The Simplest Guide to SAS Programming -Base and Advanced




Course Overview:
Welcome to “The Simplest Guide to SAS Programming – Base and Advanced” on Course Plus! This comprehensive course is tailored to guide both beginners and experienced professionals through the essentials of SAS programming, from foundational concepts to advanced techniques. Through hands-on projects like “Project Cars” and “Project Heavy-weight,” you’ll master data preparation, structuring, visualization, and optimization in SAS. Whether you’re an aspiring data analyst or a seasoned programmer looking to enhance your skills, this course offers the tools and insights needed to excel.
Why Enroll in this Course?
Discover the power of SAS programming with this all-inclusive guide offered by Course Plus. Whether you’re new to programming or an experienced professional, this course ensures a seamless learning journey with a user-friendly approach. Gain expertise in data preparation, visualization, and optimization while working on real-world projects designed to reinforce your knowledge. With detailed chapters on topics like PROC SQL, data merging, and SAS Macros, you’ll unlock the full potential of SAS for data analysis. Equip yourself with the skills that are highly sought after in data science and analytics, and elevate your career prospects. Join today to access lifetime content and support from a global community of learners.
Investment Value:
- Affordable lifetime access to comprehensive SAS programming resources.
- Learn advanced concepts like macros and SQL at your own pace.
- Enhance your employability in the high-demand field of data analytics.
- Real-world projects to bridge theory and practice.
- Lifetime updates and support to stay current with industry trends.
Technical Specifications:
- Course access via desktop, tablet, or mobile.
- Access to a community forum for peer support.
- Compatibility with SAS Studio and SAS OnDemand for hands-on practice.
Learning Outcome
- Master SAS programming fundamentals and advanced techniques.
- Learn to prepare, structure, and analyze data effectively.
- Gain expertise in PROC SQL for advanced data manipulation.
- Understand data visualization using charts, plots, and summary statistics.
- Develop custom macros to optimize code efficiency.
- Apply advanced data import/export methods using SAS.
- Explore real-world case studies for hands-on experience.
- Learn best practices for coding and debugging in SAS.
- Enhance your ability to work with SAS libraries and datasets.
- Build a robust portfolio with projects like “Project Heavy-weight.”
Conclusion
Course Plus’s “The Simplest Guide to SAS Programming – Base and Advanced” is your gateway to mastering data analysis with SAS. With step-by-step lessons, real-world projects, and advanced topics like macros and PROC SQL, this course caters to learners at every stage. Whether you’re starting out or upgrading your skills, join Course Plus to unlock your potential and thrive in the data-driven world.
Next Steps:
- Register on Course Plus platform
- Access course materials
- Join community discussions
- Earn certification
Course Curriculum
Introduction and Overview
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Course Overview
05:00 -
Why SAS
02:00
Getting started with SAS Programming
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Why is SAS so easy to learn
01:00 -
SAS Studio through SAS OnDemand- Registration
05:00 -
Logging-in to SAS after installation
01:00 -
SAS Interface and windows
01:00
Preparing Data
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Preparing Data – Section Overview
11:00 -
SAS Dataset, Variables and Observations
04:00 -
SAS Libraries
02:00 -
Lib Naming Conventions
12:00 -
Dataset Naming Conventions
11:00 -
SAS Program Syntax
10:00 -
SAS Data Step and Proc Step
11:00 -
Referencing data in sas
08:00 -
Bringing data into SAS
04:00 -
Bringing data into SAS using Import Wizard
09:00 -
Bringing data into SAS using LIBNAME statement
01:00 -
Bringing data into SAS using FILENAME
03:00 -
Bringing data into SAS using DELIMITER option
01:00 -
Bringing data into SAS using DSD option
03:00 -
Bringing data into SAS using column input
01:00 -
Bringing data into SAS using the column pointer
14:00 -
Bringing data into SAS using the line pointer#
01:00 -
Bringing data into SAS using the line slash
09:00 -
Bringing data into SAS using the trailing@
01:00 -
Bringing data into SAS using the trailing double @@
05:00 -
Bringing data into SAS using Proc Import xls
02:00 -
Bringing data into SAS using Proc Import txt
03:00 -
Creating new variables
03:00 -
Creating new variables – code
04:00 -
Keeping, Dropping and Renaming Variables in a Dataset
01:00 -
If-else conditional statements – deriving BMI variable
06:00 -
If-else conditional statements – deriving status variable
01:00 -
Filtering data
09:00 -
SAS Dates
05:00 -
SAS Functions – Upcase
05:00 -
SAS Functions – Lowcase, Propcase, Len, Cat
05:00 -
SAS Functions – Substr
07:00 -
SAS Functions -Trim, Left, Strip, Compress, Compbl
