R Programming Training in Kalyan Nagar | Best R Course [UPDATED] | Updated 2025
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R Programming Training in Kalyan Nagar

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Rated #1 Recognized as the No.1 Institute for R Programming Training in Kalyan Nagar

To develop your skills in statistical computing and data analytics, sign up for R Programming Training in Kalyan Nagar, taught by professionals in the field. Get real-world experience and open doors to data science.

Pupils who successfully finish the R Programming Course in Kalyan Nagar will have a firm grasp of the fundamental R tools and R technologies, such as statistical analysis, data visualization, data manipulation, and programming ideas. Additionally, you will gain practical experience in creating statistical models.

  • Get expertise in data analysis, visualization, and R development.
  • Make contact with 15,648+ skilled individuals and 400+ recruiting clients.
  • Boost your career by enrolling in the R programming course in Kalyan Nagar!
  • Develop your R programming abilities to improve your chances of landing a job right now!
  • Get unlimited access to interviews with leading multinational corporations in Kalyan Nagar.
  • Enjoy offers, reasonably priced R programming instruction along with placement assistance.

Fee INR 18000

INR 13000

Training

  • Case Studies and Projects 8+

  • Hours of Training 45+

  • Placement Assurance 100%

  • Expert Support 24/7

  • Support & Access Lifetime

  • Certification Yes

  • Skill Level All

  • Language All

Learn From Experts, Practice On Projects & Get Placed in IT Company

  • We train students for interviews and Offer Placements in corporate companies.
  • Ideal for graduates with 0 – 3 years of experience & degrees in B. Tech, B.E and B.Sc. IT Or Any Computer Relevent.
  • You will not only gain knowledge of R Programming and Advance tools, but also gain exposure to Industry best practices, Aptitude & SoftSkills.
  • Experienced Trainers and Lab Facility.
  • Certified R Programmer Guidance Support with Exam Dumps.
  • For Corporate, we act as one stop recruiting partner.We provide right skilled candidates who are productive right from day one.
  • Resume & Interviews Preparation Support.
  • 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

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Other Categories Placements
  • Non-IT to IT (Career Transition) 2371+
  • Diploma Candidates3001+
  • Non-Engineering Students (Arts & Science)3419+
  • Engineering Students3571+
  • CTC Greater than 5 LPA4542+
  • Academic Percentage Less than 60%5583+
  • Career Break / Gap Students2588+
10-Feb-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

12-Feb-2025
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

08-Feb-2025
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

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

09-Feb-2025
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

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

    Hear it from our Graduate

    About R Programming Training Course in Kalyan Nagar

    R has a large number of in-built functions and the user can create their own functions. In R, a function is an object so the R interpreter is able to pass control to the function, along with arguments that may be necessary for the function to accomplish the actions.. Start learning with us ACTE R Programming Classroom & Online Training Course.

    Most Job Oriented R Programming Topics Covered
    • Fundamentals of R

      Data Types, Variable

      Operators, Loop control

    • Array, String

      Function, Vector

      Lists, Matrices Factors

    • Data Frames, Packages

      Data Reshaping, File Management

      Charts & Graphs

    R Programming is very useful for career.Careers in R programming are associated with the data science and business analytics profession. ... R programmers are a good fit for the research-oriented industry for statistical model implementation for data analysis. professionals want to upgrade their career in data science R programming is a preferred choice.

    R Programming, have great scope, Scope is high Basically, R is now considered as the most popular analytic tool.R Careers offers bright jobs for any data scientist he may be any fresher or experienced. Organizations expect many of the new hires with knowledge of R and they want them to be familiar with the R tool.

    Even as a fresher, you can get a job in R Programming domain. R is the name of a popular programming language that has become the tool of choice for data scientists and statisticians around the world. Companies are using analytics to predict things like pricing of their products, how much to spend on ads, whether a drug will turn out to be successful or not etc. and R is helping them analyse historical data to make these predictions.

