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Business Analytics with R

( Duration: 3 Days )

This Business Analytics with R training course provides a working knowledge of R programming, importing various formats of data, data manipulation, statistical computing and data graphics. Further get hands-on experience in advanced R topics like data mining techniques, predictive analytics and data visualisation.

By attending Business Analytics with R workshop, delegates will learn:

  • Apply your in depth understanding of Business Analytics, Business Intelligence and Data Mining to projects
  • Leverage your understanding of the core concepts of R Programming, Data Cleaning in R, Data Import in R
  • Use R Analytics, Predictive Analytics, Data Visualisation to derive useful actionable insights
  • Gain expertise in Data Import, Exploration & Manipulation in R
  • Master modelling in R, Exploratory Data Analysis(EDA) & implementation of EDA on various datasets
  • Master concepts of Data Mining Techniques, Statistical Modelling, Linear and Logistic Regression

  • A basic understanding of R programming and statistics is good to have. Knowledge of business analytics is not required.

The Business Analytics with R class is ideal for:

  • Anyone looking to devise and implement data analytics solutions using R
  • Teams getting started with or working on R analytics projects



What is Business Analytics

  • Understanding Data
  • Introduction to Data Analytics
  • Introduction to Business Analytics, Business Intelligence and Data Mining
  • Analytical Decision Making
  • Future of Business Analytics
  • Big Data Analytics
  • Social Media Analytics
  • Basic Statistical Concepts
  • Type of Data
  • Sampling Techniques

Introduction to R Programming


Data Cleaning in R


Data Import in R


Exploratory Data Analysis(EDA) & Implementation


Data Visualization


Introduction to Data Mining

  • Basics of Machine Learning
  • K : means clustering
  • Cluster a dataset in MS Excel using k-Means
  • Cluster a dataset in R using k-Means

Data Mining Technique

  • Association Rule Mining
  • Collaborative Filtering

Linear and Logistic Regression


Statistical Modelling

  • Define a Statistical Model
  • Understand and build Linear Models
  • Compute Regression Statistics
  • Determine ANOVA
  • Variance (Anova) Technique
  • Sentiment Analysis


  • Understand the concept of Multiple Regression
  • Create a Multiple Regression Model in MS Excel
  • Create a Multiple Regression Model in R
  • Understand the concept of Logistic Regression
  • Create a Logistic Regression Model in MS Excel

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 6,000 various courses on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 50,000 Corporate executives across the Globe
  • All our trainings are conducted in workshop mode with more focus on hands-on sessions

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Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.