R-Programming
4.5/5

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.

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Course Highlights

  • Instructor-Led Training
  • Exercises & Project Work
  • Programming Assignments
  • Custom learning modes
  • Guaranteed to run schedules
  • 24 x 7 Lifetime Support & Access
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

Upon course completion, the learners are expected to learn:

  • 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
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Target Audience

The course is expertly crafted to help:

  • IT professionals working or looking to build their career in the field of Data Analytics and Data Science
  • Software programmers looking to make a switch to the analytics field
  • Data Engineers
  • Business Analysts
  • Business Intelligence Analysts
  • Data Scientists
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
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