03:00 -
SAS Formats – Introduction
05:00 -
SAS Format Statement
12:00 -
Format Naming Convention
04:00 -
Format using the PUT function
06:00 -
SAS Informats
06:00 -
SAS Informats – code
04:00 -
Custom formats using Proc Format
08:00 -
Custom formats using Proc Format – code
05:00 -
Program Data Vector- PDV
02:00 -
Implicit Output- Descriptor portion
08:00 -
Implicit Output – var and data portion
03:00 -
Explicit Output
04:00 -
Explicit Output – code
03:00 -
Do Loops
07:00 -
Project Cars- Introduction
05:00 -
Project Cars- Assignment 1- Statement
05:00 -
Project Cars- Assignment 1 – Solution
09:00 -
Module Conclusion-preparing data
03:00
Structuring Data
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Structuring Data – Section Overview
05:00 -
Stacking Data using a Data Step
12:00 -
Stacking Data using PROC APPEND
12:00 -
Stacking Data using PROC APPEND- code
07:00 -
Interleaving of data
10:00 -
Sorting Data using PROC SORT
08:00 -
Sorting Data using PROC SORT – multi-level sorting
05:00 -
Removing duplicates -NODUP Option
13:00 -
Removing duplicates -NODUPKEY Option
03:00 -
Simple merging of data
06:00 -
Merging data using Joins-Introduction
10:00 -
Merging data using Inner Join
09:00 -
Merging data using Inner join – code
07:00 -
Merging data using Full Join
08:00 -
Merging data using Left Join
06:00 -
Merging data using Right Join
12:00 -
Merging data using “far” joins
06:00 -
PROC SQL – ing data
05:00 -
Proc SQL – ing data – code
10:00 -
PROC SQL – filtering data
06:00 -
PROC SQL – sorting data
12:00 -
PROC SQL – removing duplicates
05:00 -
Transposing data – ID Statement
02:00 -
Transposing data – ID Statement – code
02:00 -
Transposing data – BY statement
05:00 -
Transposing data – BY statement – code
02:00 -
Retain Statement – Introduction
02:00 -
Retain Statement – how to use
06:00 -
Retain Statement – Example
08:00 -
Project Cars- Assignment 2- Statement
07:00 -
Project Cars- Assignment 2- Solution
10:00 -
Conclusion structuring data
08:00
Visualizing Data
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Visualizing Data – Section Overview
07:00 -
Charts – Introduction – Vertical Bar Chart
12:00 -
Charts – Horizontal Bar and Pie Charts
11:00 -
Vertical bar chart – DISCRETE option
09:00 -
Horizontal bar chart – DISCRETE option
08:00 -
Vertical bar chart – groups and subgroups
09:00 -
Horizontal bar chart – groups and subgroups
08:00 -
Plots
08:00 -
Report Output using PROC PRINT
07:00 -
Report Output using PROC REPORT – DISPLAY option
04:00 -
Report Output using PROC REPORT – ORDER & GROUP option
07:00 -
Summary statistics – PROC FREQ
09:00 -
Summary statistics – PROC MEANS
05:00 -
Summary statistics – PROC UNIVARIATE
07:00 -
Output Delivery System (ODS) – Report Formats
09:00 -
ODS with Proc Freq
06:00 -
ODS with Proc Means
04:00 -
ODS with Proc Univariate
09:00 -
Project Cars- Assignment 3- Statement
10:00 -
Project Cars- Assignment 3- Solution
05:00 -
Conclusion visualizing data
08:00
Optimizing Code
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Optimizing Code – Section Overview
07:00 -
Macro Variables – Introductionduction
09:00 -
Macro Variables – Introductionduction – code
02:00 -
Application of Macro variables
06:00 -
Application of Macro variables – code
01:00 -
Nested macro variables and ampersand resolutions
01:00 -
More on Ampersand resolutions using a cool example
05:00 -
SAS Macros – Introductionduction
05:00 -
SAS Macros – Examples
10:00 -
Macro Functions
02:00 -
Macro Functions – code
12:00 -
Project Cars- Assignment 4- Statement
04:00 -
Project Cars- Assignment 4- Solution
05:00 -
Conclusion optimizing code
07:00
Practice Exercise | Case Study
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Project Heavy-weight – Introduction
08:00 -
Project Heavy-weight – Project 1 -Statement
05:00 -
Project heavy-weight- Project 1 – Solution
09:00 -
Project Heavy-weight – Project 2 – Statement
04:00 -
Project Heavy-weight -Project 2 – Solution
03:00 -
Project Heavy-weight – Project 3 – Statement
03:00 -
Project Heavy-weight – Project 3 – Solution
05:00
Student Ratings & Reviews
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LevelIntermediate
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Duration13 hours 13 minutes
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Last UpdatedFebruary 26, 2025
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Material Includes
- 24/7 Support
- Online e-learning platform
- Interactive modules
- Video-based instruction
- Practical exercises
- Certification (on demand)
- Assessment on demand
Requirements
- Minimum age: 18 years
- Access to a computer with internet
- Willingness to learn and engage
Target Audience
- Beginners with no prior experience in programming.
- Data analysts aiming to expand their toolkit.
- Professionals transitioning into data science and analytics.
- Students pursuing careers in statistics and business intelligence.
- Researchers needing powerful tools for data analysis.
- Programmers looking to specialize in SAS.

