Best R Programming Course in Navi Mumbai

R Programming Course in Navi Mumbai

There is no such thing as the best Course or the worst ones. Sounds strange but this is true! No matter what a training institute claims about its training faculty or infrastructure, you might find that most of the times all the claims were hollow.

Due to the huge demand of R Programming, training institutes offering R Programming Course in Navi Mumbai are mushrooming even in dingy lanes across the country. So, you need to check thoroughly over the web about the authenticity of all the claims. What matters is that there should be a good student-teacher ratio, infrastructure, and provision of imparting hands-on training so that the learning outcomes are positive.

R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. Polls, data mining surveys, and studies of scholarly literature databases show substantial increases in popularity, as of February 2020, R ranks 13th in the TIOBE index, a measure of popularity of programming languages.

Many features of R derive from Scheme. R uses S-expressions to represent both data and code. Functions are first-class and can be manipulated in the same way as data objects, facilitating meta-programming, and allow multiple dispatch. Variables in R are lexically scoped and dynamically typed. Function arguments are passed by value, and are lazy—that is to say, they are only evaluated when they are used, not when the function is called.

Course description for R programming course in Navi Mumbai –

In Introduction to R, you will master the basics of this widely used open-source language, including factors, lists, and data frames. With the knowledge gained in this course, you will be ready to undertake your first very own data analysis. Oracle estimated over 2 million R users worldwide in 2012, cementing R as a leading programming language in statistics and data science. Every year, the number of R users grows by about 40%, and an increasing number of organizations are using it in their day-to-day activities.

Following is the R programming Course in Navi Mumbai syllabus:

R Language

……………………

Introduction to R language

Overview – Evolution & Features

Installation & Environment Setup

Basics Of R Programming

Variables & Data Types

Various Operators like Arithmetic, Relational, Logical, Assignment

Decision Making Statements

Continuation of R programming Course in Navi Mumbai syllabus:

Data Types & Data Structures In R

Creating and manipulating basic data structures: Vector, Factor, List,

Dataframe , Matrices , Arrays

Generating factor levels and changing their orders

Using c() and seq() function.

Data Import & Export

Working with xlsx package and reading an excel file

Reading, Analyzing and writing into a CSV file

Writing and reading a binary file

Various courses offered by R programming language course in Navi Mumbai:

The R Programming Training allows R programming learners to learn about essential concepts such as basic syntax, data types, structures, and manipulate R objects step by step. This R Programming Training in India course assists students to obtain significant statistical computing abilities, such as reading R data, accessing R-package, R-code profiling, debugging, organizing, and commenting on the R-code, which are necessary for R-programmers.R programming is on so many levels of language. Not only that R has been made a very versatile programming language by so many various forms of statistics. Although you may receive your R Programming Class training in numerous places. You will be well informed in essential areas such as R function, R source code, R data types, R command lines, time series analysis, linear and logistic return, task operation by the end of this training course.

Experts in project practice and working in IT companies

You can use operators, conditions, loops, basic functions, and user-defined functions to solve simple data problems.

Students understand and use various methods of collecting and processing data, such as external files, application series, standard expressions, date and time, basic graphics functions, and the dplyr package.

Learn through videos, PPT and completing assignments, projects, and other activities to improve your learning results at your convenience.

Concepts: Data Analytics, The important keywords in R like Business Intelligence, Business Analytics, Data and Information, the basics of R programming like datatypes and functions, Data Manipulation in R, Data Import techniques in R, Exploratory Data Analysis, Overview of Machine Learning techniques, Project Work.

In this course, participants will learn how to install and configure R and R Studio.

In addition, students can create various data structures, including vectors, matrices, factors, data frames, and lists.

Benefits of Learning R Programming :

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R is very utilized in most biotechnology, bioinformatics, and medical statistics. It offers users access to a considerable range of leading-edge packages, a variety of them are RODBC, G-models, Class, and metallic elements enabling the straightforward implementation of Machine Learning algorithms.
Statistics and information Science : R is the commonplace language for Statistics and Information Science. R was developed for statistics, by statisticians. 3. Statisticians and information Scientists are more awake to R than the opposite artificial language.
Vast, spirited community and resource bank : R boasts of an enormous community to faucet into whenever the user desires to facilitate. So, he or she will invariably look for help from those who have worked on similar things. Users also can collaborate with others to share ideas, work on comes, and vie in information Science contests.
R Programming is utilized at intervals in the monetary domain to form economic science models, analyze deceitful transactions.
It is utilized by medium sectors for Subscriber identification, Churn Management, and personal advertising
It is utilized in procedure biology to perform genomic analysis.
Programming Language like R simply does not help within the technical fields, it’ll even be an excellent facility within the business.
Cross-platform compatible : One of the foremost vital benefits of R is that the user will merely run R on many different operating systems and varied code or Hardware.
R can run seamlessly despite whether or not the user is functioning on a Linux-based, Mac, or Windows system.
Here, the main reason is that R is an ASCII text file, thus it should be changed and decentralized as per the user’s wants. It’s nice for mental image and has far more capabilities as compared to alternative tools.
For data-driven businesses, associate degree absence of knowledge Scientists is also an enormous concern. Firms square measure victimization R programming as their core platform and are also recruiting trained R programmers.
Great Visualisation: R provides packages like ggplot2, ggvis, and plenty of additional features to make wonderful visualizations. These packages facilitate in making print-quality graphs that may be revealed in any international magazine.
Open-source and freely available : R is an ASCII text file artificial language. This implies that anyone will work with R with no want for a license or a fee.

