R Programming Training in Mumbai - 100% Job Oriented R Course
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R Programming Training in Mumbai

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Learn from Certified Experts

  • Program your sessions at your convenient timings.
  • Live presentation of features and practicals.
  • Real-time projects and certification path.
  • Affordable Costs by Best curriculum Planned by Industrial R Programming Specialist.
  • Delivered by 9+ years of R Programming Certified Expert.
  • Next R Programming Batch to Start this week– Enroll Your Name Now!

Price

INR 18000

INR 13000

Price

INR 20000

INR 18000

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+91-8376 802 119

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Upcoming Batches

26-Feb-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

21-Feb-2024
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

24-Feb-2024
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

(Class 3hr - 3:30Hrs) / Per Session

24-Feb-2024
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

(Class 4:30Hr - 5:00Hrs) / Per Session

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Learn at Home with ACTE

Online Courses by Certified Experts

Our Experts Will Teach You How To Be A R Programmer.

  • This course will help participants learn how R and RStudio can be installed and configured.
  • In addition, participants can create different data structures, including Vectors, Matrices, Factors, Data frames, and lists.
  • You can solve simple data issues using operators, conditions, loops, base features, and user-defined features.
  • Participants will understand and use various methods of data collection and handling such as external files, application family, standard expressions, dates and times, basic plotting, and the dplyr package.
  • You will learn via videos, PPTs and complete tasks, projects, and other activities that will improve learning results at times that are most convenient for you.
  • 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.
  • START YOUR CAREER WITH R PROGRAMMING COURSE THAT GETS YOU A JOB OF UPTO 5 LACS IN JUST 60 DAYS!
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs

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Course Objectives

R programmers can obtain jobs for various styles of jobs within the information Science trade. Since Data Scientists are scarce, each beginner and professional R programmer will access the data Science trade. There are several corporations like Facebook, Google, and Twitter similarly as developing startups that are using R to achieve their scientific goals.

    There is ever enough job gap for R programming. we'll offer directions to get places in analytics. Programmers with R jobs are running a large profit. R programmers are paid higher than the other programmers. Not only for specialists, however, but there is also in addition insufficiency in analytics for professionals with R programming skills. so it's manageable for freshers into this field once they're competent in R.

    Yes. At Dataquest, we've had several learners begin with no secret writing expertise and continue to get jobs as data analysts, data scientists, and data engineers. R may be a nice language for programming beginners to learn, and you do not need any prior expertise with code to choose it.

    The future of R programming is promising & is trending currently since it's an easy & straightforward language for those who are new programming. A knowledge person records, stores & analyzes information to draw meaningful insights from it. R is taken into account because it is the most applicable tool for economically handling information.

  • Open supply.
  • Platform freelance.
  • Machine Learning Operations.
  • Exemplary support for information haggle.
  • Quality plotting and graphing.
  • The array of packages.
  • Statistics.
  • Ceaselessly Growing.

    It is high in demand thanks to its applied mathematics packages, skillfulness, and graphical visual image. Most of the Fortune 500 hundred corporations, like Amazon, Google, Facebook, Genpact, and lots of others, use R programming for data analysis.

  • How to use the R language and its setting.
  • How to use R functions to manipulate data.
  • How to analyze and manipulate data with R.

What is the range of the R programming Certification Training Course?

    R has become the first tool for applied mathematics analysis and data science. With the trade facing a shortage of information scientists everywhere the globe skilled R programmers will enter.

What are the conditions for taking on this R Programming Certification Training Course?

  • Authentic Interest in applied mathematics Programming.
  • Basic Understanding of information purpose and system.
  • Ready to run R and RStudio.

What are the Tools and Technology used for R Programming Certification Training Course?

  • A popular R package for creating graphics.
  • A popular R package for efficiently manipulating data.
  • An R package for tidying up data sets.
  • An R package for reading in data.
  • R Studio.

What roles are offered by corporations for R Programming professionals?

  • Data somebody.
  • Business Analyst.
  • Data Analyst
  • Data image masterly.
  • Quantitative Analyst.
  • Cloud designer.
  • Platform Engineer.
  • Infrastructure Engineer.

Who has to learn R programming Certification Training Course?

