R Programming Training Course

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.

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.

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.

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