Business Analytics with R Training

Live Online & Classroom Enterprise Training

Master business analytics with the open source programming language for data - R. Be industry ready to work on regression, clustering and predictive analytics.

Looking for a private batch ?

Key Features
  • Lifetime Access

  • CloudLabs

  • 24x7 Support

  • Real-time code analysis and feedback

  • 100% Money Back Guarantee

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What is Business Analytics with R Training about?

Business analytics with R training is designed to make you industry ready in business analytics. Gain a working knowledge of R programming, importing various formats of data, data manipulation, statistical computing and data graphics.  Gain hands-on experience on advanced R topics like data mining techniques, predictive analytics and data visualisation as you practice on cloudlabs while you learn with our industry expert. This comprehensive training program is the foundation course for a successful data science career.

Create rich visualizations with business analytics reports to be the R expert your organization needs.

Suggested Audience:

Developers, data analysts and data engineers looking to professionally use R for their organization’s data needs.  


What are the objectives of Business Analytics with R Training ?

The Business Analytics with R training course will enable you to:

  • Gain an indepth understanding of Business Analytics, Business Intelligence and Data Mining
  • Grasp the core concepts on R Programming, Data Cleaning in R, Data Import in R
  • Internalize R Analytics, Predictive Analytics, Data Visualisation etc
  • 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
Available Training Modes

Live Online Training

18 Hours

Classroom Training


3 Days

Who is Business Analytics with R Training for?

  • Anyone who wants to add Business Analytics with R skills to their profile
  • Teams getting started on Business Analytics with R projects
  • What are the prerequisites for Business Analytics with R Training?

    There are no set prerequisites for this course. Some prior exposure to statistics and programming is useful.

    Course Outline

    • 1. 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
    • 2. Introduction to R Programming
      • Introduction to R Programming
    • 3. Data Cleaning in R
      • Data Cleaning in R
    • 4. Data Import in R
      • Data Import in R
    • 5. Exploratory Data Analysis(EDA) & Implementation
      • Exploratory Data Analysis(EDA) & Implementation
    • 6. Data Visualization
      • Data Visualization
    • 7. 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
    • 8. Data Mining Technique
      • Association Rule Mining
      • Collaborative Filtering
    • 9. Linear and Logistic Regression
    • 10. Statistical Modelling
      • Define a Statistical Model
      • Understand and build Linear Models
      • Compute Regression Statistics
      • Determine ANOVA
      • Variance (Anova) Technique
      • Sentiment Analysis
    • 11. Regressions
      • 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

    Who is the instructor for this training?

    The trainer for this Business Analytics with R Training has extensive experience in this domain, including years of experience training & mentoring professionals.