    This field offers a number of the highest-paying jobs within the world nowadays. If you would like to enter the sphere of Data Science and earn a money-making wage, then you need to positively learn R.

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Overview of R Programming Training in Mumbai

The R Programming Certification Course in Mumbai covers database management, data display, predictive analysis, and descriptive R language analysis techniques. You will learn how to import and export information in R, data structures in R, different statistical ideas, analyze clusters and forecasts. R packages. R is a language noted for its power in statistical computation. Using R in data science makes it possible to extract insights from the data and these insights assist organizations to advance their competition. This course offers an introduction to the basics of R language with a particular focus on how this might be utilized in data science. You will learn how and what you can do with data, from reading and purification through manipulation and visualization. There will also be a variety of subjects covering Big Data and lifecycle data analysis, exploratory data analysis, an R package.

Additional Info

It utilizes an interpreter rather than a compiler, making code development easier. It successfully connects many databases and excels at bringing data in from Microsoft Excel, Microsoft Access, MySQL, SQLite, Oracle, and other sources. It's a versatile programming language that connects the worlds of software development with data analysis. It includes a wide range of packages that provide a wide range of codes, functions, and features for data analysis, statistical modeling, visualization, Machine Learning, and data importation and manipulation.It uses R packages to combine a variety of sophisticated tools for communicating reports in multiple formats such as CSV, XML, HTML, and PDF, as well as interactive webpages.

Model : R has a variety of tools for capturing the correct model for your data.

Communicate : Use R Markdown to integrate scripts, graphs, and outputs into a report, or create Shiny apps to share with the world.


Why You Choose R Programming?

Because R is an interpreted language, you can run your code without using a compiler. As a result, we can run code without using a compiler. R understands the code and makes it easy to write it. Many computations are carried out using vectors - because R is a vector language, anybody may add functions to a single vector without having to use a loop.

Learning Easy :

The Tidyverse is a huge set of R packages that greatly lowered the steep learning curve that R programming for Data Science presents. Tidyverse was created by Hadley Wickham and his colleagues with the goal of providing a uniform and structured programming interface that shared their concept of underlying design philosophy, grammar. Tidyverse was created by Hadley Wickham and his colleagues to provide a uniform and structured programming interface that shared their vision of unified underlying design philosophy, language, and data structures.

Data Manipulation :

The entire field of Data Science is concerned with acquiring data, cleaning it, organizing it, and extracting usable information from it using a variety of approaches and algorithms. Getting the data in the proper format so that it can be processed is a key element of this procedure.Data Wrangling is a sub-process that entails collecting relevant data and converting it into a useable format.

Visualization of Data :

Because the R programming language was created, this reason, visual display of data is one of the main takeaways. Data visualization is one of the most important phases in the data analysis process, and R makes it almost simple.R comes with numerous packages that suit the function and even give sophisticated analysis and representation choices, with visualization being the major focus. ggplot2, lattice, high charter, leaflet, dygraphs, sunburstR, and RGL are just a handful of the packages available.

Support for Topic-Specific Packages on a Broad Scale :

R has a large library for areas including Data Science, Machine Learning, Statistics, Econometrics, Finance, Management, and other fields where business analytics are important.When it comes to highly specific issues and use situations, implementing R for Data Science becomes considerably easier with these packages in hand. R is one of the most widely used programming languages for research by scholars and researchers since it focuses on displaying quantitative data using a range of approaches and packages. Statistics students, in particular, are heavily involved in programming language developments, as their growing demands influenced the development of R to meet those needs.

High Availability and Excellent Community Support :

Every programming language has its own community, but what distinguishes the good from the great is how active and supportive the developer community is. Fortunately, R has a very supportive community, where help is only a few keystrokes away and new issues are frequently handled together.This is excellent news for newcomers who have recently entered the realm of R and are eager to learn but are unfamiliar with the community. In case you're wondering, a strong community is critical to the adoption of any programming language.


Roles & Responsibilities

    The issue comes as to which sectors are employing R and making it the hot topic that it is. The following are several R programming jobs that can lead to your ‘R' enlightenment :

  • R Programmer– R programmers' role is to utilize their programming abilities to break down data and build tools that make data analysis easier. They employ data structures like vectors, matrices, and data frames to help them create quickly and efficiently.

