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

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  • Learn from Scratch levels on R Programming Training.
  • Continuance Way for Student’s Portal with Study Materials and videos.
  • Get In-Depth Learning about the R Programming Training.
  • 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!


INR 18000

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INR 20000

INR 18000

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Upcoming Batches

25- Sep- 2023

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

27- Sep- 2023

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

30- Sep- 2023

Weekend Regular

(10:00 AM - 01:30 PM)

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

30- Sep- 2023

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

Experts in project practice and working in IT companies

  • 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.
  • 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.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs


Course Objectives

    R is a statistical programming language created by scientists that includes open source statistics, machine learning, and data science libraries. R's breadth of topic-specific packages and communication infrastructure buttons make it a good fit for business.

    A data analyst with R skills and 1-4 years of industry experience can expect to earn roughly Rs 5,00,000 per year. R professionals with 5 to 9 years of experience may expect to earn roughly ₹ 6,80,000 per year. As you gain more skill, you will be able to earn more.

  • tidyr.
  • readr.
  • purrr.
  • ggplot2.
  • dplyr.
  • You need to know the fundamentals of every language of programming.
  • A thorough knowledge of mathematics and statistics should be included.
  • You ought to be well aware of the graphs and plots used for visualizing results.

    Future of R programing language is bright because of the very fact that enormous business organizations like open supply platforms, tools, and technologies for the analysis of the huge important knowledge. However, R programming has been prosperous in creating control within the minds of massive organizations. A career in R is a wonderful selection even for those that are already within the knowledge science domain and searching to upgrade their career to the following level.

  • The open source.
  • Significant graphic capacities.
  • The highly active Group.
  • A wide range of packages.
  • Environmentally complete.
  • Can do complex calculations for statistics.
  • Computing distributed.
  • Code Runs Without a Compiler.

    The course is created from each theoretical & sensible category that teaches the fundamentals of every module followed by high-intensity sensible sessions of finishing every Module that connected current challenges and wishes of the business which will demand the students’ time and commitment. Our R Programming Institute is meant to grant an active approach to the scholars in R Programming.

Does R Programming can be learned Without any programming background?

    Most of the R libraries are written in R, except for serious machine tasks, C, C++, and algebraic language codes are required for R programming.

What skills are covered by the R programming Certification Training Course?

  • Business analytics.
  • R programming and its packages.
  • Data structures and data visualization.
  • Apply functions and DPLYR functions
  • Graphics in R for data visualization.

Can I get a placement after the R Programming Certification Training Course?

  • The careers in R programming also include machine learning and AI.
  • Business intelligence is additionally a field that has the benefits of R.
  • Specialists of commercialism markets will examine the trends and analyze stock markets, market dynamics, etc.
  • Correct mathematical data, money analysis skills, programming expertise, and required for following this path in the data.

What are the purposes of our R programming Certification Training Course?

  • Understand the use of the R and RStudio interactive atmosphere.
  • Develop R by connecting R packages.
  • Examine and learn how to do the R documentation.
  • State Structured Data into R from different sources.
  • Explain the various data types in R.
  • Learn the various data structures in R.

Who should take this R programming Certification Training Course?

    This training is suitable for fresher, graduates similarly as postgraduates. If you are a specialist who needs to shine your talent, then also you'll be able to be a part of this training.

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Overview of R Programming Training in India

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. 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. 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.

Additional Info

Environment of R :

    R is an integrated suite of package facilities for information manipulation, calculation, and graphical show. It includes

  • an effective information handling and storage facility,
  • a suite of operators for calculations on arrays, in particular matrices,
  • a large, coherent, integrated assortment of intermediate tools for information analysis,
  • graphical facilities for information analysis and show either on-screen or on hardcopy, and
  • a well-developed, simple, and effective programming language which includes conditionals, loops, user-defined algorithmic functions, and input and output facilities.
  • The term “environment” is meant to characterize it as a planned and coherent system, instead of a progressive accretion of terribly specific and inflexible tools, as is often the case with different information analysis packages. R, like S, is meant around a real computer-oriented language, and it permits users to feature further practicality by processing new functions. A lot of the system is itself written within the R idiom of S, which makes it straightforward for users to follow the recursive selections created.

