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After completing the SAS Programming assessments, learners qualify for a CPD QS accredited certificate from One Education.
The certificate is available in two formats: a PDF version for £9 or a printed hard copy delivered by post for £15.
SAS Programming Basic to Advanced
SAS Programming – Basic to Advanced introduces SAS programming from foundational concepts to advanced data analysis techniques. This course covers data manipulation, statistical procedures, reporting, and automation, helping learners develop a strong understanding of using SAS for data-driven analysis and reporting tasks.
SAS Programming Basic to Advanced
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16 hours, 31 minutes
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Overview of SAS Programming
This SAS Programming course introduces SAS Data Step fundamentals, data manipulation and conditional processing. Learners explore SAS Functions, arrays in SAS and structured workflows, building confidence in handling datasets efficiently.
The curriculum develops skills in PROC SQL, macro variables and error handling, covering data preparation, joins and optimisation. Clear instruction supports accurate coding, reusable logic and controlled processing across complex analytical tasks.
Learners also master PROC REPORT, ODS (Output Delivery System) and visual outputs. Emphasis on reporting, automation and performance ensures practical understanding of professional SAS programming techniques used across analytical environments.
Learning Outcomes of SAS Programming
- Understand the fundamentals of SAS programming and the SAS environment.
- Write and execute DATA steps to manage and transform datasets efficiently.
- Apply PROC procedures to analyse data and generate structured reports.
- Import, clean, and validate data from multiple sources using SAS tools.
- Use conditional logic and loops to automate data processing tasks.
- Perform basic statistical analysis and summarise findings accurately.
- Debug SAS programs and interpret logs to resolve errors effectively.
- Earn a CPD-accredited SAS Programming certificate to support career development.
Method Of Assessment
Learners complete an assignment designed to evaluate their understanding of the course content. The assignment is reviewed by qualified tutors who provide personalised feedback, allowing learners to demonstrate their applied knowledge and skills.
Certification
Why Study This SAS Programming?
SAS programming skills are in strong demand across data analytics, healthcare, finance, and research-driven industries. Organisations rely on SAS to manage large datasets, perform statistical analysis, and generate accurate insights that support evidence-based decision-making.
Studying SAS Programming strengthens analytical capability, improves data handling confidence, and builds a solid understanding of industry-standard statistical tools. CPD certification highlights professional development, supports career progression in data-focused roles, and adds measurable value to your CV in an increasingly data-led job market.
Course Duration
The SAS Programming Course has a total learning time of 16 hours and 31 minutes. The content is organised into structured modules that allow learners to progress steadily through the material, with completion time varying depending on individual study habits, prior knowledge, and overall commitment.
Requirements
The SAS Programming course has straightforward entry requirements and is open to learners from diverse backgrounds. A basic understanding of data handling, statistics, or computer-based work is helpful, though not essential. An interest in data analysis and a willingness to learn structured programming concepts will support progress throughout the course. The training is delivered fully online and can be accessed from any internet-enabled device, allowing learners to study from home with flexibility around their existing commitments.
Career Path
- SAS Programmer: £30,000 – £50,000 per year
- Clinical SAS Programmer: £40,000 – £65,000 per year
- Data Analyst (SAS): £35,000 – £55,000 per year
- Statistical Programmer: £38,000 – £60,000 per year
- Business Intelligence Analyst (SAS): £42,000 – £65,000 per year
- Senior SAS Consultant: £55,000 – £80,000 per year
Frequently Asked Questions
SAS Programming is used for data analysis, statistical modelling, data management, and reporting across industries such as healthcare, finance, pharmaceuticals, and research.
Yes, SAS Programming is beginner-friendly and structured, making it suitable for learners with no prior programming experience.
Basic numerical understanding is helpful, but advanced mathematics is not required to learn SAS Programming effectively.
Learning time varies, but foundational SAS concepts can be understood within a few weeks with consistent study.
SAS is widely used in healthcare, clinical research, banking, insurance, market research, and government sectors.
Yes, SAS skills remain in demand, particularly in data analysis, clinical data management, and risk analysis roles.