  • Data Scientist– For R programmers, this is one of the most in-demand careers. A data scientist is in charge of developing and executing layouts for huge data sets, as well as data modelling, data mining, research, and prediction.

  • A data analyst- It should have a combination of technical and analytical skills. A data analyst should be skilled in locating, retrieving, wrangling, and delivering data-driven insights. In addition, a DA should be well-versed in database systems and machine learning.

  • Data Architect– Data architects are in high demand these days across a wide range of industries. Data architects work with a variety of data sources to combine and maintain them. To be relevant, they must be up to date on the latest technology, such as Spark. A data architect should also be knowledgeable in data warehousing, database architecture, ETL and BI technologies, data modeling, and system development.

  • Data Visualization Analyst– A data visualization analyst should be able to build and distribute interactive dashboards that provide all of the information needed to make important business decisions. They give a detailed graphical report that assists the company in forecasting and making decisions that will help it develop.

  • Geostatisticians- These experts are in charge of analyzing spatial and spatiotemporal datasets.

  • A database administrator- ensures that a database is accessible to all users who require a certain set of information. They make certain that every data is backed up and recovered. They must also be knowledgeable about data modeling, design, and security, as well as the industry in which they work.

  • Quantitative Analysis with R– Quantitative analysis guarantees that all portfolios are risk-balanced and help us identify new possibilities and assess all asset values using mathematical models in a variety of industries such as banking, telecommunications, and hospitality.


Benefits :

1. R is a free, open-source programming language :

R is released under an open-source license, allowing anybody to download and change the code. The phrase "free as in speech" is frequently used to describe this freedom. R is also accessible for free, which is frequently referred to as "free as in beer." In practice, this means that R is available for free download and usage.

Another advantage, albeit a little more oblique, is that anybody may view, change, and enhance the source code. As a consequence, many talented programmers have contributed to the R code with enhancements and corrections. As a result, R is extremely steady and dependable. It's crucial to note that the GPL has no bearing on how you use R. There are no requirements for using the program; the requirements are only for redistribution. In other words, if you modify or redistribute the R source code, you must make those modifications available to others.

2. R can be used in any situation :

The R Development Core Team has worked hard to make R available on a variety of hardware and software platforms. R is available for Windows, Unix systems (such as Linux), and Mac computers.

3. Extensions are possible in R :

R is capable of a wide range of tasks, including data processing, statistical modelling, and graphics. The extensibility of R, on the other hand, is a huge benefit. Developers may simply develop and publish their own software in the form of add-on packages.Thousands of these packages exist due to the relative simplicity with which they may be created. Many new statistical approaches are accompanied by an R package.

4. R has a thriving community :

Many R users ultimately start assisting new users and promoting R in their jobs and professional communities. They also participate in R mailing groups and question-and-answer websites like Stack Overflow, a programming Q&A site, and CrossValidated, a statistics Q&A site.

5. R has a lot of connections to other languages :

As more individuals switched to R for their studies, they began attempting to integrate R into their existing workflows, resulting in a slew of packages for connecting R to file systems, databases, and other applications. Many of these programs have now been included in the standard R installation. The RODBC package, which reads from databases using the Open Database Connectivity protocol (ODBC), and the ROracle package, which reads Oracle databases, are two examples of add-on packages that link R to database systems. The majority of R's code was written in Fortran and C at first. These two languages' code might simply be invoked from within R. C++, Java, Python, and other popular programming languages were more linked to R as the community developed.

The R Development Core Team created tools to read data from commercial programs, such as SAS Institute's SAS and IBM's SPSS because many statisticians also worked with them.Many of the major commercial packages contain R-related add-ons. SPSS, for example, provides a connection to R for its users, and SAS includes several protocols for moving data and images between the two systems.


Modules :

We may consider utilizing many files first and then sourcing them as a codebase expands. Functions are, of course, highly recommended for novice R users and are a necessary building component. Packages are the next level of abstraction that we have available. With the modules package, I'd want to provide a middle ground: local namespace declarations outside of R packages or within R packages. This functionality is implemented in a variety of ways and languages, including classes, namespaces, functions, packages, and, on occasion, modules. Languages that employ modules as a language construct include Python, Julia, F#, Scala, and Erlang (among others). Some of them are running concurrently with classes and packages.

