the same."

"The WPS software is not the industry standard SAS, which can be confusing for some..."

"The course uses WPS, not SAS. This feels misleading even with the disclaimer."

"Doesn't use real SAS software."

"The explanation about WPS vs SAS was clear upfront, but potential learners should be aware it's not the official SAS software..."

Instructor explains concepts clearly.

"This course was excellent! The instructor explains concepts very clearly..."

"Fast and clear explanations. This course teaches you the SAS programming skills that are absolutely necessary."

"Clear explanations, practical examples, covers everything needed to get started..."

"One of the best SAS courses online. Clear explanations, practical examples..."

Skills useful for data analysis roles.

"I feel much more confident applying SAS in my job now."

"Highly recommended for anyone looking to learn SAS for data analysis roles."

"Be equipped with the powerful SAS language to start an amazing data analysis career"

"I'm using SAS at work now thanks to this course."

"covers everything needed to get started in a data analysis role."

Real-world projects solidify learning.

"The real-world case studies were invaluable and helped solidify my understanding."

"Multiple real-work projects will help you practice what you learn in the course."

"Hands on experience. This course use more than 5 real-world projects so you can learn how to apply SAS programming in practice."

"The projects are very helpful for practice."

"The case studies are realistic and applying the concepts to them was a great way to learn."

Advanced topics lack depth; better for beginners.

"It covers the basics well, but I found the 'advanced' sections less detailed than I expected."

"The macro programming part was a bit rushed."

"The 'advanced' topics are very basic."

"Not suitable if you're beyond a beginner level."

"The so-called advanced material is superficial."

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 SAS Programming - Learn SAS from Beginner to Advanced with these activities:

Review Basic Statistics Concepts

Show steps

Reinforce your understanding of fundamental statistical concepts like mean, median, standard deviation, and distributions, which are essential for interpreting SAS output and performing data analysis.

Browse courses on Statistics

Show steps

Review definitions of mean, median, mode, and standard deviation.
Practice calculating these statistics on small datasets.
Understand the difference between descriptive and inferential statistics.

Read 'The Little SAS Book'

Show steps

Supplement your learning with a well-regarded introductory text that provides a solid foundation in SAS programming.

View The Little SAS Book on Amazon

Show steps

Obtain a copy of 'The Little SAS Book'.
Work through the examples in the book, experimenting with the code.
Focus on the chapters covering data manipulation and basic statistical procedures.

Practice Data Import and Export

Show steps

Solidify your understanding of data import and export by practicing with different file formats and options in SAS.

Browse courses on Data Import

Show steps

Download sample datasets in various formats (CSV, Excel, TXT).
Use SAS procedures like PROC IMPORT and PROC EXPORT to read and write data.
Experiment with different options for handling delimiters, missing values, and data types.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Build a SAS Macro for Data Cleaning

Show steps

Enhance your SAS programming skills by creating a reusable macro to automate a common data cleaning task.

Show steps

Identify a repetitive data cleaning task from the course or your own experience.
Design a SAS macro that takes parameters and performs the task automatically.
Test the macro with different datasets and parameter values.
Document the macro's functionality and usage.

Create a SAS Code Snippet Library

Show steps

Improve your efficiency and retention by creating a personal library of reusable SAS code snippets for common tasks.

Show steps

Identify frequently used code patterns from the course materials.
Create a document or file to store these code snippets with clear comments.
Organize the snippets by category (e.g., data cleaning, statistical analysis, reporting).
Regularly update the library with new snippets as you learn them.

Analyze a Public Dataset with SAS

Show steps

Apply your SAS skills to a real-world dataset to gain practical experience and deepen your understanding of data analysis techniques.

Show steps

Find a publicly available dataset that interests you (e.g., from Kaggle or government websites).
Use SAS to import, clean, and explore the data.
Perform statistical analysis and create visualizations to answer specific research questions.
Document your analysis and findings in a report or presentation.

Review 'SAS Certification Prep Guide'

Show steps

Prepare for SAS certification by reviewing a comprehensive guide that covers the essential topics and skills.

View SAS Certified Professional Prep Guide: Advanced... on Amazon

Show steps

Obtain a copy of the 'SAS Certification Prep Guide'.
Work through the practice questions and exercises in the book.
Focus on the areas where you need the most improvement.

