Courses

R Programming

R Programming
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Softcrayon is the best R Programming Training Institute in Ghaziabad and is also based in Ghaziabad. You can quickly gain admission there, and you will get exposure to the field and make your career more advanced in the professional field of R Programming.

Starting from the basics, you will get the best results and make your journey more seamless. You are finding the best results in reaching the top of your career, and this will make your profession more explored.

Course Duration

2 - 3 months

Level

Beginner - Advance

Certification

softcrayons Certified

Training Format

Live Online /Self-Paced/Classroom

Speciality

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500+

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4+

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20+

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100+

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Best R Programming Training Institute in Ghaziabad- Softcrayon

Softcrayon is the best R Programming Training Institute in Ghaziabad and is also based in Ghaziabad. You can quickly gain admission there, and you will get exposure to the field and make your career more advanced in the professional field of R Programming.

Starting from the basics, you will get the best results and make your journey more seamless. You are finding the best results in reaching the top of your career, and this will make your profession more explored.

What is R Programming?

Where better to get an accurate R description than on the organization's website? R is a language and environment system used for graphics and statistical computing." The language is an open-source programming language often used for data analysis and statistical analysis.

The R environment comprises an entire suite of computer software features for computation, data manipulation, and graphical display. The environment offers:

  • A high-performance facility for data storage and handling
  • A collection of operators for array calculations, mostly the matrices
  • A vast, easy-to-understand collection of intermediate tools for data analysis
  • Graphical tools for display and analysis of data that One can use for either on-screen or hardcopy
  • A simple, well-constructed, and powerful programming language with user-defined recursive functions, loops, conditionals, loops, and input and output options.
  • The syntax for R is comprised of three parts:
  • Variables, which are used to store information
  • Comments, which are utilized to enhance the readability of code 
  • Keywords are words reserved for the compiler that have particular meanings for the compiler

 R was invented around 1993 by Ross Ihaka and Robert Gentleman and included linear regression, machine-learning algorithms, the statistical method of inference, time series, and many more. R is a universal programming language compatible with Windows, Macintosh, UNIX, and Linux platforms. It is commonly called a different version for S. S languages and environments and is widely regarded as highly extensible.

Necessary to Start R Programming Training Courses in Ghaziabad

While R Programming Training Institute in Ghaziabad is the most powerful statistical programming language in the world, you have to be aware of the advantages and disadvantages of R before working using R. R can help at every stage of data analysis, from collecting and cleaning the data to analyzing it and reporting findings. With the increase in machines producing much more information, data analysis languages are expected to expand. However, it is not as simple as many people would like to believe. While R is a well-known programming language that can analyze and visualize data, it has several advantages and disadvantages. This is why I'd love to talk to you about the advantages and disadvantages of R programming that every person, mainly novice programmers, needs to know. We will first examine the benefits of R to comprehend its benefits.

Benefits of R Programming Training Institute in Ghaziabad

Softcrayon is serving the best R Programming Training Courses in Ghaziabad. R's success is based on its various benefits to novices and professionals. Here are the top benefits that come with R programming:

Computing with Analysis

R is a statistical programming language invented by statisticians. It is an excellent language for statistical computation. R is the most commonly used programming language to develop statistical tools.

Open Source System

R is an open-source programming language that is open-source and free to use. Anyone can work with R without fees or licensing. This is because R has a massive community that is a part of its surroundings.

Variety of Library

The considerable community support for R has created an extensive library collection. R is well-known for its graphic libraries. Libraries help and improve R's R development environment. R contains libraries for many applications.

Cross Support System

The R program is completely machine-independent. It can run across platforms. It is, therefore, usable across a variety of operating platforms.

Support the Data System

R can execute operations on arrays, vectors, matrices, and other data objects with dimensions.

The accomplishment of Relevant Courses

R can gather data from the web via web scraping and other methods. It also can do data cleansing. The process involves identifying and correcting corrupt or inaccurate records. One can also use R for data wrangling. This involves changing raw data to the desired format for more efficient consumption.

Powerful Graphics

R comes with a wealth of libraries that produce high-quality graphs and visualizations. These graphics could be static as well as dynamic.

Highly Active Group

The R community is highly active. Users are spread out across the globe to assist and help you. Various latest technologies and concepts are available within R's R community.

Parallel & Distributed Programming

With DDR or multiplier libraries, R can process massive data sets using distributed or parallel computing.

