Course Overview

Course Duration : 3 Months

R is the main programming language used for statistical computing and data analysis. Though on the difficult side, it delivers the best results for data sorting, cleaning, analysing, and graphing. This is the main reason why R programming is an integral part of machine learning, artificial intelligence, and data science. A strong course like DigiAcharya’s R programming course will set you on a path of a strong career in any field that utilises R programming.

DigiAcharya has carefully curated an R programming course that covers developing debugging tools and R loop functions, constructing statistical programming software, and deeply understanding important programming language concepts. The course also includes installing packages, building matrices, tackling real-industry problems, and working on live projects. R programming is a vital programming language that can open avenues for many different in-demand professions, so choose DigiAcharya’s R programming course for a future-ready career.

Our program is suitable for

DigiAcharya’s R programming is one of the best courses you can pursue after your higher secondary(12th). All you need is a final percentage of 50% or more. Since this course is so career-oriented, professionals who fit the criteria can also pursue the R programming course through DigiAcharya. This course can do wonders for your career.

Build fun and useful projects

Create websites for your business

Upskill and gain better opportunities

Course Module

Module 1 - GETTING STARTED WITH R

This module deals with making R more friendly. It is the basics of R and available GUIs. The R environment and elated software and documentation is taught. R and statistics and using R interactively is a part of this module.

Module 2: SIMPLE MANIPULATIONS; NUMBERS AND VECTORS

This module deals with defining Vector Properties Creating, Combining, and Iterating Passing and Returning Vectors in Functions Logical Vectors Vectors and assignment etc. After completing this module, students will be able to generate regular sequences, Logical vectors Missing values and Character vectors.

Module 3: OBJECTS, THEIR MODES AND ATTRIBUTES

This module deals with Intrinsic attributes: mode and length and changing the length of an object. After completing this module, students will be able to get and set attributes and the class of an object.

Module 4: ORDERED AND UNORDERED FACTORS

This module deals with quotation Marks and Special Characters, String Indexing, Slicing Strings, Concatenation and String Formatting. After completing this module, students will be able to work with strings. Escape special characters work with multi-line strings like Index and slice strings. Use common string operators and methods and format strings all while using built-in string functions.

Module 5: ARRAYS AND MATRICES ARRAYS

This module deals with Array indexing. Subsections of an array Index matrices The array() function. After completing this module, students will be able to understand: Least-squares fitting and the QR decomposition Forming partitioned matrices, cbind() and rbind()

Module 6: LISTS AND DATA FRAMES

This module deals with Constructing and modifying lists Concatenating lists Data frames. Making data frames. After completing this module, students will be able to: Work with data frames, attach arbitrary lists and Manage the search path.

R Programming Platforms & Tools

R-Programming tools can be convenient for many different purposes if you know how to use them right

HADOOP

Selenium

Keras

Robot Framework

Theano

What skills you will gain

Getting basics right

You shall learn how to use the basic R syntax. Students shall also explain various concepts, includiong objects, assignments, vector and data types. Additionally, one shall learn the usage of factors and a few basic functions.

Updating R Packages

Students learn to describe the R package and efficiently install and update it. They also can view the packages installed on the system. They learn to build & work with functions of R packages.

Build Functions

By the end of our course, students can explain why we should divide programs into small, single-purpose functions. They can also use a function that takes parameters (input values). They begin to return & set default values function parameters.

Getting basics right

Getting basics right

You shall learn how to use the basic R syntax. Students shall also explain various concepts, includiong objects, assignments, vector and data types. Additionally, one shall learn the usage of factors and a few basic functions.

Updating R Packages

Updating R Packages

Students learn to describe the R package and efficiently install and update it. They also can view the packages installed on the system. They learn to build & work with functions of R packages.

Build Functions

Build Functions

By the end of our course, students can explain why we should divide programs into small, single-purpose functions. They can also use a function that takes parameters (input values). They begin to return & set default values function parameters.

Career Roles

Python Programming Course from Digi Acharya allows the candidates to explore a new world of enormous opportunities. With this course, one can keep upskilling and aim at the top-most government or private institutions worldwide.

Choose a job as a R Programmer in a renowned institution

Be a Quantitative Analyst with R for a business chain

Get ready to be a Data Base Administrator with public or private sectors

Opt for a data scientist job under the IT sector of banks

Want to have an ever-blooming career with desirable paychecks?

Want to have an ever-blooming career with desirable paychecks?

FAQ's

Time to completion can vary based on your schedule and experience level, but most learners can complete the Specialisation in about 8 months.

This Specialisation is designed to serve as an on-ramp for programming and has no pre-requisites. The pace of the course is aimed at those with no programming experience at all.

Octave and MATLAB, step aside. R isn’t just for casual programming—leading companies in various fintech fields are using it. For example, Bank of America’s Quartz and J.P. Morgan’s ATHENA platforms both use R, and big companies like Google, Facebook, Instagram, and Spotify also use Python in their development. Many companies like Citigroup also require their data analysts to master R and take training classes.