R Programming Online Training

R Programming Online Training

R-Programming-online-training-nareshit

About R Programming Online Training

R is an open source programming language.  It is basically used for statistical analysis. It is also an alternative for all the expensive commercial statistic tool or software.  It has a lot of packages and libraries. These libraries contain the more powerful function which can be implemented for own use. It also hawerful graphical functionality. It has a large part of the statistical community. Code written in R is visible to the user, hence any user can do minor changes if it requires.  It helps in the building of interactive course. It offers a good platform for data analytics.

Course Objectives

What are the Course Objectives?

After completion of the R Course at Naresh I technologies, you will be expertise and eligible for:

  • Complete knowledge of R
  • Learn how to use natively in R studio interface
  • Learn how to handle add-on packages
  • Get knowledge how to make basic graphs
  • Learn command on R programming
  • Able to handle the Project independently

Who should go for this Course?

  • Any IT experienced Professional who are interested to build their career in web develop by implementing data analysis feature.
  • Any B.E/ B.Tech/ BSC/ MCA/ M.Sc Computers/ M.Tech/ BCA/ BCom College Students in any stream.
  • Fresh Graduates.

Pre-requisites:

The course can learn by any IT professional having basic knowledge of :

  • Statistic
  • Mathematics
  • Data Structure

Course Curriculum

  • Introduction to R
  • 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
  • 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
  • Various phases of Data Cleaning
  • Functions used in Inspection
  • Data Cleaning Techniques
  • Uses of functions involved
  • Use-cases for Data Cleaning using 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
  • 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
  • Story telling with Data
  • Principle tenets
  • Elements of Data Visualization
  • Infographics vs Data Visualization
  • Data Visualization & Graphical functions in R
  • Plotting Graphs
  • Customizing Graphical Parameters to improvise the plots
  • Various GUIs
  • Spatial Analysis
  • Other Visualization concepts


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Training Features

Instructor-Led Training Sessions

We believe to provide our students the Best interactive experience as part of their learning

Expert Trainers

We Constantly evaluate our trainers and only the “Best” Provides the Training

Flexible Schedule

Do not hesitate to ask… because we will work according to your calendar

Industry Specific Scenarios

Students are provided with all the Real-Time and Relevant Scenarios

e-Learning Sessions

Online training sessions are held Live and we provide students with the Training Videos

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