R Programming Training

Having these skills will help you to get the most out of R, but they are not strictly necessary to start using the language. R provides a user-friendly interface and many tutorials and resources to help you get started and improve your skills over time.

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R is a popular open-source programming language and software environment for statistical computing and graphics. To effectively use R for data analysis and statistical modeling, it is recommended to have a good understanding of the following concepts:

  • Basic statistics: knowledge of measures of central tendency, variability, probability, hypothesis testing, regression, etc.
  • Data management: understanding of data structures, data manipulation and cleaning techniques, data visualization, etc.
  • Programming skills: basic understanding of programming concepts such as variables, loops, conditional statements, functions, etc.
  • Knowledge of R language: understanding of the R syntax, data types, functions, packages, etc.

R is a programming language and free software environment for statistical computing and graphics. It was developed by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is now widely used by statisticians, data scientists, and data analysts for a variety of tasks such as data analysis, statistical modeling, data visualization, and more.

R provides a rich set of built-in functions and libraries for performing various tasks, such as statistical testing, linear and non-linear modeling, time-series analysis, and more. It also has a large and active community of developers who contribute to its development and provide additional packages and tools that can be easily installed and used within the R environment.

  • More than 55% of IT industries have been shifted to the cloud space and the numbers are expected to increase by over 25% in the future. And it has been predicted by Forbes that more than 80% of Enterprise Workloads will efficiently be handled through cloud technologies.
    • Unlike different disciplines, the salary of a R Programming certification professional is usually 30 percent higher.

      At the beginner level, you can earn up to $113K per annum.

      Even with less than one year of experience, you will make around Rs.4, 80,000 in a year.

  • R Programming certification certified are high in demand and gaining significant traction in the US and Canada. People with years of experience can earn maximum of Rs. 1,800,000 per annum.

  • No matter whether you are a fresher or an experienced professional, our R Programming certification course will help you gain the relevant skills you required. If you are looking to start a career in the field of cloud, we will help you gain all essential skills and let you clear the global certification examination, too.
    • Establish yourself as a certified R Programming certification professional and get hired by leading IT industries.

      Clear the interview and gain all essential technical and communication skills.

      Get a more than 30 percent hike in salary as a certified professional.

  • On the course completion, attempt the R Programming certification exam and clear it in the first attempt as we assure 100% clearance rate for our students.

R supports various data types, such as vectors, matrices, arrays, data frames, and more, and provides a flexible syntax that allows users to perform complex operations with a few simple commands. R also provides a powerful graphical system that allows users to create high-quality visualizations of their data, including bar charts, histograms, scatter plots, and more.

Overall, R is a versatile and powerful tool that is widely used in the field of data analysis and statistics, and provides a user-friendly environment for performing complex data operations and visualizations.

The job roles and responsibilities of an R programming professional may vary depending on the industry and organization they work in, but some common responsibilities include:

  • Developing and implementing statistical models using R programming: This involves using statistical techniques to analyze data, build predictive models, and provide insights into various business problems.
  • Data cleaning and preparation: This involves identifying and resolving errors and inconsistencies in data, and transforming data into a format that can be used for analysis.
  • Visualizing data: This involves creating graphs, charts, and other visual representations of data to help communicate findings and insights to others.
  • Collaborating with teams: R programming professionals often work with teams of data scientists, business analysts, and other professionals to collect, analyze, and interpret data.
  • Communicating results: This involves presenting findings to stakeholders, including senior management, in a clear and concise manner.
  • Staying up-to-date with new developments in R programming: As technology and techniques evolve, R programming professionals must continually improve their skills and knowledge to stay ahead in the field.
  • Developing and maintaining R code: This involves writing and testing code, debugging errors, and ensuring that code is maintainable and scalable.
  • Supporting data-driven decision making: This involves providing data-driven insights and recommendations to support business decision making.

Overall, the role of an R programming professional is to use data and statistical analysis to drive business results and support decision-making. They play a critical role in the field of data science and are responsible for turning raw data into actionable insights.

  • Top industry verticals:
    • Travel Industry, IT Sector, Healthcare and Medical Sector, Media & Entertainment, Banking & Finance, Transportation, Non-Profit Industries, eCommerce, Insurance Sector, etc.