    For computationally-intensive tasks, C, C++, and algebraic language code are joined and referred to as at the run time. Advanced users will write C code to control R objects directly. Many users consider R as a statistics system. We tend to choose to consider it as an atmosphere among that applied math techniques are enforced. R is extended (easily) via packages. There are eight packages furnished with the R distribution and plenty of additional are accessible through the displacement unit family of websites covering an awfully wide selection of recent statistics. R has its LaTeX-like documentation format, which is employed to produce comprehensive documentation, each online during a range of formats and in hardcopy.

Features of R :

  • It is a free and ASCII text file artificial language issued under GNU (General Public License).
  • It has a cross-platform ability which implies that its distributions run on Windows, Linux, and Mac. R code will simply be ported from one platform to a different.
  • It uses an interpreter rather than a compiler, which makes the event of code easier.
  • It effectively associates different databases, and it will transfer information from Microsoft stand out, as well as, Microsoft Access, MySQL, SQLite, Oracle, etc.
  • It is a versatile language that bridges the gap between computer code Development and information Analysis.
  • It provides a large sort of packages with a diversity of codes, functions, and options tailored for information analysis, applied mathematics modeling, visual image, Machine Learning, and mercantilism, and manipulating information.
  • It integrates numerous powerful tools to speak reports in several forms like CSV, XML, HTML, and pdf, and additionally through interactive websites, with the assistance of R packages.

Steps to perform Information Analysis in R :

1. Import :

The primary step is to import information into the R setting. It implies that you're taking the information kept in files, databases, hypertext markup language tables, etc., and cargo it into an associated R information frame to perform information analysis thereon.

2. Transform :

During this step, first, we tend to create our information tidy by creating every column a variable, and every row associates observation. Once we've got tidy information, we tend to slender down thereon to seek out observations of our interest, produce new variables that square measure functions of existing variables, and realize outline statistics of the observations.

3. Visualization :

It's wont to create a lot of intelligible by representing information in a graphical kind. Visualization makes it straightforward to acknowledge patterns, realize trends, and exceptions in our information. It allows the United States of America to convey data and ends up in a fast and visual method.

4. Model :

Models are complementary tools for visualization. These square measure essentially mathematical or procedure tools wont to answer queries associated with our observations.

5. Communication :

During this last step of knowledge analysis, we tend to target the results from visualization and modeling with others. R provides the convenience to provide well-designed print-quality plots for sharing worldwide.

Is R difficult?

Years ago, R was a tough language to master. The language was confusing and not as structured because of the alternative programming tools. To beat this major issue, Hadley Wickham developed a group of packages known as tidyverse. The rule of the sport was modified for the simplest. Information manipulation has become trivial and intuitive. Making a graph wasn't therefore tough any longer. The best algorithms for machine learning are often enforced with R. Packages like Keras and TensorFlow afford the creation of high-end machine learning techniques. R additionally features a package to perform Xgboost, one of all the simplest algorithms for the Kaggle competition.

R will communicate with the opposite language. It's doable to decide Python, Java, C++ in R. the globe of massive information is additionally accessible to R. You'll connect R with totally different databases like Spark or Hadoop. Finally, R has evolved and allowed the parallelizing operations to hurry up the computation. R was criticized for victimizing just one central processing unit at a time. The parallel package enables you to perform tasks in several cores of the machine.

Benefits of Learning R Programming :

    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.

    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. A number of the advantages of Learning R programming include :

  • 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.

  • 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.

  • 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.

  • 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.

