SAS Training and Certification

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SAS Certification Training is designed to turn you into an SAS programming and analytics specialist. You will be able to analyze and develop SAS code for real-world situations, as well as learn how to utilize SAS to deal with datasets and execute advanced statistical procedures to get optimum outcomes using Advanced SAS programming.

Why This Course

SAS is a Gartner Magic Quadrant Leader for Data Science Platform in 2017.

Since 1976, SAS has assisted consumers at over 83,000 locations in making better decisions quicker.

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The average compensation for an SAS-skilled Business Intelligence Developer is $100,000. (Payscale salary data)

Why Enroll In Course?

SAS training and certification can advance your career by differentiating you from others and increasing job prospects. It also improves data analysis and management skills, leading to better productivity and problem-solving. Moreover, SAS certification showcases your expertise, connecting you with a global community of professionals to network and learn from. Overall, SAS training and certification provide the skills, knowledge, and recognition necessary to excel in data analysis and management.

Training Features

Live Interactive Learning

Lifetime Access

24x7 Support

Hands-On Project Based Learning

Industry Recognized Certification

Cloud

Course Curriculum

Getting started with SAS

Goal: This session will teach you how to use the SAS Environment and programme flow in SAS using Data and Proc step requirements. You will also learn how to install SAS University Edition on your machine.

Objective:

At the end of this module, you should be able to:

Install SAS University Edition
Express SAS as a language
Describe the rules for the definition of SAS names
Define the different data types, datasets in SAS
Explain the significance of Data/Procedural step
Run a simple SAS program
Exercise better control over Data Step Programming using PDV.

Topics:

Use Cases of SAS implementation
Installing SAS University Edition
Explore SAS GUI, SAS window and its contents
Rules for definition of a SAS name
Different Datatypes in SAS
Use of Formats and Informats in SAS
Illustration of SAS Datasets
The Data step and procedural step
Creating an Instream SAS Dataset
Basic Procedural statements
Assessing Input Buffer and Program Data Vector (PDV)

Hands On:

Navigating the SAS windows environment
Nuts and bolts of SAS programming steps
Converting data as per required format
Creating a dataset using CARDS
Generating the output using PROC PRINT

Processing and Integrating with the Data Step

Goal: This lesson teaches you how to import datasets and regulate their import into SAS before concatenating them.

Objective: At the end of this module, you should be able to:

Bring in your external data into SAS and modify it.
Describe and subset permanent datasets.
Modify/Delete existing columns
Concatenate Datasets

Topics:

Import of Data in SAS
Manipulating influx of datasets into SAS
Creating a new variable
Working with Temporary and Permanent Datasets
Set and Merge Statements

Hands On:

Demonstrating import of external data within SAS using INFILE
Demonstrating import of external data within SAS using PROC IMPORT
Creating Permanent Datasets
Performing operations with KEEP, DROP and RENAME and LABEL options
Constructing a new variable
Creating integrated datasets using SET/MERGE

Customizing Datasets

Goal: This topic explains looping and how it is implemented in the SAS programming language. You will investigate arrays and functions in order to ease complexities in SAS programming.

Objective: At the end of this module, you should be able to:

Demonstrate dependent and independent looping
Master data step programming with SAS functions
Simplify processing with SAS Arrays

Topics:

Conditional Iterative Processing
SAS Arrays
Useful SAS Functions

PUT/INPUT Functions

Date/Time Functions

Numeric Functions

Character Functions

Hands On:

Use of DO, DO WHILE, DO UNTIL, IF ELSE, ELSE, ELSE IF
Demonstrate the use of arrays in SAS
Operation with INPUT/PUT functions
Writing a Program with date/time functions
Performing programming with Numeric functions
Executing program with Character Functions

Advanced SAS Procedures

Goal: You will learn the analysis of your statistical data with advanced SAS procedures

Objective: At the end of this module, you should be able to:

Explain Statistical Procedures
Define priorities to your statistical data
Discuss statistics associated with a variable
Express correlation between two or more variables

