R Programming Training

Training in BTM Layout is a leading Training as well as Placement company with experience in leading IT Sectors of India. Our training reproduces the latest technologies, techniques, as well as processes that are advanced in practical knowledge collected from years of experience. 

R Programming Training in BTM Layout offers planned training paths intended for the certification skills necessary to work in latest technological environment, while offering a wide-ranging curriculum of application centric courses for customers looking to implement upgraded/new business applications. 

The purpose of software Professional training is to help students to advance their knowledge overtime while being acknowledged for their achievement.

R Programming Training in BTM Layout is an outstanding Online and corporate training center. We provide a number of tailored training programs for small, medium along with big organizations in Bangalore and across India. Our training courses are very cost effective for all clients/students plus students. 

Our training Syllabus is prepared from the team of experts and the students can improve from basic knowledge to advance level. Our Syllabus includes Introduction to R , Understanding R data structure , Importing data , Manipulating Data , Using functions in R , R Programming , R Programming with real time experience.

Training in BTM Layout is one of the greatest Software training institutes in Bangalore with 100% placement support. It has well defined training modules in addition to training sessions for pupils. 

At R Programming Training in BTM Layout, training is conducted in day time classes on all weekdays as well as weekends to suit the timings for all students and working professional’s .R Programming Training in BTM Layout helps you acquire a foothold in the growing IT & ITeS industry. 

100% Placement Assistance- While a student finishes his/ her course effectively, our dedicated Placement Cell arranges interviews with major companies. This wide hands-on experience in Software training ensures that you captivate the knowledge as well as skills that you can apply at work after your placement. 

All of our mentors are work specialists with years of experience in well recognized IT sectors. Learning from the work experts is the only method to understand what happens in the actual IT world.

Modules:

• Module 1- Introduction to Data Analytics                                                    
• Objectives:
  • This module introduces you to some of the important keywords in R like Business Intelligence, Business Analytics, Data and Information.
  • You can also learn how R can play an important role in solving complex analytical problems.
  • This module tells you what is R and how it is used by the giants like Google, Facebook, etc.
  • Also, you will learn use of ‘R’ in the industry, this module also helps you compare R with other software in analytics, install R and its packages.
• Topics
  • Business Analytics, Data, Information
  • Understanding Business Analytics and R
  • Compare R with other software in analytics
  • Install R
  • Perform basic operations in R using command line
  • Learn the use of IDE R Studio
  • Use the ‘R help’ feature in R
• Module 2- Introduction to R programming                                            
• Objectives
  • This module starts from the basics of R programming like datatypes and functions.
  • In this module, we present a scenario and let you think about the options to resolve it, such as which datatype should one to store the variable or which R function that can help you in this scenario.
  • You will also learn how to apply the ‘join’ function in SQL.
• Topics
  • Variables in R
  • Scalars
  • Vectors
  • Matrices
  • List
  • Data frames
  • Using c, Cbind, Rbind, attach and detach functions in R
  • Factors
• Module 3- Data Manipulation in R                                                             
• Objectives
  • In this module, we start with a sample of a dirty data set and perform Data Cleaning on it, resulting in a data set, which is ready for any analysis.
  • Thus using and exploring the popular functions required to clean data in R.
• Topics 
  • Data sorting
  • Find and remove duplicates record
  • Cleaning data
  • Recoding data
  • Merging data
  • Slicing of Data
  • Merging Data
  • Apply functions
• Module 4- Data Import techniques in R                                                          
• Objectives
  • This module tells you about the versatility and robustness of R which can take-up data in a variety of formats, be it from a csv file to the data scraped from a website.
  • This module teaches you various data importing techniques in R.
• Topics
  • Reading Data
  • Writing Data
  • Basic SQL queries in R
  • Web Scraping
• Module 5- Exploratory data Analysis                                          
• Objectives
  • In this module, you will learn that exploratory data analysis is an important step in the analysis.
  • EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis. You will also learn about the various tasks involved in a typical EDA process.
• Topics 
  • Box plot
  • Histogram
  • Pareto charts
  • Pie graph
  • Line chart
  • Scatterplot
  • Developing graphs
• Module 6- Overview of Machine Learning techniques                      
• Objectives:
  • This module touches the base Statistics, Machine learning techniques used in the Industry and will cover case studies.
  • Topics
  • Standard deviation
• Outlier
  • Linear regression
  • Multiple regression
  • Logistic regressions
  • Correlation
• Module 7- Project Work                                                                                
  • 1 Real time project