  • Statistics and information Science : R is the commonplace language for Statistics and Information Science. R was developed for statistics, by statisticians. Statisticians and information Scientists are more awake to R than the opposite artificial language.

Benefits of Learning R Programming For Business :

    Programming Language like R simply does not help within the technical fields, it'll even be an excellent facility within the business.

  • 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.
  • 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.
  • 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.

Applications of R Programming :

    Some of the necessary applications of R programing language within the domain of Data Science are:

    1. R programming in IT Sector :

    IT organizations use R for his or her business insight and supply such administrations to different little, medium, and big scope industries. They still use it for his or her AI product.They use R to construct measurable computation devices, data and coping with things and form different information management services.

    Some of the uses of R programming in IT companies :

  • Infosys
  • Accenture
  • Wipro
  • IBM
  • Paytm
  • Tata Consultancy Services
  • 2. Finance :

    Data Science is most generally employed in the money business. R is the most well-liked tool for this role. This can be as a result of R providing a complicated applied math suite that's ready to do all the required money tasks. With the assistance of R, money establishments are ready to perform drawback risk mensuration, change risk performance and utilize visualizations like holder charts, density plots, drawdown plots, etc.

    R conjointly provides tools for moving averages, autoregression, and time-series analysis that forms the crux of monetary applications. R is being widely used for credit risk analysis at corporations like ANZ and portfolio management. Finance industries leverage the time-series applied math processes of R, to model the movement of their securities market and predict the costs of shares. R conjointly provides facilities for money data processing through its packages like quantmod, pdfetch, TFX, pwt, etc. R makes it straightforward for you to extract information from online assets. With the assistance of RShiny, you'll be able to conjointly demonstrate your money product through vivid and fascinating visualizations.

    3. Banking :

    Just like money establishments, banking industries build use of R for credit risk modeling and different varieties of risk analytics. Banks build serious usage of the Mortgage Haircut Model that enables them to require over the property just in case of loan defaults. Mortgage Haircut Modelling involves sales worth distribution, the volatility of the sales worth, and therefore the calculation of expected deficiency. For these functions, R is commonly used aboard proprietary tools like SAS.

    R is additionally employed in conjunction with Hadoop to facilitate the analysis of client quality, client segmentation, and retention. Bank of America makes use of R for money reportage. With the assistance of R, the information scientists at BOA are ready to analyze money losses and build use of R’s image tools.

    4. Healthcare :

    Genetics, Bioinformatics, Drug Discovery, medicine are a number of the fields intending to build serious usage of R. With the assistance of R, these corporations are ready to crunch information and method data, providing important background for additional analysis and processing.

    For a lot of advanced processes like drug discovery, R is most generally used for playing pre-clinical trials and analyzing the drug-safety information. It conjointly provides a set for playing wildcat information analysis and vivid image tools to its users. R is additionally fashionable for its Bioconductor package that gives numerous functionalities for analyzing genomic information. R is additionally used for applied math modeling within the field of medicine, wherever information scientists analyze and predict the unfold of diseases.

    5. Social Media :

    For many beginners in information Science and R, social media may be a data playground. Sentiment Analysis and alternative styles of social media data processing area unit a number of the vital applied math tools that area unit used with R. Social Media is additionally a difficult field for information Science as a result of the information rife on social media websites is usually unstructured in nature.

    R is employed for social media analytics, for segmenting potential customers and targeting them for merchandising your product. Furthermore, mining user sentiment is another standard class in social media analytics. With the assistance of R, corporations are ready to model applied math tools that analyze user sentiments, permitting them to boost their experiences. SocialMediaMineR may be a standard R package that will take multiple URLs and churn the recognition of their reach on social media. Moreover, corporations use R to research the social media market and generate leads for the user.

    6. E-Commerce :

    The e-commerce trade is one of every of the foremost vital sectors that utilize information Science. R is one of the quality tools that are being employed in e-commerce. Since these internet-based corporations have to be compelled to contend with numerous styles of information, structured and unstructured, similarly as from varied information sources like spreadsheets and databases (SQL & NoSQL), R proves to be an efficient alternative for these industries.

