This course is for business analysts and SAS programmers who want to learn data manipulation techniques using the SAS DATA step and procedures to access, transform, and summarize data. The course builds on the concepts that are presented in the Getting Started with SAS Programming course and is not recommended for beginning SAS software users.
Doing More with SAS Programming
Doing More with SAS Programming
This course is part of SAS Programmer Professional Certificate
Instructor: Stacey Syphus
31,156 already enrolled
Included with 
Gain insight into a topic and learn the fundamentals.
4.8
(933 reviews)
Intermediate level
Some related experience required
Flexible schedule
Approx. 25 hours
Learn at your own pace
95%
Most learners liked this course
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
74 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your Data Analysis expertise
This course is part of the SAS Programmer Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from SAS
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 8 modules in this course
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.
What's included
2 videos3 readings
In this module, we dig deeper into the DATA step. You learn how the DATA step processes data behind the scenes. Then you use this knowledge to control when and where the DATA step outputs rows to new tables.
What's included
14 videos1 reading9 assignments
In this module, you learn new syntax that enables you to alter the default behavior of the DATA step to solve a problem. First you learn to create an accumulating column, or in other words generate a running total. Then you learn to process data in groups, so you can perform an action when each group begins or ends.
What's included
10 videos1 reading11 assignments
In this module, you learn to use some new functions that enable you to manipulate numeric, date, and character values. In addition, you learn to use functions that change a column from one data type to another.
What's included
24 videos5 readings18 assignments
In this module, you learn to create and use custom formats to enhance the way your data is displayed in a table or report.
What's included
8 videos1 reading10 assignments1 discussion prompt
In this module, we take a comprehensive look at combining tables by using the DATA step. You learn to concatenate tables, merge tables, and identify matching and nonmatching rows.
What's included
14 videos1 reading10 assignments
In this module, you learn to save time by taking advantage of iterative processing with DO loops. First you learn to create an iterative DO Loop, then you learn to create conditional DO loops.
What's included
11 videos1 reading7 assignments
In this module, you learn techniques that can be used to transpose or restructure a table. First you learn to restructure data with the DATA step. Then you learn to restructure data by using the TRANSPOSE procedure.
What's included
10 videos1 reading9 assignments
Instructor
Instructor ratings
4.9 (186 ratings)Offered by
Recommended if you're interested in Data Analysis
University of Leeds
Johns Hopkins University
Johns Hopkins University
Johns Hopkins University
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
Showing 3 of 933
4.8
933 reviews
- 5 stars
85.65%
- 4 stars
12.52%
- 3 stars
1.60%
- 2 stars
0%
- 1 star
0.21%
New to Data Analysis? Start here.
Open new doors with Coursera Plus
Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.