R Programming Course from Yuva Sakthi Academy helps to enhance the skills of R Programming with the help of real-time industry scenarios and hands-on approaches. The R Programming training and course assist the delegates to acquire the proficiency and skills of basic and advanced level concepts in R Programming, which is one of the best tools for data science, visualization, and computational statistics.

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R Programming Training

The R Programming Course from Yuva Sakthi Academy will make a delegate master about data manipulation with R Programming, advanced analytics concepts like data mining and regression using RStudio, data visualization, and more.  The R Programming training enables the learners to take R Programming into different companies, allowing them to analyze information and make effective business decisions.

The delegate of Yuva Sakthi Academy is provided with an R Programming course completion certificate after the end of R Programming course completion. Our certificate is accredited and recognized in reputed companies across the globe. The R Programming from us adds weight to the learner’s resume and helps to get good jobs in their future too. According to the survey of Indeed.com, the national average salary of R Programmer ranges from $71,059 to $123,534 based on different factors like aspirant’s experience level, the company they are working in, and more.

We have a separate HR team that takes care of the delegate placements. The group helps the delegates in training about personality development, how to interact during an interview, how to present in front of the interviewer, and more. We offer training on aptitude, Mock interviews, HR interviews, and more to get them placed in top MNC and IT companies easily.

About R Programming Training Course

The R Programming and training course important concepts in R Programming like data visualization, descriptive analytics techniques, data exploration, and predictive analytics with the R languages. The R Programming course training also helps in exploring about the R packages, data structures in R, cluster analysis, graphic representation, reporting, data manipulation, business analytics, flow of control, machine learning algorithms, variables, functions, data structures, import and export data in R, forecasting, and diverse statistical concepts through practical R industry scenarios and examples. The course materials of the Yuva Sakthi Academy R Programming training course are designed based on the latest industry scenarios and hold every essential concept on R Programming to clear the Yuva Sakthi Academy R Programming exam.

The delegates who take R Programming training courses from Yuva Sakthi Academy will work on real-time assignments and projects that have impacts in the real-life scenarios, thus enabling you to get an excellent job in your career efficiently.  We have a professional HR team who takes care of the placement opportunities, and other placement related activities like resume preparation, conducting mock interviews, job interviews, and more. We provide 100% assurance to make the delegates get placed in leading companies like Cognizant, saint-Gobain, TCS, Hexaware, Genpact, Standard Chartered, Cisco, Ericsson, and more.

Upcoming Training Batches

Yuva Sakthi Academy provides flexible timings to all our students. Here is the R- Programming Training Course Schedule in our branches. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timings.

Time Days Batch Type Duration (Per Session)
8:00AM - 12:00PM Mon - Sat Weekdays Batch 4Hr - 5:30Hrs
12:00PM - 5:00PM Mon - Sat Weekdays Batch 4Hr - 5:30Hrs
5:00PM - 9:00PM Mon - Sat Weekdays Batch 4Hr - 5:30Hrs

Syllabus of R Programming Training

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 giants like Google, Facebook, etc.
  • Also, you will learn the 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 the 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 with the basics of R programming like data types 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

Trainer Profile of R Programming Training Course

Our Trainers provide complete freedom to the students, to explore the subject and learn based on real-time examples. Our trainers help the candidates in completing their projects and even prepare them for interview questions and answers. Candidates are free to ask any questions at any time.

  • Trained more than 2000+ students in a year.
  • Strong Theoretical & Practical Knowledge.
  • Certified Professionals with High Grade.
  • Expert level Subject Knowledge and fully up-to-date on real-world industry applications.
  • Trainers have Experienced on multiple real-time projects in their Industries.
  • Our Trainers are working in multinational companies such as CTS, TCS, HCL Technologies, ZOHO, Birlasoft, IBM, Microsoft, HP, Scope, Philips Technologies etc

R Programming Training Exams

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

Key Features of Our Training Institute

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One on One Teaching

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Flexible Timing

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Fully Practical Oriented Classes

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Class Room Training

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Online Training

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Corporate Training

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100 % Placement

Projects in R Programming Training Course

Sales Pipeline Dashboard

Build a dashboard to get a clearer view of your sales pipeline and know where your leads are coming from, so that you can double down on your efforts there to meet your targets.

Sales Growth Dashboard

Build a dashboard to measure your sales team’s performance and how much revenue can be raised within a specific time frame.

Healthcare Data Dashboard

The R Programming Training Healthcare Data dashboard for hospital managers to manage and identify patients’ risk from one screen.