Course Curriculum
| Unit - 1 | |||
| Section 0-00- Why SAS | 00:01:00 | ||
| Section 0-01- Course Overview | 00:02:00 | ||
| Unit - 2 | |||
| Section 2-01- Why is SAS so easy to learn | 00:03:00 | ||
| Section 2-02- SAS University Edition – download and install | 00:10:00 | ||
| Section 2-03- Logging-in to SAS after installation | 00:01:00 | ||
| Section 2-04- SAS Interface and windows | 00:06:00 | ||
| Unit - 3 | |||
| Section 3-00- Preparing Data – Section Overview | 00:01:00 | ||
| Section 3-01- SAS Datasets Variables and Obs | 00:09:00 | ||
| Section 3-02- SAS Libraries | 00:05:00 | ||
| Section 3-04- Lib Naming Conventions | 00:05:00 | ||
| Section 3-05- SAS Dataset naming conventions | 00:04:00 | ||
| Section 3-06- SAS Prog syntax | 00:07:00 | ||
| Section 3-07- Data and proc step | 00:03:00 | ||
| Section 3-08- Referencing data in sas | 00:05:00 | ||
| Section 3-09-01- Bringing data into SAS | 00:16:00 | ||
| Section 3-09-02- Bringing data into SAS using LIBNAME statement | 00:05:00 | ||
| Section 3-09-03- Bringing data into SAS using FILENAME | 00:05:00 | ||
| Section 3-09-04- Bringing data into SAS using DELIMITER option | 00:03:00 | ||
| Section 3-09-05- Bringing data into SAS using DSD option | 00:08:00 | ||
| Section 3-09-06- Bringing data into SAS using column input | 00:04:00 | ||
| Section 3-09-07- Bringing data into SAS using the col pointer | 00:02:00 | ||
| Section 3-09-08- Bringing data into SAS using the line pointer# | 00:07:00 | ||
| Section 3-09-09- Bringing data into SAS using the line slash | 00:02:00 | ||
| Section 3-09-10- Bringing data into SAS using the trailing@ | 00:03:00 | ||
| Section 3-09-11- Bringing data into SAS using the trailing @@ | 00:02:00 | ||
| Section 3-09-12- Bringing data into SAS using Proc Import xls | 00:07:00 | ||
| Section 3-09-13- Bringing data into SAS using Proc Import txt | 00:05:00 | ||
| Section 3-10- Creating new vars | 00:13:00 | ||
| Section 3-10-1- Keep, Drop and Rename variables | 00:03:00 | ||
| Section 3-11-If-else conditional statements | 00:16:00 | ||
| Section 3-12- Filtering data | 00:11:00 | ||
| Section 3-13- Sas dates | 00:07:00 | ||
| Section 3-14-01- SAS functions 1 | 00:22:00 | ||
| Section 3-14-02- SAS functions 2 | 00:17:00 | ||
| Section 3-15-01-SAS Formats – Introduction | 00:03:00 | ||
| Section 3-15-02-SAS Format Statement | 00:05:00 | ||
| Section 3-15-03-Format Naming Convention | 00:09:00 | ||
| Section 3-15-03-Format using Put function | 00:10:00 | ||
| Section 3-16-02-Proc Format | 00:17:00 | ||
| Section 3-16-SAS Informats | 00:14:00 | ||
| Section 3-17-01-Program Data Vector- PDV | 00:06:00 | ||
| Section 3-17-02-PDV Implicit Output | 00:15:00 | ||
| Section 3-17-03-PDV Explicit Output | 00:17:00 | ||
| Section 3-18- Do Loops | 00:04:00 | ||
| Unit - 4 | |||
| Section 4-00- Structuring Data – Section Overview | 00:01:00 | ||
| Section 4-01-01-Stacking data using a data step | 00:06:00 | ||
| Section 4-01-02-Stacking data using PROC APPEND | 00:15:00 | ||
| Section 4-01-03-Interleaving data | 00:09:00 | ||
| Section 4-02 – Sorting data using PROC SORT | 00:15:00 | ||
