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CoursesData Analytics And Bi TrainingSAS Adv Certification Training
Data Analytics And Bi Training
SAS Adv Certification Training
With SAS Advanced Certification Training by Techpratham, you can learn advanced SAS programming concepts for analyzing, optimizing, and reporting on data. Get better at macros, SQL processing, and working with complicated data.
5/5(4,890 Reviews)

Level

Advanced

Duration

8 Weeks

What is SAS Adv Certification Training?
This training goes deeper into advanced SAS programming techniques than the basic level. You will learn how to use SAS Macros, SQL joins, optimization, advanced functions, and how to fix bugs. The course teaches you how to work with big datasets, automate tasks, and make reports more useful. At the end, you'll be ready for the SAS Advanced Certification Exam and jobs that require advanced analytics skills.
Training Plan

About trainer

Working professional who is carrying more then 10 years of industry experience.

Decks

The candidate will get access to the presentation taken-up during the session.

Notes

Consolidated notes in word document.

Assignments

Assignments for every module will be covered.

MCQs

MCQs for every module covered in the session would be provided.

Video Recording

Daily Session would be recorded and shared to the candidate.

Dumps for Certification

We will provide dumps for the certification exam, which will help you to prepare for the exam.

Updated Content

We provide Generative AI Driven content By experts.

Projects

3 Live Projects will be provided for practice.

SAS Adv Certification Training Course Curriculum
.

Advanced Data Manipulation
Section 1

Learn complex data step programming for large datasets.
DO loops & arrays
Retain & lag functions
First. & Last. processing
Conditional data handling
.

Advanced Data Handling Techniques
Section 2

Learn how to manipulate complex data with DATA step programming.
Retain statement & first./last. variables
Arrays and DO loops
Data step debugging tools
Using automatic variables (N, ERROR, etc.)
.

Working with SAS Functions
Section 3

For effective data transformation, use sophisticated SAS functions.
Character functions (SCAN, INDEX, COMPRESS)
Date/time functions (INTNX, INTCK, MDY)
Date/time functions (INTNX, INTCK, MDY)
Nested functions in programming
.

Advanced Data Combining Methods
Section 4

Combine and restructure data efficiently.
One-to-one, one-to-many merges
Complex joins using multiple BY variables
Complex joins using multiple BY variables
PROC TRANSPOSE for reshaping data
.

PROC SQL in SAS
Section 5

Perform SQL-based data queries inside SAS.
Basics of PROC SQL (SELECT, WHERE, GROUP BY)
SQL joins (inner, outer, self-joins)
Subqueries and set operators
Creating tables, views, and indexes
Comparing PROC SQL vs DATA step
.

SAS Macros Programming
Section 6

Automate repetitive tasks with macros.
Macro variables & macro functions
Creating and calling macros
Conditional logic in macros (%IF-%ELSE)
Iterative macros with %DO loops
Debugging and macro symbol tables
.

Advanced Reporting & Output Delivery System (ODS)
Section 7

Generate customized reports and export results
PROC REPORT and PROC TABULATE
ODS destinations (HTML, PDF, RTF, Excel)
ODS destinations (HTML, PDF, RTF, Excel)
Automated reporting with macros
.

Efficiency and Optimization in SAS
Section 8

Improve performance of SAS programs for large datasets.
Indexing datasets
Compressing data for storage efficiency
Compressing data for storage efficiency
Best practices in writing efficient SAS code
.

Capstone Project & Certification Preparation
Section 9

Apply advanced SAS skills to real-world problems and prepare for certification.
Business case study (e.g., customer churn, risk analytics
Mock certification exam practice
Hands-on project (data cleaning → analysis → reporting)
Tips & strategies for SAS Advanced exam success
.

Advanced Data Step Programming
Section 10

Work with sophisticated data manipulation techniques.
Mock tests and past exam question practice
Exam-taking strategies and time management
Capstone project (end-to-end: data prep → analysis → report)
Presentation of project insights
Key Projects
SAS Adv Certification Training
Automated Sales Reporting Dashboard
Create a reporting system that uses SAS macros to automatically process sales data and make reports every day or week. Use PROC SQL and macros to make a dashboard that can be changed to get quick information.
Customer Segmentation using SQL & SAS Procedures
Use PROC SQL and PROC SUMMARY to group customers based on how they buy things. Make summary reports and insights that can be used to plan targeted marketing campaigns.
Data Optimization for Healthcare Records
Use a large healthcare dataset to make data storage more efficient, speed up processing, and make reports for patients. For better performance, use indexing, compression, and SQL joins.

SAS Adv Certification Training – Associate Training Program

Category
Associate
Exam Name:
SAS Adv Certification Training – Associate
Exam Code:
N.A.
Exam Duration:
N.A.
Exam Format:
N.A.
Passing Score:
N.A.
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Google Review
"My experience with Tech Pratham Institute has been excellent. The course content is well-updated according to industry standards, with a strong focus on practical learning. The faculty members are knowledgeable and very supportive, always clearing doubts with patience."
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"I had an excellent experience with Tech Pratham's data analytics training program. The course content was well-structured, up-to-date, and highly practical, covering tools like Excel, SQL, Python, and Power BI. Thanks to Tech Pratham, I now feel confident in my data analytics skills and have even landed my first job in the field."
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Frequently Asked Questions (FAQs)

Who should pursue the SAS Advanced Certification Training?

This course is for people who already have SAS Base Certification or something similar. It is perfect for data analysts, programmers, and statistical modelers who want to focus on automation, SQL integration, and advanced reporting.

Who should take this training?

Experts who are already familiar with Base SAS Statisticians, business analysts, and data analysts Healthcare practitioners and clinical researchers Professionals or students getting ready for the SAS Advanced Certification

Do I need to complete Base SAS certification before Advanced?

Although having the Base SAS certificate is not required, you must be well-versed in the Base SAS concepts (DATA step, PROC step, importing/exporting data, and data manipulation).

What are the prerequisites for SAS Advanced Certification Training?

Familiarity with Base SAS programming Basic understanding of data handling and reporting Interest in automation, macros, and SQL

What skills will I gain from this training?

Complex DATA step programming intricate data transformations and manipulations PROC SQL joins and queries Automation through macro programming Methods of efficiency for big datasets Using ODS to create personalized reports

What is the exam format for SAS Advanced Certification?

Code of Exam: A00-232 Format: Short-answer and multiple-choice questions It lasts for 135 minutes. About 60–65 questions Approximately 65–70% is the passing score. (differs depending on the version) Delivery options include online proctoring or Pearson VUE testing facilities.

What career opportunities are available after certification?

SAS Developer/Programmer Data Scientist/Data Analyst Clinical SAS Programmer in Healthcare and Pharmacy Risk and Fraud Analyst (Banking/Finance) Business Intelligence Analyst

Is SAS still in demand compared to Python and R?

Indeed. Despite the widespread use of Python and R, SAS continues to dominate regulated sectors such as government, banking, healthcare, and pharmaceuticals because of official validation requirements, compliance, and dependability.

How long is the training duration?

Usually 8–10 weeks, depending on whether you select a fast-track, weekend, or regular batch.

Will I get placement assistance after the training?

Numerous organizations, such as TechPratham, offer placement assistance, interview training, and resume building in the analytics, pharmaceutical, and BFSI fields.

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