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
Sponsored by RIA PAYMENT INSTITUTION
31,411 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
(935 reviews)
Intermediate level
Some related experience required
Flexible schedule
Approx. 25 hours
Learn at your own pace
95%
Most learners liked this course
Skills you'll gain
- Analytics
- Data Integration
- Data Transformation
- Statistics
- Data Management
- Big Data
- Data Analysis
- Data Manipulation
- Statistical Programming
- Data Mapping
- Business Analytics
- Data Architecture
- Data Engineering
- Extract, Transform, Load
- Data Science
- Data Processing
- Data Analysis Software
- Statistical Software
- Data Wrangling
- SAS (Software)
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
74 assignments
Taught in English
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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
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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
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Showing 3 of 935
MM
4
Reviewed on Dec 1, 2019
The course is very informative and interactive. Challenging and exciting, as it balances between theory and practicals. Looking forward to the last course of the series.
HR
5
Reviewed on Jul 10, 2019
Great second part of the 3 part SAS course. TIP: Print the syntax notes at the end of each week. They will help you take notes and keep track of what you are learning.
MM
5
Reviewed on Mar 15, 2019
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Recommended if you're interested in Data Science
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