TECHNOLOGY
Business Analytics using Sas The Analytica
6-3-655/6/B, Civil supplies Bhavan Lane, Somajiguda - 82 Location Map
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Business Analytics Using Sas

Learn Data Analytics Using Sas

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Course at a Glance
  • 45 hours of Classroom Teaching
  • Study Content (Online)
  • 15 Hours Lab Work
  • English Language
  • Online Doubt Support
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About Course

This course is designed to train analytics using live industry projects to explain concepts. You will also be learning  SAS (import data, transform data, independent variables analysis, run regression and macros) and concepts of Correlation, Linear & Logistic Regression, KS & Gini, Model Validation and Clustering are explained from beginner's perspective.

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About Institute

Analytica is a leading research and Analytics Skill Building company in India, with focus on quality training across the diversified groups of students and professionals. It is an initiative by highly qualified pool of professionals, with a passion to impart high level training and business oriented analytics solution. At Analytica, we train individuals from diverse fields of education and professionals working at different levels of various domains. The training pedagogy involves understanding the concepts of Analytics/SAS/Excel from a business perspective and implementing these concepts with an acute degree of accuracy to find the most logical and profitable solution to the problems/case studies.

Course Structure

1.0 Introduction to Business Analytics

  • Introduction
  • Business Application across Industry & Verticals
  • Types of Analytics

1. Introduction to SAS

  • What is SAS?
  • Cross industry Usage
  • Introduction to SAS-Windows & Programming
  • SAS code layout

1.1 Getting Started with SAS

  • Descriptor & Data Portion
  • Data Preparation, SAS Libraries: Creating your library
  • Format & Informat
  • Proc and Data Steps

1.2 Data Import Procedure

  • Importing Datasets to SAS, Working across libraries
  • Export data to create files.
  • Control which observations and variables in a SAS data set are processed and output.

1.3 Working with Data

  • Investigate SAS   data   libraries   using   base   SAS   utility procedures.
  • Sort observations in a SAS data set.
  • Conditionally execute SAS statements.

1.4 Conditional Statements

  • If then Statements
  • Where Statements
  • Select Clause

1.5 Proc Content & Print

  • Proc Contents
  • Proc Print
  • Combining Proc Print with conditional statements

1.6 Reporting & Formatting

  • Using Proc steps to generate reports
  • Proc Freq
  • Proc Means
  • Proc Summary
  • Proc Format
  • Proc Transpose
  • Proc Export etc

1.7 Output Delivery System

  • ODS (Output Delivery System)
  • Using ODS with different procedures
  • Understanding Functions in SAS: Sum, STD, Average, Trim, Date, Scan
  • Input, Put, Index, Mean, INTCK, INTNX, SUBSTR
  • Manipulating Datasets using functions

1.8 SAS Functions

  • Understanding Functions in SAS: Sum, STD, Average, Trim, Date, Scan
  • Input, Put, Index, Mean, INTCK, INTNX, SUBSTR
  • Manipulating Datasets using functions
  • Date Functions

1.9 Options & Loops

  • Modify variable attributes using options and statements in the DATA step
  • Process Data using  DO  Loops,  
  • Process  Data  using  SAS arrays
  • Conditionally execute SAS  statements,  Validate  &  Clean Data

1.10 Error Handling

  • Identify and resolve programming logic errors.
  • Recognize and correct syntax errors.
  • Examine and resolve data errors.

1.11 Advance SAS: Proc SQL

  • Accessing Data Using SQL
  • Generate detail reports by working with a single table, joining   tables,   or   using   set   operators 
  • Generate summary reports  by  working  with  a  single table
  • Joining tables, or using set operators in the SQL procedure.
  • Construct sub-queries and in-line views within an SQL procedure step.
  • Compare solving a  problem  using  the  SQL  procedure versus using traditional SAS programming techniques.

1.12 Advance SAS: Macros

  • Create and use  user-defined  and  automatic  macro variables within the SAS Macro Language.
  • Automate programs by  defining  and  calling  macros using the
  • SAS Macro   Language,   Macro   Debugging   and   User defined Macro functions
  • Create data-driven programs using SAS Macro Language.

2. Business Statistics

  • Basics of Statistics : Data Types and their representation
  • Different Terminologies used in Analysis
  • Five Number Summary
  • Frequency Tables
  • Frequency Distributions
  • Probability
  • Probability Distribution
  • Central Tendency

2.1 Sampling Distribution

  • Population and Sample
  • Sampling Techniques & Sampling Distributions
  • Design of Experiments
  • Estimation

2.2 Hypothesis Testing

  • Introduction: Hypotheses Testing
  • Concepts Basic to Hypotheses Testing Procedure
  • Parametric Tests
  • Testing Hypotheses:  One Sample and Two Sample Tests
  • One Tail & Two Tail Tests
  • t-test, Z- test, CHI Square test, Anova (F Distribution)
  • Non Parametric Test 

2.3 Regression Analysis

  • Introduction to regression analysis
  • Simple Regression Analysis
  • Estimation Using Regression Line
  • Correlation Analysis
  • Least Squared Method
  • Multiple Regression
  • Inferences About Population Parameters
  • Model Adequacy Checking: Residual Analysis
  • Transformation Techniques

2.4 Logistic Regression Analysis

  • Logistic Regression: Introduction and Background
  • Building a Model & Model Fitting
  • Coefficients and Mathematical Specification
  • Model Accuracy Checking

2.5 Cluster Analysis

  • Introduction to Cluster
  • Types of Clustering
  • Measures of Homogeneity
  • When to use
  • Important Considerations

2.6 Factor Analysis

  • Introduction to Factor
  • The Factor Analytic Model
  • Methods of Factor Extraction
  • Factor Rotation Interpretation
  • Application of Factor Analytics Results

2.7 Project

  • Working on A Live Project
For Whom

People looking to take up a career in data analytics and visualisation. Even working professionals who want to advance their career towards next big thing, Analytics can take up this course. Entrepreneurs / StartUps who want to leverage their business's data using Analytics

Center Address
The Analytica Center
Center Details
  • Ac Classroom Yes
  • Power Backup Yes
  • Lift Yes
  • Purified Water Yes
  • Four Wheeler Parking Yes
  • Two Wheeler Parking Yes
  • Hostel Support No
  • Girls Wash Room Yes
  • Female Staff Yes
  • Fire Alarm System Yes
  • Fire Extinguishers Yes
  • Manned Security Building Yes
  • Security Cams Facility Yes
Academic Profile
  • Hours 45
  • Online Query Support Yes
  • Online Tests Yes
  • Telephonic Query Support No
  • Video Classes No
  • Study Content Yes
  • Class Hand Outs Yes
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