Career center

Learners who complete SAS Programming - Learn SAS from Beginner to Advanced will develop knowledge and skills that may be useful to these careers:

Statistical Programmer

Statistical Programmers use coding to wrangle and analyze data for many industries including pharmaceuticals and research; this is directly connected to the skills taught in this course. The course’s deep dive into SAS programming, including SQL and macro programming and using the language to generate statistical reports, is very useful for a statistical programmer. The course teaches how to perform linear regression, data visualization, and other analyses. For anyone looking to become a Statistical Programmer, this course offers practical experience through real-world projects, which allows one to build a strong foundation in data analysis using SAS.

See salaries and explore the career path for Statistical Programmer

Data Analyst

A Data Analyst uses statistical methods to analyze data and provide actionable insights, making this course invaluable. This course covers essential SAS programming, teaches how to import, clean, and manipulate data, and how to generate statistics. The course also discusses statistical techniques like linear regression, which are used by data analysts to find trends and relationships. Moreover, the course focuses on producing reports and visualizations, which are essential skills for a Data Analyst in order to effectively present their findings. A student seeking this role should take this course for its practical, project-based approach to developing SAS programming expertise.

See salaries and explore the career path for Data Analyst

Healthcare Analyst

Healthcare analysts use data to improve healthcare outcomes and efficiency which makes this course very relevant. The course provides a complete introduction to SAS programming, which is used to analyze healthcare data. The course teaches how to import and clean data, use conditional logic, and perform statistical analysis, including regression analysis. The course also focuses on creating data visualization and reports, important for communicating healthcare data. A student seeking this role will benefit from this course's practical, hands-on approach.

See salaries and explore the career path for Healthcare Analyst

Research Analyst

A Research Analyst gathers and analyzes data to support research projects. This course is especially relevant for this role because it provides the core data analysis skills using the SAS programming language to perform statistical computations. The course teaches how to import and manipulate data and generate summary statistics, which Research Analysts use frequently. The course’s linear regression and data visualization component are also important for exploring research data. The use of real-world case studies, such as stock market analysis, also provides context to the role of a research analyst. If you want this role, this course is recommended.

See salaries and explore the career path for Research Analyst

Business Intelligence Analyst

Business intelligence analysts use data to improve business operations. This course will help a business intelligence analyst gain the skills to use data effectively. This SAS programming course teaches how to import, clean, and combine data. The course also shows how to use SQL statements to handle data, an essential skill for a business intelligence analyst. Further, the course teaches how to produce business reports, generate charts, and analyze data using regression models. A student seeking this role will benefit from this course's real-world projects and hands-on experience using SAS.

See salaries and explore the career path for Business Intelligence Analyst

Risk Analyst

Risk Analysts assess and manage financial and operational risks by leveraging data, which is where this course is highly relevant. The course focuses on using SAS to perform statistical analysis, including linear regression which is useful for model-building for risk assessment. The course also covers data manipulation, generating reports, and SQL, all of which are essential to risk management work. This course will be useful in achieving this goal, and is recommended for anyone seeking a position as a Risk Analyst.

See salaries and explore the career path for Risk Analyst

Marketing Analyst

Marketing Analysts use data to measure the success of marketing campaigns and identify opportunities for improvement. This course is directly relevant due to its content on data analysis, statistical methods, and data visualization. The course teaches how to use SAS to perform data cleaning, data manipulation, and statistical analysis, including the creation of summary statistics and regression analysis. The course also covers how to create charts and reports, which are essential skills for a marketing analyst. If you seek to become a Marketing Analyst, the course is recommended.

See salaries and explore the career path for Marketing Analyst

Operations Analyst

An Operations Analyst uses data to improve the efficiency and effectiveness of an organization's operations. This course provides a good foundation in using SAS to analyze data. The course’s instruction on data importing, cleaning, and manipulation helps an operations analyst to work with operational data, while the course’s real-world case studies demonstrate how these skills can be used in business. The course also provides experience in creating data reports and visualizations. The techniques taught in this course are applicable to the demands of an Operations Analyst. A student seeking this role should consider this course.

