R Programming

Learn R Programming for best career opportunities in business analytics

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R is a well-developed, simple and effective programming language which includes conditionals, loops, user defined recursive functions and input and output facilities. R has an effective data handling and storage facility, R provides a suite of operators for calculations on arrays, lists, vectors and matrices.

  • Introduction to R Programming
  • Business Analytics
  • Analytics concepts
  • The importance of R in analytics
  • R Language community and eco-system
  • Usage of R in industry
  • Installing R and other packages
  • Perform basic R operations using command line
  • Usage of IDE R Studio and various GUI

R Programming Concepts

  • The datatypes in R and its uses
  • Built-in functions in R
  • Subsetting methods
  • Summarize data using functions
  • Use of functions like head(), tail(), for inspecting data
  • Use-cases for problem solving using R

Data Manipulation in R

  • Various phases of Data Cleaning
  • Functions used in Inspection
  • Data Cleaning Techniques
  • Uses of functions involved
  • Use-cases for Data Cleaning using R

Data Import Techniques in R

  • Import data from spreadsheets and text files into R
  • Importing data from statistical formats
  • Packages installation for database import
  • Connecting to RDBMS from R using ODBC and basic SQL queries in R
  • Web Scraping
  • Other concepts on Data Import Techniques

Exploratory Data Analysis (EDA) using R

  • What is EDA?
  • Why do we need EDA?
  • Goals of EDA
  • Types of EDA
  • Implementing of EDA
  • Boxplots, cor() in R
  • EDA functions
  • Multiple packages in R for data analysis
  • Some fancy plots
  • Use-cases for EDA using R

Data Visualization in R

  • Storytelling with Data
  • Principle tenets
  • Elements of Data Visualization
  • Infographicsvs Data Visualization
  • Data Visualization & Graphical functions in R
  • Plotting Graphs
  • Customizing Graphical Parameters to improvise the plots
  • Various GUIs
  • Spatial Analysis
  • Other Visualization concepts
  • Once you complete this master’s program, you will receive the course completion certificate by DICS PITAMPURA

DICS PITAMPURA Course Completion Certificate will be awarded upon the completion of the project work (after the expert review) and upon scoring at least 50% marks in the quiz. DICS PITAMPURA certification is well recognized in top MNCs .

R programming training is pursued by working IT professionals who want to enhance their skills in data analysis, statistical analysis, machine learning, data mining.

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