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SAS Training and Certification

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)

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Instructor-led live online classes

SAS Training and Certification

Self paced classes

$399  $319

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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

  World-Class Instructors

  Expert-Led Mentoring Sessions

  Instant doubt clearing

Lifetime Access

  Course Access Never Expires

  Free Access to Future Updates

  Unlimited Access to Course Content

24x7 Support

  One-On-One Learning Assistance

  Help Desk Support

  Resolve Doubts in Real-time

Hands-On Project Based Learning

  Industry-Relevant Projects

  Course Demo Dataset & Files

  Quizzes & Assignments

Industry Recognized Certification

  CertHippo Training Certificate

  Graded Performance Certificate

  Certificate of Completion

Cloud

  Preconfigured Lab Environment

  Infrastructure with Tools and Software

  Single Sign-On

About your AWS Course

AWS Solutions Architect Course Skills Covered

Managing Security

Designing Data Storage Solutions

Monitoring Cloud Solutions

Designing Resilient AWS Solutions

AWS Cloud Cost Optimization

Designing Identity Solutions

Course Curriculum

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

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


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


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

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


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


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

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

After completing the project successfully (as reviewed by a Certhippo professional), you will be granted Certhippo'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

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.

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

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.

"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."

After completing the project successfully (as reviewed by a CertHippo professional), you will be granted CertHippo 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, BNYMellon, and others. Please be confident.

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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?

  • CertHippo 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.

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Projects

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.

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.

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.

Selenium Certification

After completing the project successfully (as reviewed by a Certhippo professional), you will be granted Certhippo'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.

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