SAS Training in Marathahalli

In data analytics environment, SAS is the leader which provides great solutions to the data management issues and Big Data challenges. Major international organizations (International Monetary Fund and World Bank) and Research Statisticians created SAS in 1976. It can be used to perform modelling, forecast, predictive and statistical data analytics. It transforms data into insight to view the business in fresh and new perspectives. It takes an extensive programming approach towards data transformation and analysis rather than a drag drop and connect approach to provide much finer control over data manipulation. This functionality made it stand out from others. Large number of customized components are available in SAS for every specific industries and data analysis tasks.

SAS Job Opportunities

  •    SAS is specifically suitable for laterals who have key skills of SQL, data quality, reporting, business analysis, excel and SAS programming. Currently, there are plenty of opportunities for the data analysts who are aware of the above technologies.
  •   Nowadays, R (open source language) has the equivalent scope as SAS which can be used for statistics, data modeling and forecasting. If you are a newbie to data analytics, then you need comprehensive training and real time experience in any data science programming languages like SAS or R for at least 3 years. That will help you meet the current expectations of market trends and demands. Expand your data analytics job opportunities and maximize the chances by acquiring the best support and training from TIB Academy.
Review for Best SAS Training Institute in Marathahalli
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Best SAS Training Institute in Marathahalli

TIB Academy provides best SAS training with placement assistance. They provide SAS classroom and online training as per student’s convenience. They have well structured with free wifi enabled classroom. They provide video lectures and real time problems for a better interactive class. They conduct backup classes for missing topics. They schedule classes based on student need.

Classroom Training in Marathahalli Bangalore
Online Training in Marathahalli Bangalore

Prerequisites for SAS

  • Basic statistics and data analytics knowledge.
  • If you are already familiar with the above, this course will be easier for you to learn. Otherwise, our experienced professionals are here to teach you and coach you right from the data analytics fundamentals.

Are you a beginner? Evaluate yourself with the following basic prerequisite questions.

1.What is SAS and why SAS?
2.what is factor analysis?
3.Difference between SAS and R?

Our SAS Training and Support

TIB Academy is the best SAS training institute in Marathahalli. Our trainers are highly experienced professionals. Currently, they are all working in top rated MNCs and Corporates, carrying years of real time industrial experience in their particular technologies. In this SAS training in Marathahalli, you will be experiencing a unique learning environment. Our MongoDB syllabus includes SAS system architecture, syntax, modules, data sets, variables, loops, functions, arrays, procedures, SAS/SQL, SAS/MACROS, SAS/ODS, SAS/REPORTS and a lot more. For the detailed SAS course syllabus, please check below.
Usually, our SAS training sessions are scheduled during weekday mornings (7AM – 10AM), weekday evenings (7PM – 9:30PM) and weekends (flexible timings). We do provide SAS classroom training and SAS online training, both on weekdays and weekends based upon the student’s preferred time slots.

You will surely enhance your technical skills and confidence with this SAS training. Our connections and networks in the job market will help you achieve your dream job easily. Compared to other training institutes, we offer the best SAS training course in Marathahalli, Bangalore, where you can get the best SAS training and placement guidance for reasonable and affordable cost.

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SAS Training in Marathahalli Syllabus

1. BASE SAS

  • Introduction To SAS System & Architecture
  • History And Various Modules
  • Features
  • Variables & SAS Syntax Rules
  • SAS Data Sets
  • Data Set Options
  • Operators
  • Reading Raw Data
  • Infile Statement With Options
  • Working With External Files & Options
  • Multiple Observations
  • Input Styles
  • Select Statement
  • Creating & Redefining Variables
  • Where Statement
  • If – Then Else Statement
  • Output Statement, Put Statement
  • Do Loops
  • Modifying And Combining Data Sets
  • Updating Master Data Set
  • SAS Functions
  • An Introduction To Arrays And Array Processing
  • Overview Of Methods For Combining Sas Data Set

2. BASE SAS PROCEDURES

  • Proc sort
  • Proc Print
  • Proc Means
  • Proc Freq
  • Proc Copy
  • Proc Summary
  • Proc Append
  • Proc Datasets
  • Proc Contents
  • Proc Delete
  • Proc Format
  • Proc Import
  • Proc Export
 3. SAS/SQL
  • Introduction To SAS/ SQL
  • Features
  • Uses
  • Terminology
  • Data Types, Key Words, & Operators
  • Functions
  • Formatting Output
  • Group By Clause
  • Order By Clause
  • Having Clause
  • Case Expression and Conditional Logic.
  • Creating ,Populating & Deleting Tables
  • Alter Table Statement
  • Changing Column’s Length
  • Joins
  • Constraints
  • Renaming A Table & Columns
  • Views

4. SAS/MACROS

  • Macro Concepts
  • Macros And Macro Variables
  • Creating Macro Variables
  • Using Macro Variables
  • Creating Modular Code With Macros
  • Invoking A Macro
  • Adding Parameters To Macros
  • Macros With Conditional Logic
  • Using Various Procedures In Macros
  • Automatic Variables
  • Macro Functions
  • Including External Macros

5. SAS/ODS

  • Creating RTF File
  • Creating Html File
  • Creating Pdf File

6. SAS/REPORTS

  • Frequency Report
  • One-Way Frequency Report
  • Cross Tabular Frequency Report
  • Summary Statistics
  • Creating A List Report
  • Define Statement
  • Order Usage and Group
  • Printing Grand Totals
  • Break Statement
  • Tabulate Procedure
  • One-Dimensional Tables
  • Two-Dimensional Tables
  • Obtaining A Total
  • Analysis Variables with options
  • Summary Statistics
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