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

Learn Data Analytics Using R Programming

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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 is a 60 hours course covering  R Programming + Advance Analytics . Analytica follows case study based sessions so that students are able to deploy the tools and techniques to a business problem. Each theory session is followed by assignments and Lab session.

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

1.1 R Programming

  • Object oriented programming in R
  • R Data types
  • R objects
  • Vectors, Matrices, Data Frames, Lists & Arrays

1.2 R Inbuilt Functions

  • Basic functions like Gsub, Grep or Match
  • Date functions and formats
  • Data manipulation with help of R functions
  • Loops

1.3 R Packages & Importing Data

  • R packages
  • Importing data from a CSV file
  • Excel Imports
  • Importing text files

1.4 APPLY Family of Functions

  • Apply 
  • Sapply
  • Lapply
  • Vapply
  • Mapply
  • Dplyr package & its functions

1.5 Aggregate Function

  • Understanding Aggregate Function
  • Usage
  • Summarizing data with Aggregate function

1.6 R Charts

  • Bar Charts, Stacked Bar Charts & Histograms
  • Pie Charts
  • Line charts
  • Boxplots
  • Heat Maps
  • Density Charts
  • Chart Exports
  • Editing Charts with TEXT function

1.7 R User Defined Function

  • Writing our own function
  • User defined function with APPLY family

1.8 Connecting R to MySQL

  • R package for MySQL connection
  • Connecting R to MySQL

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 who want to take up a career in business analytics and data science.

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
Participants
Pendela v.v.v.rao Pendela v.v.v.rao
Call us on India +91 9618192305

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