See salaries and explore the career path for Operations Analyst

Supply Chain Analyst

Supply Chain Analysts use data to improve the efficiency of the supply chain. This course can be a useful starting point for such a role, by enhancing the data analysis skills needed by a Supply Chain Analyst. This course teaches how to use SAS to perform data manipulation, statistical analysis, and data visualization. The course’s real-world case studies also provide opportunities to practice. Further, this course teaches how to analyze data using regression models, which can be used to improve the supply chain. A student seeking this role should note this.

See salaries and explore the career path for Supply Chain Analyst

Financial Analyst

Financial Analysts use data to assess financial performance, and this course helps provide the tools to do so. The course covers a variety of statistical analysis techniques using SAS, including regression analysis to model relationships between financial variables. The course also includes case studies covering revenue prediction showing how analysis can be applied in a financial context. This course also examines how to generate descriptive statistics, create reports, and visualize data, which is essential for any Financial Analyst. If you seek this kind of role, this course may be helpful.

See salaries and explore the career path for Financial Analyst

Pricing Analyst

Pricing Analysts examine data to develop pricing strategies. This course will help a pricing analyst gain the skills needed for this task. This course covers the use of SAS for data manipulation and statistical analysis, which are key to developing pricing models. The course shows how to import, clean, and combine data. It also covers regression analysis which is used to understand how pricing impacts demand. The course’s real-world projects also provide practical experience in data analysis. A student seeking this role will find that this course may be useful.

See salaries and explore the career path for Pricing Analyst

Quantitative Analyst

Quantitative Analysts, also known as quants, use mathematical and statistical models to solve financial problems. This course introduces students to SAS programming, a critical tool for quants, and covers statistical techniques like linear regression and correlation analysis. The course also teaches how to import, manipulate, and analyze data, critical for doing quantitative analysis. The topics covered in this course including data reporting, visualization, and modeling provides a base for becoming a Quant. While the role generally requires an advanced degree, this course may be helpful.

See salaries and explore the career path for Quantitative Analyst

Research Scientist

A Research Scientist uses data and statistical methods to conduct scientific research, often requiring advanced expertise. This course can be useful as it provides a strong foundation in using SAS for data analysis. The course covers statistical methods such as regression analysis, data visualization, and report generation. Moreover the course teaches advanced topics like SQL and macro programming. This course may be helpful but a Research Scientist role often requires an advanced degree.

See salaries and explore the career path for Research Scientist

Actuary

Actuaries assess financial risk for insurance and financial companies. This course introduces SAS programming, a key software for actuarial work; it also covers statistical analysis, regression, data reporting and visualization. The course’s topics on manipulating and analyzing data provides a core set of skills for an actuary. This course may be helpful, though actuarial roles generally require specialized training and exams.

See salaries and explore the career path for Actuary

Database Administrator

Database Administrators maintain and manage data storage systems, and this course may help them achieve that goal. Although this course focuses on data analysis rather than database administration, the course does provide some instruction in how to work with data using SQL, which is an important skill for a Database Administrator. The course's focus on data importing, data cleaning, and data manipulation may also be useful. Because this course doesn’t spend a substantial amount of time on database administration, this course may be helpful.

See salaries and explore the career path for Database Administrator

Reading list

We've selected two 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 SAS Programming - Learn SAS from Beginner to Advanced.

The Little SAS Book

Save

Highly recommended primer for learning SAS programming. It provides a concise and practical introduction to the SAS language, covering essential topics like data manipulation, statistical analysis, and report generation. It is commonly used as a textbook in introductory SAS courses. This book is particularly helpful for beginners as it simplifies complex concepts and provides clear examples.

SAS Certified Professional Prep Guide

Save

Is designed to help individuals prepare for the SAS Base Programming certification exam. It covers the key concepts and skills required for the exam, including data manipulation, statistical analysis, and report generation. It useful reference for those seeking to validate their SAS programming skills. This book provides practice questions and detailed explanations to help you master the material.

SAS Certified Professional Prep Guide: Advanced...

Paperback

$$$$

SAS Programming - Learn SAS from Beginner to Advanced

What's inside

Learning objectives

Syllabus

Traffic lights

Save this course

Reviews summary

Sas programming essentials with projects

Activities

Career center

Reading list

Share

Similar courses