R programming 2020-04-15T06:21:21+00:00

R programming

Get familiar with R programming learning Techniques.

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R programming

R Programming Integrum Litera provides Best R Programming Training in Hyderabad as per the current industry standards. Our training programs will enable professionals to secure placements in MNCs. Integrum Litera is one of the most recommended R Programming Training Institute in Hyderabad that offers hands-on practical knowledge / practical implementation on live projects and will ensure the job with the help of advance level R Programming Training Courses.

Integrum Litera, will implement the following concepts under R Programming – Introduction to R, what is Statistical Programming? Starting and quitting R, Built-in functions and online help, choosing a high-level graphic, Setting graphical parameters, Scope of variables, Debugging and maintenance, A Brief Guide to SQL, on real-time projects along with R Programming Placement Training modules like aptitude test preparation etc.

Integrum Litera is the well-known R Programming Training Center in Hyderabad with good infrastructure and lab facilities. The course curriculum is customized as per the requirement of candidates/corporates.

We are following the below “P3-Model (Placement Preparation Process)” to ensure the placement of our candidates. We closely monitor the growth of students during the training program and assist them to increase their performance and level of knowledge.

R is an open-source programming dialect and programming condition for measurable processing and designs that are upheld by the R Foundation for Statistical Computing. The R dialect is generally utilized among analysts and information mine workers for creating factual programming and information investigation.

About Course

In this course, you will figure out how to program in R and how to utilize R for viable information examination. You will figure out how to introduce and design programming fundamental for a factual programming condition and depict non-specific programming dialect ideas as they are executed in an abnormal state measurable dialect. The course covers pragmatic issues in factual processing which incorporates programming in R, perusing information into R, getting to R bundles, composing R capacities, investigating, profiling R code, and arranging and remarking R code.

Expand your skill set with R programming for data science:

If you’re on a path to a career in data science or statistics, a course in R should definitely be on your list. Take an introductory course and add experience with this popular programming language to your resume. Get started coding with statistical software today!

Top Reasons which makes us best among all others:

· All our training programs are based on current industry standards.

· Training will be conducted on a daily & weekly basis and also we can customize the training schedule as per the candidate requirements.

· Training will be conducted by certified professionals.

· Our Labs are very well-equipped with the latest version of hardware and software.

· Our classrooms are fully geared up with projectors

· Flexible Payment options such as Cheques, EMI, Cash, Credit Card, Debit Card, and Net Banking.

Integrum Litera R Programming Trainers are:

· Trainers are certified professionals with 10+ years of experience in their respective domain as well as they are currently working with Top MNCs

· As all Trainers are working professionals so they are having many live projects, trainers will use these projects during training sessions.


  • An Introduction to R
  • Programming of statistical graphics
  • Programming with R
  • Simulation
  • Numerical optimization
  • Computational linear algebra
  • R and Databases
  • Data in R
  • Reading and Writing Data

1. Python programming:

  • Environment Setup
  • Jupyter Notebook Overview
  • Data types:
    • Numbers,Strings
    • Printing, Lists
    • Dictionaries, Booleans,Tuples , Sets
    • Comparison Operators
    • if, elif, else Statements

2. Loops:

  • for Loops, while Loops
  • range()
  • list comprehension
  • functions

3. Python for Exploratory Data Analysis:

  • Numpy
  • Pandas

4. Python for Data Visualization:

  • Matplotlib
  • Seaborn
  • Pandas built in visualization

Interview Question and Answers

R is a programming language for statistical computing and data visualization. R is used for multiple purposes such as statistical analysis, data visualization, data manipulation, predictive modelling and forecast analysis.

  • Mean
  • Median
  • Distribution
  • Co-variance
  • Regression
  • Non-linear
  • Mixed Effects
  • GLM
  • GAM.
  • Vectors
  • Lists
  • Matrices
  • Arrays
  • Factors
  • Data Frames
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