SAS Certification
PRICE: 25,000
Sessions : 24       Hours: 192
Inclusive all of taxes
Data Science Using SAS is a must skill set for financial and banking analytics for most of the recruiters and bids for the highest amount of packages in analytics.

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SAS Certification Curriculum

Introduction to SAS Programming Working in SAS Environment 

Working with the windows

Ø  Program editor window

Ø  Log window

Ø  Output window

Ø  Result window

Ø  Explorer window

Overview of libraries

Ø  Datasets

Ø  Data view

Ø  Catalog

Ø  Referencing Files in SAS Libraries

Basic concepts

Ø  Creating a SAS Programs

Ø  Components of SAS Programs

Ø  Characteristics of SAS Programs

Ø  Layout of SAS Programs

Understanding Data step Processing

Ø  Program data vector(PDV)

Ø  Compilation Phase

Ø  Execution Phase

Ø  Creating a File shortcut with the File Shortcut Assignment Window

Ø  Making a file shortcut to a program

Ø  Deleting a file shortcut

Ø  Browsing and submitting a file shortcut for a SAS program

Ø  Viewing file shortcut properties


Ø  Methods for getting data into SAS can be put into four general categories:

ü  Entering data directly into SAS data sets

ü  Creating SAS data sets from raw data files

ü  Converting other software’s data files into SAS data sets

ü  Reading other software’s data file directly

Ø  Input Styles

ü  List input

ü  Column input

ü  Formatted input

ü  Modified/Mixing input

ü  Reading messy raw data

ü  Reading multiple lines of Raw Data per 

ü  Reading Multiple observations per line of raw data

ü  Reading Delimited file with Data Step

Ø  Assigning Variable Attributes

ü  Permanent Attributes 

ü  Temporary Variable Attributes

Ø  Arithmetic Functions
Ø  String Functions
Ø  Date & Time Functions

Conditional Statements
 Ø   Reading Raw Data from External File
ü  Infile Statement
ü  Import
ü  Export
Ø  Options
ü  Global Options
ü  Local Options
Ø  Statements
ü  Global Statements
ü  Local Statements
Ø  Control Statements
ü  If Statement and if else statement
ü  If then else statement
ü  Where statement
ü  Loops (do, dountil, dowhile)

Ø  Proc Print
Ø  Proc Transpose
Ø  Proc Contents
Ø  Proc Formats
Ø  Proc Append
Ø  Proc Tabulate
Ø  Proc Import
Ø  Proc Report
Ø  Proc Export
Ø  Proc Datasets
Ø  Proc Freq
Ø  Proc Means
Ø  Proc Reg
Ø  Proc Annova
Combining SAS Datasets
Ø    Concatenating
Ø    Merging
Ø    One-to-one merging
Ø    One-to-many merging
Ø    Many-to-one merging
Ø    Many-to-many merging
Ø    Matching merging
Ø    Updating
SAS Merging
Ø    Retrieving Data From Multiple Table
ü  Natural Merge
ü  Inner Merge
ü  Outer Merge (right, left, full)

Ø   Introduction to Proc SQL
Ø   Creating tables
Ø   Inserting data into tables
Ø   Alter the tables & etc…
Ø   Modifying the tables

Retrieving Data from Single Table

Ø  Integration of Database

Ø  Connecting to a DBMS Using the SQL Procedure Pass-Through Facility

Ø  Connecting to a excel Using the SQL Procedure Pass-Through Facility

Ø  Connecting to a access Using the SQL Procedure Pass-Through Facility

Ø  Connecting to a DBMS Using the Libname Statement

Debugging of Errors

Ø  Writing SAS programs that work

Ø  Fixing programs that Don’t work

Ø  Searching for the Missing Semicolon

Ø  Introduction to Macro Language Elements
Ø  Introduction to Macro Variables
Ø  Automatic Macro Variables
Ø  User defined Macro Variables
Ø  Introduction to Macro Processing
Ø  Macro Statements
Ø  Macro Functions