Training Courses Reviews

I highly recommend the computer training institute for anyone who wants to improve their computer skills. The instructors are knowledgeable and patient, and they create a comfortable and supportive learning environment. The curriculum is well-structured and covers a range of topics, from basic computer operations to advanced programming languages.

T

TOM DINESH

*Right place to learn new technologies *Self motivated staffs ... *This institution is a good start for emerging youngster who has a passion in their life I have trained for core Java. It was very useful to learn java from basic level. *The trainers are knowledgeable and real time worked employees. I like this institutions be hope with us. You are really reached your goals....

H

Harish Arjunan

One of the best academy to easy learn tally prime from kalpana mam one to one teaching is very excellent ..,coaching is very good and motivational person are here ...great service and excellent teach and friendly staff, good environment and comfortable to learn easily Thank you for wonderfull guide mam. ....

P

Priya Mohan

Frequently Asked Questions

What is R programming and why is it popular?

R programming is a powerful language and environment for statistical computing and graphics. It is widely used among statisticians and data scientists for data analysis, visualization, and predictive modeling. R is popular due to its extensive libraries, active community, and its ability to handle and manipulate large datasets efficiently.

What are the prerequisites for learning R programming?

There are no strict prerequisites for learning R programming. However, having a basic understanding of statistics, mathematics, and familiarity with programming concepts can be helpful. Additionally, knowledge of data analysis techniques and tools such as Excel or SQL can make the learning process smoother.

How is R used in data science and analytics?

R is extensively used in data science and analytics for various purposes such as data manipulation, statistical modeling, and data visualization. It supports a wide range of statistical techniques including linear and nonlinear modeling, time-series analysis, classification, clustering, and more. R's robust visualization libraries like ggplot2 make it easy to create detailed and aesthetically pleasing data visualizations.

What are some popular packages in R for data analysis?

Some popular R packages for data analysis include:

  • dplyr: For data manipulation and transformation.
  • ggplot2: For data visualization and creating complex plots.
  • tidyr: For tidying data, making it easier to work with.
  • shiny: For building interactive web applications.
  • caret: For machine learning and predictive modeling.
Can R handle large datasets efficiently?

Yes, R can handle large datasets efficiently with the help of packages designed for big data processing. Packages like data.table and dplyr are optimized for performance and can handle large datasets. Additionally, R can interface with big data technologies such as Hadoop and Spark, enabling the analysis of very large datasets.

What are the career opportunities for R programmers?

R programmers have a wide range of career opportunities in fields such as data science, analytics, biostatistics, finance, marketing, and academia. Common job roles include Data Scientist, Data Analyst, Statistician, Biostatistician, and Research Analyst. Proficiency in R can also lead to opportunities in consulting and freelance work, where demand for data analysis and statistical expertise is high.

How does R compare to Python for data analysis?

R and Python are both popular for data analysis, each with its strengths. R is known for its strong statistical capabilities and comprehensive libraries for data manipulation and visualization. Python is favored for its general-purpose programming capabilities, ease of integration with other systems, and extensive libraries for machine learning and deep learning. The choice between R and Python often depends on the specific requirements of a project and the existing skill set of the team.

What is the difference between R and RStudio?

R is a programming language and environment for statistical computing and graphics. RStudio, on the other hand, is an integrated development environment (IDE) for R. RStudio provides a user-friendly interface, with features such as syntax highlighting, code completion, and visualization tools, making it easier to write and debug R code. While R can be used on its own, RStudio enhances the programming experience and productivity for R users.

How can I start learning R programming?

To start learning R programming, you can follow these steps:

  • Install R and RStudio: Download and install R from the CRAN website and RStudio from the RStudio website.
  • Explore online resources: Utilize free resources such as tutorials, blogs, and videos available on platforms like Coursera, edX, and YouTube.
  • Read books and documentation: Refer to books such as "R for Data Science" by Hadley Wickham and Garrett Grolemund, and the official R documentation.
  • Practice with real data: Work on real datasets available on websites like Kaggle, UCI Machine Learning Repository, and government data portals.
  • Join R communities: Participate in online forums, R user groups, and attend R meetups and conferences to connect with other learners and experts.
How can R programming benefit professionals in non-technical fields?

R programming offers several benefits for professionals in non-technical fields such as marketing, finance, and healthcare. It enables professionals to analyze large datasets, generate insightful reports, and make data-driven decisions. For marketers, R can analyze customer demographics and campaign effectiveness. In finance, it helps in risk analysis and financial modeling. In healthcare, R can analyze patient data and predict health outcomes. Learning R programming enhances career opportunities by providing valuable analytical skills applicable across diverse industries.

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Saravanampatti, Coimbatore – 641 035
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