  • Top hiring companies:
    • IBM, NETFLIX, FEDEX, Infosys, American Express, etc.

  • Benefits of getting trained with us:
    • Find yourself a more competent, confident, and knowledgeable resource.

      Crack any interview with leading industries without any difficulty.

      Start working in your dream company like a PRO.

      See a drastic change in your communication skills.

  • You will get a completion certification to validate your skills after the completion of R Programming certification training. Also, you are likely to get recognized among top corporate giants. When it comes to enhancing your overall career, we endeavor to give the maximum support.
    • Our training certificate is globally accepted

      Helps the learner to climb the professional ladder

      It showcases credibility

      Increases your earning potential

      Makes you stand tall above the rest

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Course Duration 40-45 Days 7 Weekends 8 Days
Hours 2 Hrs. Per Day 3 Hrs. Per Day 6+ Hrs. Per Day
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There are no specific eligibility criteria to enroll in our R Programming certification course. Anyone interested in starting a career in R Programming can register for this R Programming training program and become job-ready.

Yes, our dedicated crew of professional regularly updated the content of our course; ensuring students must get the latest knowledge.

The demand for R Programming certification has been on the rise in recent years, and it is expected to continue growing in the future. This can be attributed to the increasing importance of data visualization and analysis in the business world, and the recognition of R Programming as a leading tool in this field.

More and more organizations are recognizing the value of having data visualization experts on their team, and R Programming certification is becoming a sought-after skill in the job market. As a result, individuals with R Programming certification are in high demand and often command higher salaries compared to those without certification.

Additionally, R Programming continues to evolve and add new features, making it an evergreen tool in the data visualization field. As a result, the demand for R Programming certified professionals is expected to remain strong in the future.

Overall, the trend in the R Programming certification market is positive and is expected to continue growing in the future as the importance of data visualization and analysis continues to increase in the business world.

There are many benefits to taking an R programming course, including:

  • Increased demand for R programming skills: R is one of the most popular programming languages for data analysis and statistical computing, and the demand for R programming skills is increasing across industries.
  • Improved data analysis skills: R programming provides a powerful set of tools for collecting, cleaning, analyzing, and visualizing data, and taking an R programming course can help you develop these skills.
  • Career advancement opportunities: R programming skills are highly valued by employers in a variety of industries, and taking an R programming course can help you stand out in a competitive job market.
  • Better insights into data: R programming provides a wide range of statistical techniques for analyzing data, and taking an R programming course can help you gain a deeper understanding of these techniques and how to use them to draw insights from data.
  • Improved collaboration with data science teams: Many data science teams use R programming, and taking an R programming course can help you work more effectively with these teams and communicate more effectively with other data professionals.
  • Access to a large and supportive community: R programming has a large and active community of users and developers who can provide support and resources for learning and problem solving.
  • Opportunity to work on real-world projects: Many R programming courses include hands-on projects and case studies, allowing you to apply what you learn to real-world data analysis problems.

Overall, taking an R programming course can provide a valuable opportunity to develop new skills, advance your career, and gain a deeper understanding of data analysis and statistical computing.

There are a few basic prerequisites for learning R programming, including:

  • Familiarity with basic programming concepts: While R is a relatively easy language to learn, it is helpful to have some prior experience with programming concepts such as variables, data types, loops, and functions.
  • Understanding of basic statistics: R is a powerful tool for statistical computing, and having a basic understanding of statistics, such as mean, median, standard deviation, and hypothesis testing, will help you get the most out of R.
  • Familiarity with the command line: R is primarily a command line-based language, and having some experience using the command line will make it easier to use R effectively.
  • Familiarity with data structures: Understanding basic data structures, such as vectors, matrices, and data frames, is important for working with data in R.
  • Access to a computer: R is a software that must be installed on a computer, and having access to a computer with a recent version of R installed is necessary for learning and using R.

Overall, these prerequisites are not strict requirements, and many people with little to no programming experience have successfully learned R programming. However, having a basic understanding of these concepts will make the learning process easier and more productive.

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