    The business analytics field has been dominated by paid tools such as SAS, Statistica and SPSS (IBM). Even though some of these tools can be very expensive (with software licenses running into millions of dollars), the value coming out of their application is far more and hence companies did not mind spending so much.

    We are happy and proud to say that we have strong relationship with over 700+ small, mid-sized and MNCs. Many of these companies have openings for R Programming. Moreover, we have a very active placement cell that provides 100% placement assistance to our students. The cell also contributes by training students in mock interviews and discussions even after the course completion.

    Coin package in R provides various options for re-randomization and permutations based on statistical tests. When test assumptions cannot be met then this package serves as the best alternative to classical methods as it does not assume random sampling from well-defined populations.

    • Knowledge of statistics theory in mathematics.
    • You should have solid understanding of statistics in mathematics.
    • Understanding of various type of graphs for data representation.
    • Prior knowledge of any programming.

    Learn R. Can someone with no programming knowledge learn “R”? The answer is yes! ... Despite not having any previous programming experience , I analyzed my first data set of more than 20,000 data points in only a couple of months.

    Our course ware 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.

    Yes Definitely! From my point of view learning, R language has a worth to learn. R is the best programming language to perform analytical operation. The number of applications such as healthcare, finance, media use R programming to analyze their data.

    Advanced R Programming takes around 1 month to master to a level so that you can start writing analytics functions.

    If you have experience in any programming language, it takes 7 days to learn R programming spending at least 3 hours a day. If you are a beginner, it takes 3 weeks to learn R programming. In the second week, learn concepts like how to create, append, subset datasets, lists, join.

    Top reasons to consider a career in R Programming?

    • Backed by a Huge, Active Community.
    • Comprehensive Library Support.
    • Cross-Platform Compatibility.
    • Data Visualization at its Best.
    • Develop Interactive, Powerful Web Apps With Shiny.
    • Go-to Option for Statistical Analysis and Data Science.
    • High Market Demand With High-Paying Roles.
    • Major Companies Trust R.

    Future Scope Of R Programming

    • The purpose of the future package is to provide a very simple and uniform way of evaluating R expressions asynchronously using various resources available to the user.
    • In programming, a future is an abstraction for a value that may be available at some point in the future. The state of a future can either be unresolved or resolved. As soon as it is resolved, the value is available instantaneously.
    • If the value is queried while the future is still unresolved, the current process is blocked until the future is resolved. It is possible to check whether a future is resolved or not without blocking.
    • Exactly how and when futures are resolved depends on what strategy is used to evaluate them. For instance, a future can be resolved using a sequential strategy, which means it is resolved in the current R session.
    • Other strategies may be to resolve futures asynchronously, for instance, by evaluating expressions in parallel on the current machine or concurrently on a compute cluster.
    • With asynchronous futures, the current/main R process does not block, which means it is available for further processing while the futures are being resolved in separate processes running in the background.
    • In other words, futures provide a simple but yet powerful construct for parallel and / or distributed processing in R.
    • Now, if you cannot be bothered to read all the nitty-gritty details about futures, but just want to try them out, then skip to the end to play with the Mandelbrot demo using both parallel and non-parallel evaluation.
    • he future package is designed such that support for additional strategies can be implemented as well.
    • For instance, the future callr package provides future backends that evaluates futures in a background R process utilizing the callr package - they work similarly to multisession futures but has a few advantages.
    • Continuing, the future batchtools package provides futures for all types of cluster functions ("backends") that the batchtools package supports.
    • Specifically, futures for evaluating R expressions via job schedulers such as Slurm, TORQUE/PBS, Oracle/Sun Grid Engine (SGE) and Load Sharing Facility (LSF) are also available. (Comment: The future batchjobs package provides analogue backends based on the batchjobs package; however the BatchJobs developers have deprecated it in favor of batchtools.)
    • By default, future expressions are evaluated eagerly (= instantaneously) and synchronously (in the current R session).
    • This evaluation strategy is referred to as "sequential". In this section, we will go through each of these strategies and discuss what they have in common and how they differ.