Topics:

Proc Dataset
Proc Format
Proc Sort
Proc Means
Proc Freq
Proc Surveyselect
Proc Transpose
Proc Summary
Proc Rank
Proc Corr
Proc Univariate

Hands On:

Obtaining statistical means of variables
Checking the degree of dependence within different variables
Generating ranks for statistical data
Performing re-structuring of data
Conducting sampling: Random and Stratified

Advanced Statistical Proficiency with SAS

Goal: You will learn to model, estimate, and categorize occurrences based on dependent variable values. You will be taught how to use several clustering approaches to group your observations.

Objective: At the end of this module, you should be able to:

Define clustering and its types
Explain clustering algorithms
Nest data in different clusters
Analyze the regression between two or multiple variables
Model and estimate an event based on Logits

Topics:

Introduction to Clustering
Hierarchical Clustering
Non-Hierarchical Clustering (K means Clustering)
Simple and Multiple Linear Regression
Logistic Regression

Hands On:

Demonstrate the use of PROC CLUSTER
Writing a SAS advanced program with PROC FASTCLUS
Performing operations on regression with PROC REG
Demonstrate modeling using PROC LOGISTIC

Optimization of variables and SAS ODS

Goal: You will learn how to decrease the complexity of a problem by constructing and resolving optimization models and eventually routing comprehensive presentation output from SAS in desired formats and destinations.

Objective: At the end of this module, you should be able to:

Discuss data optimization
Acquire optimized models for complex problems
Resolve optimization models
Describe the Output Delivery System in SAS
Explain the use of ODS statement for creation of different file types

Topics:

What is Data Optimization?
Realizing Optimization Models
Using Proc Optmodel
Solving the Rosenbrock Problem
Introduction to ODS
Benefits of using ODS
Generating rtf file
Generating pdf file
Generating html file
Generating doc file

Hands On:

Writing a program with PROC OPTMODEL
Solving the optimization model using SOLVE
Extracting optimized outputs
Routing quality presentation files
Create html files
Create rtf file
Create pdf and doc files

PROC SQL

Goal: You will learn to invoke SQL in SAS.

Objective: At the end of this module, you should be able to:

Write SQL code using various styles of the SELECT statement
Use CASE/WHEN clauses for conditionally processing the data
Systemize appearance of observations
Join data from two or more data sets

Topics:

Creating new tables
The SELECT statement
Sorting Data
The CASE expression
Other SELECT statement clauses
JOINS and UNIONS

Hands On:

Demonstrating the SQL Procedure
Writing the SELECT clause
Application of WHERE clause
Merging Datasets
Using ORDER BY clause

Using SAS Macros

Goal: You will explore how to automate a complex repeated process in SAS with the use of Macros.

Objective: At the end of this module, you should be able to:

Define Macro Concept
Automate a task that you perform repeatedly
Explain Macro Step
Express Macro step as a combination of different variables

Topics:

Introduction to Macros
Benefits of using SAS Macros
Macro Code Constituents
Macro Variables
Macro Step
Positional Parameters to Macros

Hands On:

Demonstrate the use of Macro variables in SAS
Writing a Macro code to simplify a program
Demonstrate Macro step programming
Performing Macro coding by passing parameters

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Certification

EduCerts certification Process

After completing the project successfully (as reviewed by a EduCerts professional), you will be granted EduCerts's SAS Developer credential.

CertHippo certification is widely recognized in the industry, and we are the chosen training partner for many multinational corporations, including Cisco, Ford, Mphasis, Nokia, Wipro, Accenture, IBM, Philips, Citi, Ford, Mindtree, BNY Mellon, and others. Please be confident.

Online Training FAQs

How soon after Signing up would I get access to the Learning Content?

Upon enrollment, you will have immediate access to the LMS and will have it for the rest of your life. You will get access to all past class recordings, PPTs, PDFs, and assignments.

