R Programming Training Course

R programming online training builds the proficiency in using R programming language for statistical computing and graphics.

  • 15000
  • 18000
  • Course Includes
  • Live Class Practical Oriented Training
  • 45 + Hrs Instructor LED Training
  • 25 + Hrs Practical Exercise
  • 25 + Hrs Project Work & Assignment
  • Timely Doubt Resolution
  • Dedicated Student Success Mentor
  • Certification & Job Assistance
  • Free Access to Workshop & Webinar
  • No Cost EMI Option


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What you will learn

  • Clear understanding of Statistical programming and R environment
  • In-depth knowledge of basic features, functions, operators available with R
  • Comprehensive information about programming statistical graphics
  • Ways of using simulation and numerical optimization
  • Extract data from R objects, perform reading and writing of Data, and handle databases
  • Use subscripting, character manipulation, and reshaping of data
  • Find probability, distributions, regression and correlation
  • Significance of sample size and its calculation. Advance data handling techniques

Requirements

  • Programming background like C, C++, Python will be an added advantage but not mandatory to learn R, but introductory statistics is a prerequisite.

Description

|| About R Programming Training Course

R programming online training course exposed to fundamental programming concepts in R. After the basics, you will learn how to organize, modify and clean data frames, a useful data structure in R. Then you will learn how to create data visualizations to showcase insights in data. R is a widely used statistical programming language that’s beloved by users in academia and industry. R works well with data, making it a great language for anyone interested in data analysis, data visualization, and data science. In this course you will learn how to program in R and how to use R for effective data analysis.

 

You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. R programming training course introduces R environment and basic statistical analysis. It extends the learning curve by teaching techniques used for data manipulation and the overview of basic data structures. Statistical applications using R programming and exploration of data using box plots, histograms, correlation coefficients will also be illustrated. Our course offers an expert's-eye overview of how these advanced tasks fit together in R as a whole along with practical examples. Through hands on exercises and in-depth coaching you will get a thorough understanding of R, its data structures, data processing functions and data summarizing with R.

Course Content

Live Lecture

·     What is R?

·     Why R?

·     Installing R

·     R environment

·     How to get help in R

·     R Studio Overview

·     Practical Exercise

Live Lecture

·     Variables in R

·     Scalars

·     Vectors

·     Matrices

·     List

·     Data frames

·     Cbind, Rbind, attach and detach functions in R

·     Factors

·     Getting a subset of Data

·     Missing values

·     Converting between vector types

·     Practical Exercise

Live Lecture

·     Reading Tabular Data files

·     Reading CSV files

·     Importing data from excel

·     Loading and storing data with a clipboard

·     Accessing database

·     Saving in R data

·     Loading R data objects

·     Writing data to file

·     Writing text and output from analyses to file

·     Practical Exercise

Live Lecture

·     Selecting rows/observations

·     Rounding Number

·     Creating string from a variable

·     Search and Replace a String or Number

·     Selecting columns/fields

·     Merging data

·     Relabeling the column names

·     Data sorting

·     Data aggregation

·     Finding and removing duplicate records

·     Practical Exercise

Live Lecture

·     Apply Function Family

·     Commonly used Mathematical Functions

·     Commonly used Summary Functions

·     Commonly used String Functions

·     User-defined functions

·     local and global variable

·     Working with dates

·     Practical Exercise

Live Lecture

·     While loop

·     If loop

·     For loop

·     Arithmetic operations

·     Practical Exercise

Live Lecture

·     Box plot

·     Histogram

·     Pie graph

·     Line chart

·     Scatterplot

·     Developing graphs

·     Cover all the current trending packages for Graphs

·     Practical Exercise

Fees

Offline Training @ Vadodara

  • Classroom Based Training
  • Practical Based Training
  • No Cost EMI Option
22000 18000

Online Training preferred

  • Live Virtual Classroom Training
  • 1:1 Doubt Resolution Sessions
  • Recorded Live Lectures*
  • Flexible Schedule
18000 15000

Corporate Training

  • Customized Learning
  • Onsite Based Corporate Training
  • Online Corporate Training
  • Certified Corporate Training

Certification

  • Upon the completion of the Classroom training, you will have an Offline exam that will help you prepare for the Professional certification exam and score top marks. The BIT Certification is awarded upon successfully completing an offline exam after reviewed by experts
  • Upon the completion of the training, you will have an online exam that will help you prepare for the Professional certification exam and score top marks. BIT Certification is awarded upon successfully completing an online exam after reviewed by experts.