R LANGUAGE

R language

R LANGUAGE

  • You will learn how to navigate in the RStudio interface
  • You will learn how to make basic graphs
  • You will learn about the basic structure of R including packages
  • You will learn how to perform basic commands in the R programming language

COURSE DETAILS

R is a powerful language for data analysis, data visualization, machine learning, statistics. Originally developed for statistical programming, it is now one of the most popular languages in data science. In this course, you’ll be learning about the basics of R, and you’ll end with the confidence to start writing your own R scripts. But this isn’t your typical textbook introduction to R. You’re not just learning about R fundamentals, you’ll be using R to solve problems related to movies data. Using a concrete example makes the learning painless.

You will learn about the fundamentals of R syntax, including assigning variables and doing simple operations with one of R’s most important data structures — vectors! From vectors, you’ll then learn about lists, matrix, arrays and data frames. Then you’ll jump into conditional statements, functions, classes and debugging. Once you’ve covered the basics – you’ll learn about reading and writing data in R, whether it’s a table format (CSV, Excel) or a text file (.txt). Finally, you’ll end with some important functions for character strings and dates in R.

  • Business Analytics
  • Data, Information
  •  Understanding Business Analytics
  •  R Dependency Inversion

During this journey, you’ll get practice applying some of the most important DESIGN PATTERNS that competent developers must have under their belt. There are so many design patterns out there, but we’ll be thoroughly covering only the most important ones. Save yourself the time from learning all the design patterns and going into a design frenzy. Focus on the 20% that covers 80% of the scenarios and add miles to your programming efficiency.

These cover 80% of patterns used out there in professional software development.

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

The topics can be applied to pretty much any language. But, we’ll be using R Language, so I expect you to be familiar with the basic language constructs such as classes, methods, and interfaces. But don’t worry if you don’t know about these, I’ve taken the time to create 6 comprehensive prerequisite lessons on introduction to object orientation. In these lessons, newcomers can learn about the basics of R Language:

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

I’m certain that, by practicing the concepts covered, you’ll make a substantial leap forward in your programming career. I hope to see you in the coming lessons.

This course is from This site offers lectures on practical software development topics to immediately impact your programming skills. Things you can take to your interview and feel confident in your abilities!

INTRODUCTORY PRINCIPLES IN R LANGUAGE (OPTIONAL PREREQUISITE)

  • History and overview of R
  • Install and configuration of R programming environment
  • Basic language elements and data structures
  • R+Knitr+Markdown+GitHub
  • Data input/output
  • Data storage formats
  • Subsetting objects
  • Vectorization
  • Control structures
  • Functions
  • Scoping Rules
  • Loop functions
  • Graphics and visualization
  • Grammar of data manipulation (dplyr and related tools)
  • Debugging/profiling
  • Statistical simulation

R LANGUAGE DESIGN PRINCIPLES (SOLID)

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

R LANGUAGE DESIGN PATTERNS IN PRACTICE

  • History and overview of R
  • Install and configuration of R programming environment
  • Basic language elements and data structures
  • R+Knitr+Markdown+GitHub
  • Data input/output
  • Data storage formats
  • Subsetting objects
  • Vectorization
  • Control structures
  • Functions
  • Scoping Rules
  • Loop functions
  • Graphics and visualization
  • Grammar of data manipulation (dplyr and related tools)
  • Debugging/profiling
  • Statistical simulation

COURSE OUTCOMES

  • Advance your programming skills from a junior level newbie to a competent intermediate level R Language software developer
  • Design and develop software using best practices in R Language  programming
  • Apply the 5 crucial R Programminge design principles using R Language
  • Apply design patterns such as Strategy, Observer, Template Method, Factory, and Builder
  • Make the leap into professional software craftsmanship and take your career to the next level!
Why we need R Language?

R Language is very  in data science because of its versatility in the field of statistics. R Programming  is usually used in the field of data science when the task requires special analysis of data for standalone or distributed computing. DHS Informatics is very familiar with the python training giving to the job seekers.

Our Service:

DHS Informatics is one of the pioneer training institute in Bnagalore.DHS Informatics offer the R Language Training In Bangalore. DHS R Language trainer take basic to advance level very clearly and easy to understandable.

DHS Informatics is the best R programming language training Institute in Bangalore. The silicon capital of India, Bangalore is IT-hub where students can have more things to learn and enjoy.  DHS Informatics have On Job Training (OJT) program in all the streams which covers the basic to advance level of training and gives real time experience to the students. Through OJT program students are getting jobs in Bangalore and other places. Bangalore is the only place where most of the IT Companies located in India. Bangalore is the most attractive IT / ITes outsourcing hubs in the world.

DHS Informatics  give some soft skill training like Communication training, Group Decision , Personality development Training, etc, for student job seekers.  DHS provide job opportunity to the students in R programming language Training.

Advantage of  R programming training:

Our placement team train you for attending and cracking the round in the interview.

  1. We give the real time projects for R Programming
  2. We help you to improve technically and non technically.
  3. We teach you basic to advanced level for students to crack interview rounds.

We support you and make you to Settle in your life.