Compiler Database

R is an interpreter language. It does not need any compiler to convert the code into executable programs. It is. Instead, R interprets the provided code into lower-level calls and already-compiled code.

Compatibility

R has compatibility with various languages, such as C, C++, and FORTRAN. Other languages like .NET, Java, and Python can directly manipulate objects.

Using Machine Learning

R is an excellent tool for machine learning, too. Facebook performs a significant portion of its research on machine learning using R. Sentiment analysis and mood prediction are conducted using R. The best application of R in machine learning is when it comes to exploration or creating single-use models.

Database Car Interaction

R has numerous packages that enable it to communicate with databases. The most popular include Oracle, Open Database Connectivity Protocol), MySQL, and many more.

Inclusive Atmosphere Is the Best Aid

R is a complete development environment. It aids in statistical computing and the development of software. R is an object-oriented programming language. It also includes a robust R shiny package to create full-blown web applications. One can also use it in the development of software applications.

Why Is Softcrayon Gaining Attention These Days?

Softcrayon is based in Ghaziabad and is counted as the best R Programming Training Institute in Ghaziabad that holds attention.

You can make it easier for you with our advanced training system. You need to count these points that hold the space in your work.

Job placement and global certification are the best options we deliver to our students.

We are enhancing the training and practice sessions that make you perfect.

Softcrayon is the top-rated IT training Institute that makes your profession stronger.

 

Course Syllabus

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Program Core Credentials

Level

Beginner - Advance

Lecture

40 - 45

Certificate

softcrayons Certified

Resource

E-Books, Notes, etc.

Duration

2 - 3 months

Benefits of the Course

100% Placement Assistance

100% Placement Assistance

Softcrayons provides job oriented training to all students and they get job as soon as they complete their training

Live Projects Training

Live Projects Training

Softcrayons is the best Institute in Noida and Ghaziabad for Live Projects Training. we provide Complete Live Projects training with real-time scenarios for all our students

Mock Interview Session

Mock Interview Session

Sharpen your interview skills with our mock interview session. Gain confidence, receive feedback, and ace your next interview

Globally Recognized Certifications

Globally Recognized Certifications

Unlock global opportunities with our recognized certifications. Validate your skills and expertise, stand out in your field, and advance your career with confidence

Self-Assessment & Sharing

Evaluate your own skills and knowledge,
then share insights and feedback with peers for collaborative growth.

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CURRICULUM & PROJECTS

R Programming

  • Installation of R & R Studio
  • Features of R
  • Variables in R
  • Constants in R
  • Operators in R
  • Datatypes and R Objects
  • Accepting Input from keyboard
  • Important Built-in functions

  • Creating Vectors
  • Accessing elements of a Vector
  • Operations on Vectors
  • Vector Arithmetic

  • I statement
  • if…else statement
  • if else() function
  • switch() function
  • repeat loop
  • while loop
  • for loop
  • break statement
  • next statement

  • Formal and Actual arguments
  • Named arguments
  • Global and local variables
  • Argument and lazy evaluation of functions
  • Recursive functions

  • Creating matrices
  • Accessing elements of a Matrix
  • Operations on Matrices
  • Matrix transpose

  • Creating strings
  • paste() and paste0()
  • Formatting numbers and string using format()
  • String manipulation

  • Creating lists
  • Manipulating list elements
  • Merging lists
  • Converting lists to vectors

  • Creating arrays
  • Accessing array elements
  • Calculations across array elements

  • Understanding factors
  • Modifying factors
  • Factors in Data frames

  • Creating data frame
  • Operations on data frames
  • Accessing data frames
  • Creating data frames from various sources

  • Need for data visualization
  • Bar plot
  • Plotting categorical data
  • Stacked bar plot
  • Histogram
  • plot() function and line plot
  • pie chart / 3D pie chart
  • Scatter plot
  • Box plot

  • Important functions in stringr
  • Regular expressions

  • Load data into dataframe
  • Viewing the data
  • Selecting columns
  • Selecting rows
  • Reordering the rows
  • Pipe operator
  • Group operations
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Complete practical tasks designed to reinforce your learning and apply theoretical concepts. These assignments help you gain hands-on experience and prepare for real-world challenges.

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Enjoy uninterrupted access to all course materials and updates for as long as you need. Continue learning and revising at your own pace, whenever you want.

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