    Consistent Behavior Across Futures

    Before going through each of the different future strategies, it is probably helpful to clarify the objectives of the Future API (as defined by the future package). When programming with futures, it should not really matter what future strategy is used for executing code. This is because we cannot really know what computational resources the user has access to so the choice of evaluation strategy should be in the hands of the user and not the developer. In other words, the code should not make any assumptions on the type of futures used, e.g. synchronous or asynchronous.

    One of the designs of the Future API was to encapsulate any differences such that all types of futures will appear to work the same. This despite expressions may be evaluated locally in the current R session or across the world in remote R sessions. Another obvious advantage of having a consistent API and behavior among different types of futures is that it helps while prototyping. Typically one would use sequential evaluation while building up a script and, later, when the script is fully developed, one may turn on asynchronous processing.

    Because of this, the defaults of the different strategies are such that the results and side effects of evaluating a future expression are as similar as possible. More specifically, the following is true for all futures:

    • All evaluation is done in a local environment (i.e. local({ expr })) so that assignments do not affect the calling environment. This is natural when evaluating in an external R process, but is also enforced when evaluating in the current R session.

    • When a future is constructed, global variables are identified. For asynchronous evaluation, globals are exported to the R process/session that will be evaluating the future expression. For sequential futures with lazy evaluation (lazy = TRUE), globals are "frozen" (cloned to a local environment of the future). Also, in order to protect against exporting too large objects by mistake, there is a built-in assertion that the total size of all globals is less than a given threshold (controllable via an option, cf. help("future.options")). If the threshold is exceeded, an informative error is thrown.

    • Future expressions are only evaluated once. As soon as the value (or an error) has been collected it will be available for all succeeding requests.

    Synchronous futures are resolved one after another and most commonly by the R process that creates them. When a synchronous future is being resolved it blocks the main process until resolved. There are two types of synchronous futures in the future package, sequential and transparent.

    Sequential Futures

    • Sequential futures are the default unless otherwise specified.
    • They were designed to behave as similar as possible to regular R evaluation while still fulfilling the Future API and its behaviors.

    Transparent Futures

    • For troubleshooting, transparent futures can be used by specifying plan(transparent).
    • A transparent future is technically a sequential future with instant signaling of conditions (including errors and warnings) and where evaluation, and therefore also assignments, take place in the calling environment.
    • Transparent futures are particularly useful for troubleshooting errors that are otherwise hard to narrow down.

    Asynchronous Futures

    • Next, we will turn to asynchronous futures, which are futures that are resolved in the background.
    • By design, these futures are non-blocking, that is, after being created the calling process is available for other tasks including creating additional futures.
    • It is only when the calling process tries to access the value of a future that is not yet resolved, or trying to create another asynchronous future when all available R processes are busy serving other futures, that it blocks.
    Show More

    Key Features

    ACTE Kalyan Nagar 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 .

    Curriculum

    Syllabus of R Programming Course in Kalyan Nagar
    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
    Show More
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    Hands-on Real Time R Programming Projects

    Our Top Hiring Partner for Placements

    ACTE Kalyan Nagar offers placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.

    • We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
    • We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
    • After completion of 70% R Programming training course content, we will arrange the interview calls to students & prepare them to F2F interaction
    • R Programming Trainers assist students in developing their resume matching the current industry needs
    • We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
    • We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge

    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.

    Get Certified

    About Experienced R Programming Trainer

    • Our R Programming Training in Kalyan Nagar. Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
    • As all Trainers are R Programming domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
    • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
    • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
    • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best R Programming training to the students.
    • We have received various prestigious awards for R Programming Training in Kalyan Nagar from recognized IT organizations.

    R Programming Course FAQs

    Looking for better Discount Price?

    Call now: +91-7669 100 251 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
    • 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 project experience, job support, and lifetime resources.
    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 76691 00251 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
    Show More
    Request for Class Room & Online Training Quotation

          Job Opportunities in R Programming

          More Than 35% Of Developers Prefer R Programming. R Programming Is The Most Popular And In-Demand Programming Language In The Tech World.

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