Modules provide you the ability to build a new context and reuse names, among other things. To be clear, modules are not intended to be a replacement for packages. Instead, we could utilize them to construct local namespaces both within and outside of a package. Modules are somewhere between functions and packages on the abstraction scale: they can include functions and data. Functions, data, and modules can all be found in packages (furthermore documentation, tests, and are a solid way to share code).In certain types of scenarios, we overlook the importance of organizing the codebase. It's uncontrollable development that occurs when we're not paying attention. It occurs more frequently than we would like to acknowledge, and it is also preventable. Modules provide: Aside from all the excellent practices you may and should use, modules provide :

  • In one R session, a safe(r) method to source files
  • To avoid package name conflicts, follow these steps: (a) by importing individual functions, and (b) by importing them just locally.
  • Avoid naming conflicts between distinct portions of your codebase (perhaps files). You rely on objects in your global workspace in many instances. You may make them local by using modules.
  • Provide user interfaces while keeping the implementation hidden.
  • How and where to Install the Package on Your Computer
  • Using your favorite method, launch R. (icon on the desktop, Start Menu, dock, etc.)
  • In the top menu, select "Packages," then "Install package(s)."
  • Select the mirror that is nearest to your current location.
  • Now it's up to you to decide which packages to install.

Pay Scale :

A qualified R professional with less than one year of experience or new to the job market makes an average of Rs 392K per year, including bonuses, overtime, and tips. A data analyst with R skills and 1-4 years of industry experience may expect to earn about Rs 500K per year. While yearly wages for R Programmers range from 540K (25th percentile) to 114K (75th percentile) on Recruiter, the bulk of R Programmer salaries presently range from 54Lakhs (25th percentile) to 131K (90th percentile) in the United States.

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Key Features

ACTE Mumbai offers R Programming Training in more than 27+ branches with expert trainers. Here are the key features,

  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.

Curriculum

Syllabus of R Programming Course in Mumbai
Module 1: Introduction to Data Analytics
    Objectives:
    • This module introduces you to some of the important keywords in R like Business Intelligence, Business Analytics, Data and Information.
    • You can also learn how R can play an important role in solving complex analytical problems.
    • This module tells you what is R and how it is used by the giants like Google, Facebook etc.
    • Also, you will learn use of ‘R’ in the industry, this module also helps you compare R with other software in analytics, install R and its packages.
    Topics
    • Business Analytics, Data, Information
    • Understanding Business Analytics and R
    • Compare R with other software in analytics
    • Install R
    • Perform basic operations in R using command line
    • Learn the use of IDE R Studio
    • Use the ‘R help’ feature in R
    Module 2: Introduction to R programming
    Objectives:
    • 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.
    Topics
    • Variables in R
    • Scalars
    • Vectors
    • Matrices
    • List
    • Data frames
    • Using c, Cbind, Rbind, attach and detach functions in R
    • Factors
    Module 3: Data Manipulation in R
    Objectives:
    • 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.
    Topics
    • Data sorting
    • Find and remove duplicates record
    • Cleaning data
    • Recoding data
    • Merging data
    • Slicing of Data
    • Merging Data
    • Apply functions
    Module 4: Data Import techniques in R
    Objectives:
    • 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.
    Topics
    • Reading Data
    • Writing Data
    • Basic SQL queries in R
    • Web Scraping
    Module 5: Exploratory Data Analysis
    Objectives:
    • 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.
    Topics
    • Box plot
    • Histogram
    • Pareto charts
    • Pie graph
    • Line chart
    • Scatterplot
    • Developing graphs
    Module 6: Overview of Machine Learning techniques
    Objectives:
    • This module touches the base Statistics, Machine learning techniques used in the Industry and will cover case studies.
    Topics
    • Standard deviation
    • Outlier
    • Linear regression
    • Multiple regression
    • Logistic regressions
    • Correlation
    Module 7: Project Work
    • 1 Real-time project
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Hands-on Real Time R Programming Projects

Project 1
Movie Review Sentiment Analysis using R

Learn to classify the sentiment of sentences from the Rotten Tomatoes dataset. You will be asked to label phrases on a scale of five values: negative, somewhat negative.