Is the course material accessible to the students even after the course training is over?

Absolutely, after you enroll in the course, you will have lifetime access to the course material.

Can I Attend a Demo Session before Enrolment ?

To maintain Quality Standards, we have a restricted number of participants in a live session. As a result, participation in a live class without enrollment is not feasible. But, you may listen to a sample class recording to get a good idea of how the lessons are run, the quality of the teachers, and the degree of engagement in the class.

What if I miss a class?

"With CertHippo, you will never miss a lecture!" You can select one of two options:

View the recorded session of the class available in your LMS.
You can attend the missed session, in any other live batch."

CertHippo Certification's Process

After completing the project successfully (as reviewed by a CertHippo professional), you will be granted CertHippo SAS Developer credential.

Course Description

About the Course

The SAS Training and Certification Course is intended to give the concepts and abilities of the SAS Programming language, tools, and numerous top statistical approaches necessary to become a successful Analytics practitioner. These methods can be used to perform sophisticated SAS programming. The course is supplemented with a number of interactive tasks, which improves learning effectiveness. This course will help you prepare for the following SAS certifications:

Course Objectives

You should be able to do the following by the conclusion of this course:

Perceive Analytics with SAS
Explain SAS GUI, datasets, import/export of manipulated data
Gain in-depth knowledge of integrating and refining datasets
Perform conditional and iterative looping into your SAS program
Simplify a SAS program with SAS arrays
Analyze statistics and perform advanced statistical techniques with SAS
Perform automation on complex repeated tasks using MACROS
Implement and invoke SQL queries in SAS program
Execute ODS statement with SAS
Build and solve models using PROC OPTMODEL

Course Objectives

You should be able to do the following by the conclusion of this course:

Perceive Analytics with SAS
Explain SAS GUI, datasets, import/export of manipulated data
Gain in-depth knowledge of integrating and refining datasets
Perform conditional and iterative looping into your SAS program
Simplify a SAS program with SAS arrays
Analyze statistics and perform advanced statistical techniques with SAS
Perform automation on complex repeated tasks using MACROS
Implement and invoke SQL queries in SAS program
Execute ODS statement with SAS
Build and solve models using PROC OPTMODEL

Who should go for this training?

Anybody who wants to study SAS programming may get started right now! The course is specifically created for students and professionals interested in pursuing a career in Data Analytics using SAS.

SAS Developers
Analytics Professionals

Those experts in the technological area who want to build a firm foundation in this commonly used Programming language can also enroll in this course.

Why Learn SAS?

EduCerts SAS training qualifies you as an ‘in demand’ SAS specialist, allowing you to land high-paying analytics jobs with hands-on skills and knowledge of data mining and management ideas.
SAS is the key analytics tool used by some of the largest KPOs, banks such as American Express and Barclays, financial services firms such as GE Money, KPOs such as Genpact and TCS, telecom corporations such as Verizon (USA), and consulting firms such as Accenture and KPMG.

What are the prerequisites for this Course?

Prior programming expertise and familiarity with fundamental concepts such as variables, flow-control, and functions, as well as basic understanding of Stats, would be desirable. But if you don’t have any and are determined, you’ll be OK.

Projects

What are the system requirements for this course?

SAS University Edition may be installed on Microsoft Windows 7 or later, Mac OS X 10.8 or later, and Linux operating systems. Hardware requirements: 64-bit hardware with at least 1 GB of Memory.

How will I execute the Practical's?

A complete installation guide for setting up the SAS University Edition software environment with lifetime validity is included in the LMS for conducting the practical's.

Which Case-Studies will be part of the course?

You will get the opportunity to work on an actual case study from the banking sector, which is one of the most data demanding businesses, near the conclusion of the course.

Industry: Banking

Data: Customer-level, Accounts-level and Transaction level

Problem-statement: Create a Customer Analytics Record This project is unusual in that, while it will be replicated for a bank, it has a far broader application across virtually all B2C (and even a few B2B) sectors.