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R-Programming Training Course in Delhi and Dehradun

R-Programming Training Course



R is a dominant open-source programming language in the field of data analysis, statistics and data visualization. The ability to provide high-end support to statistical and graphical techniques such as linear/ nonlinear modelling, time-series analysis, clustering and many more, makes it highly extensible and popular amongst data analysts and data scientists. Used for statistical computing, R language helps in effective data manipulation across enterprisess.
Best Project based Internship on R-Programming Training Course in Delhi and Dehradun, Uttarakhand.

Course Highlights

  • Instructor-led Classroom and Online
  • Training modes
  • Best-in-Class Training Curriculum
  • Beginner to Expert Level Training
  • Hands-on Programming Practice
  • Pro-Python Tips & Tricks Practice Activities
  • Unlimited Access - Online or Offline Flexible Guaranteed to Run Schedules
  • Self-Paced Learning

Pre-Requisite

The R programming course is meant to best-fit the learning needs of individuals from statistical background and programmers. Familiarity with programming languages like Java or Python can be helpful, though not mandatory

Course Content

  • Introduction to R and RStudio
  • Business analytics foundation with R tools
  • Introduction to Analytics
  • Data structures: vectors, matrices, lists and data frames
  • Reading data into R from various data sources
  • Merging data across data sources Statistical concepts and their application in business
  • Basic analytic techniques Using R Predictive modelling techniques
  • Statistical modelling functions: lm and glm
  • Creating functions
  • Iterating with R: logic and flow control
  • Extending R with add-on packages and the R ecosystem
  • Working with Graphics

Course Description

R is a dominant open-source programming language in the field of data analysis, statistics and data visualization. The ability to provide high-end support to statistical and graphical techniques such as linear/ nonlinear modelling, time-series analysis, clustering and many more, makes it highly extensible and popular amongst data analysts and data scientists. Used for statistical computing, R language helps in effective data manipulation across enterprises.
Learn the coherent, integrated collection of intermediate tools for data analysis through the comprehensive R programming course at Brillica Services. Our team of certified and experienced instructors helps

you get equipped with the across-the-board understanding of the statistical computing tools, effective data handling, working on vectors, drafting R scripts and much more.
Brillica Services is an authorized and leading training institute to offer an assignment-based approach to help you acquire cutting-edge R programming skills. The R programming training course offers a brilliant blend of official curriculum delivery to help beginners and experienced data analytics professionals through diverse modes in custom schedules to meet your learning needs on the go.

Course Objectives

R-Programming Training Course at Brillica Services Delhi and Dehradun,Uttarakhand Helps You to :

R fundamentals

Installing Rstudio and work on the R interface

Basics of R programming including objects, classes, vectors, attributes etc

Configuring statistical programming software

Using R loop functions and debugging tools

Using R profiler to collect detailed information

Selecting and modifying values Execute calculation on arrays, in particular, matrices R Notation, S3 System and Closures

Statistical and graphical techniques

R-Programming Training Schedule and Duration

Course Name Duration
R-Programming 2 Month

Upcoming Training Schedule

Month Weekdays Weekends Mode
October-2021 11/10/21 and 25/10/21
2 hours(Monday-Thursday) per day
16/10/21 and 17/10/21
3 hours(Saturday-Sunday) per day
Online/Offline
November-2021 15/11/21 and 30/11/21
2 hours(Monday-Thursday) per day
20/11/21 and 21/11/21
3 hours(Saturday-Sunday) per day
December-2021 13/12/21 and 27/12/21
2 hours(Monday-Thursday) per day
18/12/21 and 19/12/21
3 hours(Saturday-Sunday) per day
January-2022 03/01/22 and 24/01/22
2 hours(Monday-Thursday) per day
15/01/22 and 16/01/22
3 hours(Saturday-Sunday) per day
Feburary-2022 07/02/22 and 14/02/22
2 hours(Monday-Thursday) per day
19/02/22 and 20/02/22
3 hours(Saturday-Sunday) per day

FAQs R-language Training Course

Ans. R is a programming language and software environment for statistical analysis, graphics representation, and reporting.
This programming language was named R, based on the first letter of the first name of the two R authors (Robert Gentleman and Ross Ihaka), and partly a play on the name of the Bell Labs Language S.

Ans. R programming is better suited for statistical learning, with unmatched libraries for data exploration and experimentation. Python is a better choice for machine learning and large-scale applications, especially for data analysis within web applications.

Ans. Whereas R-language can be difficult for beginners to learn due to its non-standardized code, Python is easier and has a smoother linear curve. In addition, Python requires less coding time since it's easier to maintain and has a syntax that's similar to the English language.

Ans. R-language is known for being hard to learn. This is in large part because R is so different from many programming languages. The syntax of R, unlike languages like Python, is very difficult to read. Once you've mastered the basics, you have the knowledge and mindset you need to explore more difficult concepts.

Ans. If you have experience in any programming language, it takes 7 days to learn R programming spending at least 3 hours a day. If you are a beginner, it takes 3 weeks to learn R programming.

Ans. SQL is very easy to grasp. If you think SQL is difficult, that's probably because you haven't learned it yet! If you're already fed up with me telling you how easy SQL is to learn and are ready to get into it, check out this SQL Basics course for a great introduction.

Ans. If you're passionate about the statistical calculation and data visualization portions of data analysis, R could be a good fit for you. If, on the other hand, you're interested in becoming a data scientist and working with big data, artificial intelligence, and deep learning algorithms, Python would be the better fit.

Ans. R Language is very important when it comes to statistical analysis and data science. Many of you might think of R as a statistical package, but it is not. This language is the preferred language of statisticians and data analysts and it is used extensively for data analysis because of its interactive nature..

Ans. It is high in demand due to its impressive statistical packages, versatility, and graphical visualization. Most of the Fortune 500 companies, such as Amazon, Google, Facebook, Genpact, and many others, use R programming for data analysis. This makes R a popular and in-demand language in 2020.

Ans. R language is primarily used for descriptive statistics. Descriptive statistics summarize the main features of the data. R is used for a variety of purposes in summary statistics like central tendency, measurement of variability, finding kurtosis, and skewness. R is most widely used for exploratory data analysis.


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