| Section 4-03-01-Removing duplicates-NODUP option | 00:11:00 | ||
| Section 4-03-02-Removing duplicates-NODUPKEY option | 00:11:00 | ||
| Section 4-04-01-Simple merging of data | 00:09:00 | ||
| Section 4-04-02-Merging data using Joins-Introduction | 00:08:00 | ||
| Section 4-04-03-Merging data using joins-Inner Join | 00:16:00 | ||
| Section 4-04-04-Merging data using Joins-Full Join | 00:07:00 | ||
| Section 4-04-05-Merging data using Joins-Left Join | 00:06:00 | ||
| Section 4-04-06-Merging data using Joins-Right Join | 00:04:00 | ||
| Section 4-04-07-Merging data using Joins-Far Joins | 00:06:00 | ||
| Section 4-05-01-Proc SQL – copying data | 00:13:00 | ||
| Section 4-05-02-Proc SQL – filtering data | 00:07:00 | ||
| Section 4-05-03-Proc SQL – sorting data | 00:08:00 | ||
| Section 4-05-04-Proc SQL – removing duplicates | 00:05:00 | ||
| Section 4-06-01-Transposing data using ID statement | 00:13:00 | ||
| Section 4-06-02-Transposing data using BY statement | 00:14:00 | ||
| Section 4-07-01-Retain statement – introduction | 00:07:00 | ||
| Section 4-07-02-Retain statement – how it is used | 00:06:00 | ||
| Section 4-07-03-Retain statement – an example | 00:08:00 | ||
| Unit - 5 | |||
| Section 5-00- Visualizing Data – Section Overview | 00:01:00 | ||
| Section 5-01-01-Charts – vbar hbar pie | 00:11:00 | ||
| Section 5-01-02-Vertical Bar Chart – discrete option | 00:10:00 | ||
| Section 5-01-03-Horizontal Bar Chart – discrete option | 00:02:00 | ||
| Section 5-01-04-Vertical Bar Chart – groups and subgroups | 00:11:00 | ||
| Section 5-01-05-Horizontal Bar Chart – groups and subgroups | 00:03:00 | ||
| Section 5-02- Plots | 00:05:00 | ||
| Section 5-03-Report Output using PROC PRINT | 00:06:00 | ||
| Section 5-04-Report Output using PROC REPORT | 00:13:00 | ||
| Section 5-06-Summary stats – PROC FREQ | 00:08:00 | ||
| Section 5-06-Summary stats – PROC MEANS | 00:03:00 | ||
| Section 5-06-Summary stats – PROC UNIVARIATE | 00:02:00 | ||
| Section 5-07- Output Delivery System (ODS) – Reports | 00:02:00 | ||
| Section 5-07-01- ODS with PROC FREQ | 00:04:00 | ||
| Section 5-07-02- ODS with PROC MEANS | 00:02:00 | ||
| Section 5-07-03- ODS with PROC UNIVARIATE | 00:04:00 | ||
| Unit - 6 | |||
| Section 6-00- Optimizing Code – Section Overview | 00:01:00 | ||
| Section 6-01-Macro Variables – introduction | 00:14:00 | ||
| Section 6-02-Application of macro variables | 00:13:00 | ||
| Section 6-03-01-Nested macro vars | 00:11:00 | ||
| Section 6-03-02-More on Ampersand resolutions | 00:09:00 | ||
| Section 6-04-00-SAS Macros – introduction | 00:10:00 | ||
| Section 6-04-01-SAS Macros – Examples | 00:07:00 | ||
| Section 6-05-Macro Functions | 00:12:00 | ||
| Section 6-06-Bonus lecture | 00:02:00 | ||
| Resources | |||
| Resources – SAS Programming Basic to Advanced | 00:00:00 | ||
| Assignment | |||
| Assignment -IT Professional 2.0 Take Your Career To The Next Level | 05:00:00 | ||
With a team of industry professionals producing and delivering our course content, you can be sure the skills and knowledge you learn are applicable to your career aspirations, whether that’s in management, administration or beyond.
