R Online Training

About R Online Training:

R Online Training programing language is one the foremost powerful tool for computational statistics, visualization and data science. Data scientists and statisticians use R for solving many complex problems in their industry. R is extensively utilized in companies like Bing, Google, Facebook, Twitter and Uber. As R is employed in various domains like Social media companies, Banks, Insurance companies, Car manufacturers, R is one among the foremost sought data analytics skill that’s in high demand. R Programming may be a powerful statistical the programing language which is employed for predictive modeling and other data processing related techniques. R programming are often used for data manipulation, data aggregation, statistical Modelling, Creating charts and plots. R programming is becoming the foremost necessary skill within the field of analytics for its open source credibility.

About Instructor

                               R Online Training is provided by a real time consultant. The experience acquired by our trainer on Google Cloud, is promisingly helpful to the corporate trainee’s. Our instructors are experts in the implementation and support projects. ASTS always works on real time scenarios. It is extremely useful for the professionals to handle the projects easily in the IT industry.

Prerequisites of the Course

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

Terms And Conditions

  • We will Provide Supporting to resolve Student practical Issues.
  • We will provide server Access and 100% Lab Facility.
  • Resume Preparation.
  • Interview Questions & Answers.
  • We will conduct mock interviews. Student also gets 100% supporting before and after getting job.

R Online Training Course Content

Introduction to R

  • What is R?
  • Why R?
  • Installing R
  • R environment
  • How to get help in R
  • R console and Editor

Understanding R data structure

  • Variables in R
  • Scalars
  • Vectors
  • Matrices
  • List
  • Data frames
  • Using c, Cbind, Rbind, attach and detach functions in R
  • Factors

Importing data

  • Reading Tabular Data files
  • Reading CSV files
  • Importing data from excel
  • Importing data from SAS
  • Accessing database
  • Saving in R data
  • Loading R data objects
  • Writing to files

Manipulating Data

  • Selecting rows/observations
  • Selecting columns/fields
  • Merging data
  • Relabelling the column names
  • Converting variable types
  • Data sorting
  • Data aggregation

Using functions in R

  • Commonly used Mathematical Functions
  • Commonly used Summary Functions
  • Commonly used String Functions
  • User-defined functions
  • local and global variable

R Programming

  • While loop
  • If loop
  • For loop
  • Arithmetic operations

Charts and Plots

  • Box plot
  • Histogram
  • Pareto charts
  • Pie graph
  • Line chart
  • Scatterplot
  • Developing graphs

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