    E-commerce corporations use R for analyzing cross-selling products to their customers. In cross-selling, we advise the further product to the client, that enhances their original purchase. These styles of suggestions and suggestions are best analyzed with the assistance of R. Various applied math procedures like linear modeling are necessary to research the purchases created by the shoppers similarly as in predicting product sales. Moreover, corporations use R for closing A/B testing analysis across the pages of their product.

    7. Manufacturing :

    Manufacturing corporations like Ford, Modelez, and Deere use R to research client sentiment. This helps them optimize their product consistent with trending client interests and additionally to match their production volume to varied market demand. They additionally use R to attenuate their product prices and maximize profits.

Real-Life Use Cases of R Language :

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

  • 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.
  • 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.
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Key Features

ACTE India 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.


Syllabus of R Programming Course in India
Module 1: Introduction to Data Analytics
    • 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.
    • 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
    • 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.
    • 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
    • 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.
    • 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
    • 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.
    • Reading Data
    • Writing Data
    • Basic SQL queries in R
    • Web Scraping
    Module 5: Exploratory Data Analysis
    • 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.
    • Box plot
    • Histogram
    • Pareto charts
    • Pie graph
    • Line chart
    • Scatterplot
    • Developing graphs
    Module 6: Overview of Machine Learning techniques
    • This module touches the base Statistics, Machine learning techniques used in the Industry and will cover case studies.
    • 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
Credit Dataset Analysis

In this data science project, you will work with German credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications using R.

Project 2
Wine Quality Prediction in R

In this R data science project, we will explore wine dataset to assess red wine quality. The objective of this data science project is to explore which chemical properties.

Project 3
Instacart Market Basket Analysis

This Main Objectives of this project is to build a recommendation engine which will predict the products to be purchased by an Instacart consumer again.

Project 4
TalkingData AdTracking Fraud Detection

Machine Learning Project in R-Detect fraudulent click traffic for mobile app ads using R data science programming language.

Our Top Hiring Partner for Placements

All students and professionals who have completed our classroom or online training have the opportunity to be placed with ACTE India. The firms listed below employ some of our students.

  • Among our collaborators are Change Leaders, Podium Systems Private Limited, RTBAnalytica, Read-Ink Technologies Private Limited, Dun & Bradstreet IBM, and others. It allows us to place our students in top multinational companies all around the world.
  • We have separate student placement webpages where you can see all of the interview schedules and receive email notifications.
  • We will organise interview calls and prepare students for face-to-face interaction once they have completed 70% of the R Programming training course curriculum.
  • R Programmatic instructors support students in designing curriculums that meet contemporary standards in the business.
  • We have a dedicated placement assistance staff that helps pupils get their placement according to their needs.

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

Get Certified

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 India have a highly qualified  professionals with 9+ years of expertise and now work with Top MNCs.
  •  All trainers work in a range of real projects in the programming field, these projects are used by trainers during their training.
  • All our training staff works with businesses like Green Agrevolution Pvt. Ltd., NITS Solutions HCL Technologies, Ai Logic Neural Network Pvt Ltd., E with systems India Pvt Ltd.
  • Trainers are also helping applicants to acquire employee referral / internal hiring processes within their individual companies.
  • Our educators are industry professionals and subject matter specialists, who grasp the Best R Programming Training instruction for students in operating apps.
  • We earned several renowned awards from renowned IT company for R Programming Training in India.

R Programming Course Reviews

Our ACTE India 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.


Hi All, am Deepak... i joined ACTE at India for learning R Programming course 30th batch. The sessions were professional and throughout the training we could grasp the maximum real time knowledge from the trainer which he have. ACTE institute is best for R Programming training in India.


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


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.


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


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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