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Business Analytics Using R

If you can agree with this sentence: “I have some data that makes sense to represent in a tabular like structure, and I want to do some cool statistics stuff with it” then R is definitely a good choice.
-- Pete Werner

R / R-Studio using Windows / Linux

Objectives

This program will give the participants a technical competence of using R and its libraries for Business Analytics. This is a technical program which will provide a working knowledge of R & Analytics.

Program Outline

The sessions would cover the basic to advanced R Programming.

  • Introduction & Quick Start
  • Reading & Checking Data
  • Writing Data & RDS
  • Data Manipulation
  • R Markdown
  • Charting & Visualization
  • String Manipulation
  • Shiny Apps
  • R Packages
  • Linear Regression
  • Logistic Regression
  • K-Means Clustering
  • KNN Classification
  • Machine Leaning

Competency Achievement

After the completion of program, the participants will be:

  • Able to read data into R from multiple data sources / formats to perform various type of analytics.
  • Able to write data from R into multiple data sources / formats
  • Use R as BI-Tool to carry out analytics on business / commercial data.
  • Use R as Text Analytics Tool to carry out lexical analytics covering descriptive & predictive analytics.
  • Use R as Statistical Analytics Tool to create statistical models and carry out statistical analytics covering regressions & clustering algorithms.
  • Use R as Machine Learning Tool to create models and carry out analytics using Machine Learning algorithms.

 

SparkR using Hadoop & Spark

Objectives

This program will give the participants a technical competence of using R and its libraries for Business Analytics. This is a technical program which will provide a working knowledge of R & Analytics.

Program Outline

The sessions would cover the basic to advanced R Programming.

  • Introduction & Quick Start
  • Introduction To Hadoop
  • Introduction To Spark
  • Spark RDD
  • Reading & Checking Data
  • Writing Data & RDS
  • Data Manipulation
  • Charting & Visualization
  • String Manipulation

Competency Achievement

After the completion of program, the participants will be:

  • Able to work with Hadoop & SparkR
  • Able to read data into R from multiple data sources / formats to perform various type of analytics.
  • Able to write data from R into multiple data sources / formats
  • Use R as BI-Tool to carry out analytics on business / commercial data.
  • Use R as Text Analytics Tool to carry out lexical analytics covering descriptive & predictive analytics.