Introduction to Business Analytics

Ø  Relevance in industry and need of the hour

Ø  Types of analytics – Marketing, Risk, Operations, etc

Ø  Future of analytics and critical requirement

 Fundamental of Statistics

Ø  Basic statistics; descriptive and summary

Ø  Inferential statistics

Ø  Statistical tests

Data Prep & Reduction techniques

Ø  Need for data preparation

Ø  Outlier treatment

Ø  Flat-liners treatment

Ø  Missing values treatment

Ø  Factor Analysis

  • Statistics Basics Introduction to Data Analytics and Statistical Techniques
  • Types of Variables, measures of central tendency and dispersion
  • Variable Distributions and Probability Distributions
  • Normal Distribution and Properties
  • Central Limit Theorem and Application
  • Hypothesis Testing Null/Alternative Hypothesis formulation
  • One Sample, two sample (Paired and Independent) T/Z Test
  • P Value Interpretation
  • Analysis of Variance (ANOVA)
  • Chi Square Test
  • Non Parametric Tests (Kruskal-Wallis, Mann-Whitney, KS)
  • Correlation

  • Basics clustering
  • Deciles analysis
  • Cluster analysis (K-means and Hierarchical)
  • Cluster evaluation and profiling
  • Interpretation of results

  • Basics of regression analysis
  • Linear regression
  • Logistic regression
  • Interpretation of results
  • Multivariate Regression modeling

  • Time series modeling
  • PCA
  • Cross-sell and Up-sell opportunities and modeling
  • Churn prediction models and management

  • Credit risk scoring model using logistic regression
  • Credit risk scoring model using CHAID
  • Credit risk score, its interpretation and implementation

SAS Certification Reviews

Thanks for the Training & the Knowledge you delivered to me. This real time training is extremely helpful in my career growth. Best Infrastructure and the Best Team of Professional Trainers.

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Pawan Kajla

Nothing compares to Palin. Passionate. High standards. Leaders. Benchmarking excellence. Supportive. Got your back. Thriving. Encouraging growth. Fun. Laughter. Real outcomes. Community benefits.

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Prashant Kashyap

I opted sas course here and course content is awsome.I have done traning under tushar sir.Thank you Palin for enhancing my skills in SAS Certification. I Recommended Palin analytics!!!

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SAS Certification Project



Min 8+ years of industry Experience.For end to end implementation in analytics life cycle


Training as per industry requirement with mock interviews training


Designed by professionals according to industry requirement


Choose the timimg as per your convenience


For end to end implementation in analytics life cycle


Life time access for recorded sessions

Students Questions and answers

Anyone who wants to learn programming with SAS can start right away! The course is exclusively designed for students and professionals aspiring to make a career in Data Analytics with SAS. • SAS Developers • Analytics Professionals Other professionals, from technology field, willing to acquire a solid foundation of this widely-used Analytical language, can also opt for this course.

SAS (previously "Statistical Analysis System") is a software suite developed by SAS Institute for advanced analytics, multivariate analyses, business intelligence, data management, and predictive analytics

In view of the recent rise in the market of Data Science and Predictive Analytics, SAS seems to have a good future ahead. The future of SAS might go down if data scientists/ prediction analysts fail to deliver as expected.Learning R and Python in addition to SAS can help as a contingency plan, because many mid-level employers rely on open-source software. Many government departments and big corporations use SAS

It would be advantageous for you to have prior programming experience and familiarity with basic concepts such as variables, flow-control, and functions along with basic knowledge of Stats. But if you have none and are motivated you will do fine

Palin Analytics offers you both the training modes. You can opt either classroom or online.

Both the training modes are good to get trained. But online training is more better than the classroom training because online trainings are live interactive where you can raise your concerns at any point during the session. Additionally recording of the same session will be provided which you can access anytime anywhere.

Introduction to SAS Programming, Overview of libraries, Understanding Data step Processing, Functions, Conditional Statements, Procedures, Combining SAS Datasets, SAS Merging, Introduction to Business Analytics, Fundamental of Statistics, Data Prep & Reduction techniques, Customer Segmentation, Regression Modelling, Predictive Modeling & Forecasting, Tableau for reports, charts & dashboards and SQL

Almost every organisation which has a large customer base is shifting to SAS Analytics. Companies like Accenture, IBM, EXL, KPMG, AON, American Express, Bank of America, Cognizant are highly in need for SAS professionals.

On an average a fresher gets 4-6 LPA with a skill set of Data Science using SAS

We'll be starting from introduction to SAS programming and it's libraries to understand data step processing and working with files & databases. Then there will be advanced SAS learning which covers SAS/SQL & SAS Macro and advance statistical techniques to get hands on business analytics with regression modeling, Time Series analysis and then to understand business intelligence we cover Tableau, and SQL to understand data base

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