It is conspicuously referred to as the language of statistics. This is often the foremost reason why R is dominant among alternative programming languages for developing applied math tools.

A graphics-based programming language used for applied mathematics computing, analysis, and visualizations key aspects in Machine Learning. R may be a full-fledged code with Object-Oriented language, support purposeful & procedural language. Simply programmable code additionally supports Machine Learning development libraries & tools. R is a free and ASCII text file which implies users will access it simply and learn from the ASCII document and may modify it as per their desires.

Real-Life Use Cases of R Language :

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Facebook – Facebook uses R to update its standing and its social network graph. It’s conjointly used for predicting colleague interactions with R.
Ford Motor Company – Ford depends on Hadoop. It conjointly depends on R for applied mathematics analysis additionally as winding-up data-driven support for the higher cognitive process.
Google – Google uses R to calculate ROI on advertising campaigns and to predict the economic activity and conjointly boost the potency of online advertising.
Foursquare – R is a vital stack behind Foursquare’s far-famed recommendation engine.
John Deere – Statisticians at industrialist use R for statistical modeling and conjointly geospatial analysis during a reliable and duplicatable method. The results area unit then integrated with stand out and SAP.

R applications don’t seem to be enough till you don’t acumen people/companies area unit exploitation the R artificial language.

Microsoft – Microsoft uses R for the Xbox matchmaking service and conjointly as an applied mathematics engine at intervals the Azure metric capacity unit framework.
Mozilla – It’s the inspiration behind the Firefox applications program and uses R to examine net activity.
New York Times – R is employed within the news cycle at The big apple Times to crunch knowledge and prepare graphics before they’re going for printing.
Thomas Cook – Thomas Cook uses R for prediction and conjointly mathematical logic Systems to automate worth settings of their unpunctual offers.
Twitter – R is an element of Twitter’s knowledge Science chest for classy applied mathematics modeling.

Curriculum

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Topics

……………

Module 1:

……………..

Business Analytics, Data, Information

Understanding Business Analytics and R

Perform basic operations in R using command line

Learn the use of IDE R Studio

Use the ‘R help’ feature in R

Compare R with other software in analytics

Install R

Module 2:

……………..

Topics

Variables in R

Scalars

Vectors

Matrices

List

Data frames

Using c, Cbind, Rbind, attach and detach functions in R

Factors

Introduction to R programmingObjectives:

This module starts from the basics of R programming like datatypes and functions.

In this module, we present a scenario and let you think about the options to resolve it, such as which datatype should one to store the variable or which R function that can help you in this scenario.

You will also learn how to apply the ‘join’ function in SQL.

Module 3:

……………..

Topics

Data sorting

Find and remove duplicates record

Cleaning data

Recoding data

Merging data

Slicing of Data

Merging Data

Apply functions

Data Manipulation in RObjectives:

In this module, we start with a sample of a dirty data set and perform Data Cleaning on it, resulting in a data set, which is ready for any analysis.

Thus using and exploring the popular functions required to clean data in R.

Module 4:

……………….

Topics

Reading Data

Writing Data

Basic SQL queries in R

Web Scraping

Data Import techniques in RObjectives:

This module tells you about the versatility and robustness of R which can take-up data in a variety of formats, be it from a csv file to the data scraped from a website.

This module teaches you various data importing techniques in R.

Module 5:

……………..

Topics

Box plot

Histogram

Pareto charts

Pie graph

Line chart

Scatterplot

Developing graphs

Exploratory Data AnalysisObjectives:

In this module, you will learn that exploratory data analysis is an important step in the analysis.

EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis. You will also learn about the various tasks involved in a typical EDA process.

Module 6:

……………….

Topics

Standard deviation

Outlier

Linear regression

Multiple regression

Logistic regressions

Correlation

Overview of Machine Learning techniquesObjectives:

This module touches the base Statistics, Machine learning techniques used in the industry and will cover case studies.

R language programming course in Navi Mumbai also included specially designed courses for kids like: Digital graphics, Digital graphics + 2D animation, Digital film making, Fashion Designing, Jewellery designing, etc.

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