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CCNA Training in Noida

SAS Training in Noida Delhi NCR

 

Course Objective

 

Training Basket Noida is providing the Best SAS Certification training in Noida.

SAS Certification training is meant to transform and skill you in SAS programming and Analytics. You will be able to analyse and write SAS code for real issues, learn to use SAS to figure with datasets, perform advanced applied mathematics techniques to get optimized results with SAS programming.

TRY DEVELOPING A PASSION FOR LEARNING. BECAUSE IF YOU DO SO, YOU WILL NEVER CEASE TO GROW

Why should you take SAS?

  • SAS is a Leader in 2017 Gartner Magic Quadrant for Data Science Platform
  • Since 1976, SAS has helped customers at more than 83,000 sites make better decisions faster.
  • The average salary for a Business Intelligence Developer skilled in SAS is $100k (Payscale salary data)
 

Upon the successful completion of this training period, you will work on a project where you will implement different elements you learned in the training.

 

Course Training Plan

Key Features

Biggest pool of Industry Experts

Certified experts with rich training experience

Z

Real-life Case Studies

Live project based on any of the selected use cases, involving implementation of the concepts

Instructor led Classroom Training

This isn’t canned learning. Its dynamic, its interactive, its effective

Dedicated Job-Portal

500+ Recruiter Connect for 100% placement assistance

k

Instructor led Classroom Training

b

24 x 7 Expert Support

Course Details

Getting started with SAS

Goal: In this module, you will learn to use the SAS Environment and program flow in SAS with specifications of Data and Proc steps. Also, you will learn to install SAS University Edition on your system.

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 datatypes, 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 module introduces you to import datasets and control the import of datasets into SAS and ultimately concatenating them.

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

• Bring in your external data into SAS and modifying 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 module introduces the concept of looping and its implementation in the SAS programming language. You will explore arrays and functions to simplify complications 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 classify events based on the values of dependent variables. You will be taught to perform different types of clustering methodologies to bunch 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 

• Analyse 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 modelling using PROC LOGISTIC

Optimization of variables and SAS ODS

Goal: You will learn to reduce the degree of complexity of a problem by developing& resolving optimization models and ultimately routing detailed presentation output from SAS in desired formats and destination. 

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

Optimization of variables and SAS ODS

Goal: You will learn to reduce the degree of complexity of a problem by developing& resolving optimization models and ultimately routing detailed presentation output from SAS in desired formats and destination. 

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

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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Frequently Asked Questions 

WHY SHOULD WE GO FOR CLASSROOM INSTRUCTOR-LED TRAINING INSTEAD OF ONLINE TRAINING?

Classroom Instructor-led training is much more effective than online training. The face-to- face classroom sessions not only make you more focused but also more employable in the job market.

WHO DELIVERS THE TRAINING ?

Our trainers are highly qualified, Certified experts with rich training experience. All of our highly qualified trainers are industry experts with at least 10-12 years of relevant teaching experience. Each of them has gone through a rigorous selection process which includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating continue to train for us.

WHY SHOULD I ENROLL AT TRAINING BASKET , AS OTHER INSTITUTES ARE OFFERING THE SAME PROGRAMME AT LOWER FEES?

The course curriculum, quality of trainers and lab facilitates at Training Basket are unparallel with respect to any other IT Institute. Also, Training Basket is Red Hat Certified Training Partner with , offering Programmes based on latest Technologies.

HOW IS MY PERFORMANCE ASSESSED?

Your performance will be assessed based on an online examination conducted at Training Basket.

WILL I GET PLACEMENT ASSISTANCE?

Yes, of course! Training Basket has an exclusive placement portal for its students under JobBasket, which provides placement assistance. Also, improve your English speaking and writing skills to enhance your employability and gain interview skills.

WHERE DO I CONTACT IF I HAVE ANY DOUBTS?

You can write to us at [email protected] You can call on the following numbers +91-9899080004+91-9873831930 +91-7291047614

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