Project 2
Santander Customer Satisfaction

In this machine learning project, we will use hundreds of anonymized features to predict if customers are satisfied or dissatisfied for one of the biggest banks Santander.

Project 3
Predict Wine Preferences of Customers

In this machine learning project, you will build predictive models to identify wine preferences of people using physiochemical properties of wines.

Project 4
PUBG Finish Placement Project in R

In this project, we will try to predict how often players playing a video game called PUBG will win when they play by themselves.

Our Top Hiring Partner for Placements

All students and professionals who have completed our course or have completed our online training can take ACTE Mumbai courses. Some of our students work at the following companies.

  • Top firms like consulting Huquo Pvt. Ltd., Satori Group, Carbynetech, Fractal, and Guidehouse collaborate with us. It allows us to place our students in major MNCs around the world.
  • We provide separate student websites, announce each interview schedule, and notify you through email.
  • We will schedule interview calls for students and prepare them for face-to-face contact once they have completed 70% of the R Programming training course curriculum.
  • R Programming Instructors assist students in developing resumes that are relevant to current industry expectations.
  • We have a specialised Placement assistance staff that helps students secure their position accordingly.
  • We will organise Mock Exams and Mock Interviews to determine the Candidate Knowledge Gap.

Get Certified By R programming & Industry Recognized ACTE Certificate

Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees.

Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.

Complete Your Course

a downloadable Certificate in PDF format, immediately available to you when you complete your Course

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a physical version of your officially branded and security-marked Certificate.

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About Experienced R Programming Trainer

  • Our R Programming Training in Mumbai instructors are highly qualified talented experts with more than 9+ years of experience in their industries and are now employed by top multinational corporations.
  • Trainers will utilize these projects throughout training sessions because they are all R Programming domain working specialists with a large number of active projects
  •  Instructors work for businesses such as Huquo Pvt. Ltd., Satori Group, Carbynetech, Fractal, Guidehouse, TCS, HCL Technologies, etc.
  • Trainers can also help candidates be hired by using the Employee Referral / Internal Hiring technique.
  • Our instructors are industry experts and subject matter experts that have extensive experience in operating systems and can provide the Best R Programming Training to the students.
  • We have received various prestigious awards for R Programming Training in Mumbai from recognized IT organizations.

R Programming Course Reviews

Our ACTE Mumbai Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.

Mahi

I finish my R Programming training in ACTE at Mumbai. It was good and the trainee Mr. sai taught me very well and this training is very help full tome.thank you ACTE , suggest to everyone for learning R Programming is the best institute. Thanks to ACTE.

Mani

I had such a great experience in ACTE institute it's not just one side teaching there's a lot of two way interaction and I got to learn so much with real time scenarios.The teachers here are so friendly we can get to attend classes very flexibly.I have completed the R Programming course in this institute in velachery

Kamal

Software Engineer

Thank you very much for your great support in ACTE trainers in omr. The way of teaching is very good, he explains all the topics by giving real time examples and give real time logic to work in the tool. Most importantly very flexible with the session timings.

Divya

It's one of the best institution is ACTE for freshers to learn R Programming course and one who wanted to improve their technical skills...very good teaching faculty and friendly environment in Banglore.

Jai Chitthra

Student

One of good better best teaching center is ACTE and they provide 100% support to get placement in R Programming and the training method is excellent by giving assignment, conducting test and solving errors there is Bright future for ACTE joiners only thanks to ACTE at Porur for giving that kind of support grown up my carrier special .

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R Programming Course FAQs

Looking for better Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
  • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
  • More than 3500+ students placed in last year in India & Globally
  • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
    ACTE Gives Certificate For Completing A Course
  • Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire R Programming training has been built around Real Time Implementation
  • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
  • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn R Programming Course At ACTE?

  • R Programming Course in ACTE is designed & conducted by R Programming experts with 10+ years of experience in the R Programming domain
  • Only institution in India with the right blend of theory & practical sessions
  • In-depth Course coverage for 60+ Hours
  • More than 50,000+ students trust ACTE
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students
  • Interview tips and training
  • Resume building support
  • Real-time projects and case studies
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each R Programming batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in R Programming. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at +91 93800 99996 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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