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R Programming Training For Beginners

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Softlogic is one of the Top Training institutes for R Programming. Learn how to use R Programming, from beginner basics to advanced techniques. Our R Programming Syllabus Covers the R syntax, data structures, data manipulation, exploratory data analysis, statistical methods, data visualization with ggplot2, and machine learning basics. We offer an R Programming Course with Placement Assistance, Mock interviews, Resume building, and certification.

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Course Syllabus

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Fees, Duration & Batch Timings for R Programming Course

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
July 2026
Week days
(Mon-Fri)
Online/Offline

2 Hours Real Time Interactive Technical Training 

1 Hour Aptitude 

1 Hour Communication & Soft Skills

(Suitable for Fresh Jobseekers / Non IT to IT transition)

Course Fee
July 2026
Week ends
(Sat-Sun)
Online/Offline

4 Hours Real Time Interactive Technical Training

(Suitable for working IT Professionals)

Course Fee

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Syllabus of R Programming Course

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Module: 1 R Introduction
  • Overview of R Programming
  • Downloading and installing
  • Help of Function
  • Viewing documentation
  • General issues in R
  • Package Management
Module: 2 Data Inputting in R
  • Data Types
  • Subsetting
  • Writing data
  • Reading from csv files
  • Creating a vector and vector operation
  • Initializing data frame
  • Control structure
  • Re-directing R Output
Module: 3 Data Visualization
  • Creating bar chart and dot plot
  • Creating histogram and box plot
  • Plotting with base graphics
  • Plotting and coloring in R
Module: 4 Basic Statistic
  • Computing Basic Statistics
  • Comparing means of two samples
  • Testing a proportion
  • Data Munging Basics
Module: 5 Functions and Programming in R
  • Flow control: For loop
  • If condition
  • Debugging tools
Module: 6 Data manipulation in R
  • List Management
  • Data Transformation
  • Merging Data Frames
  • Outlier Detection
  • Combining multiple vectors
Module: 7 R an Database
  • Performing queries
  • RODBC and DBI Package
  • Advanced Data handling
  • Combined and restructuring data frames
Statistical Modelling in R
  • Logical Regression
  • Hierarchical Clustering PCA for Dimensionality Reduction

Objectives of R Programming Training

The objectives of learning R programming training include

  • Proficiency with the syntax of the R programming language
  • Utilize R programming for data processing and purification, statistical analysis, and hypothesis testing.
  • Familiarity with a variety of R data visualization tools 
  • Familiarity with developing R machine learning and prediction models

Why Softlogic Systems is the Best Choice for R Programming Training – Learn, Practice, and Get Placed!

Crowdfunding Platform
Online & Offline Training Options
Learn at your convenience with flexible classroom and live online training.
Learn from 100+ Real-Time Developers
Get trained by industry professionals with years of hands-on experience.
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Hands-on Projects & Codeathons
Practice with real-time projects and coding challenges to build confidence.
0% EMI Fee Options
Pay your course fees flexibly with easy EMI plans at zero interest.
Resume & Interview Support
Get expert help with resume building, mock interviews, and soft skills.
Placement with Top IT Firms
Access placement opportunities with leading MNCs and IT companies.
1000+ Hiring Partners
Benefit from Softlogic’s strong recruiter network for faster job placement.
No Backdoor Jobs
We ensure only genuine placement opportunities with trusted companies.
Want to Speak to a Trainer about R Programming?Request a Free Callback

Highlights of R Programming Course

R programming is a well-liked technology for machine learning, data visualization, and statistical research. For statistical modeling and data manipulation, it offers an extensive toolkit. 

Learning R programming is beneficial for several reasons:

  • Open-source: R is open source and free to use; no license is needed.
  • Platform-independent: R is flexible and does not rely on any particular operating system.
  • Huge community: The statistical community in R is very helpful.
  • Packages: You may download more than 10,000 packages for R from the CRAN repositories, and new packages are uploaded on a regular basis.
  • Data visualization: It is a crucial component of data science, and R is a useful tool for this process.
  • Statistics: R is still the programming language of choice for many statisticians, having been created by statisticians for statistical analysis.
  • Machine learning: With its features and packages for tasks like regression and classification, R is also helpful in this area. 

The following is advised before learning R programming, even though there are no particular prerequisites: 

  • Basic programming concepts
  • Familiarity with data analysis and statistical principles
  • Mathematical and probability theory knowledge 
  • Basic experience with spreadsheets and data sets

Our R Programming course is suitable for:

  • Students
  • Professionals seeking a career change
  • IT professionals aiming to enhance their skills
  • Enthusiastic programmers
  • Job Seekers

Our R programming training cost is ranging from 25,000 INR, with potential variations based on the course level (basic, intermediate, or advanced) and format (online or in person). Generally, the R Programming course duration is approximately 2 months and includes certification upon completion. For accurate details concerning fees, duration, and certification, we suggest reaching out to our R programming training institute directly.

Proficiency in R programming can lead to a multitude of job options across multiple industries. Jobs involving R programming include: 

  • Data Analyst
  • Statistical Analyst
  • Data Scientist
  • Machine Learning Engineer
  • Bioinformatics Analyst

The average annual salary for a fresh R programming developer with less than three years of experience is ₹3.8 lakhs. An average R programming developer with 4-6 years of experience earns ₹12.8 lakhs a year, whereas an experienced R programming developer with 10–20 years earns ₹30 lakhs.

Typical real-time uses for R programming include the following:

  • Data streaming and processing
  • Dashboard and Visualization
  • Web scraping and API calls
  • Financial Analysis and Trading
  • Machine Learning Inference

Boost Your Skills with Our R Programming Training Experts

Our Mentors are from Top Companies like:
  • Our R programming trainers have over 10 years of expertise in the development and training industry.
  • They understand the basic concepts of R programming, such as charting, statistics, data exploration and manipulation, data cleaning, and data wrangling.
  • They have experience with both exploratory and predictive analytics and are well-versed in a variety of tools and packages.
  • They have expertise creating intricate data visualizations that highlight patterns and insights.
  • They see to it that all information is presented in an interesting and participatory way.
  • To make sure the students comprehend the material, they employ a variety of coaching and mentoring strategies.
  • They know how to use the command line interface and the RStudio IDE.
  • They collaborate closely with teachers and students to provide a productive learning environment, and they make use of top-notch tools to pique participants’ interest and promote independent study.
Want to Speak to a Trainer about R Programming?Request a Free Callback

What Modes of Training are available for R Programming Course?

Offline / Classroom Training

A Personalized Learning Experience with Direct Trainer Engagement!
  • Direct Interaction with the Trainer
  • Clarify doubts then and there
  • Airconditioned Premium Classrooms and Lab with all amenities
  • Codeathon Practices
  • Direct Aptitude Training
  • Live Interview Skills Training
  • Direct Panel Mock Interviews
  • Campus Drives
  • 100% Placement Support
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Online Training

Interactive Quiz Website
Instructor Led Live Training! Learn at the comfort of your home
  • No Recorded Sessions
  • Live Virtual Interaction with the Trainer
  • Clarify doubts then and there virtually
  • Live Virtual Interview Skills Training
  • Live Virtual Aptitude Training
  • Online Panel Mock Interviews
  • 100% Placement Support
Explore Online Courses

Corporate Training

Blended Delivery model (both Online and Offline as per Clients’ requirement)
  • Industry endorsed Skilled Faculties
  • Flexible Pricing Options
  • Customized Syllabus
  • 12X6 Assistance and Support
Explore Offline Courses
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Certifications

Take your career to new heights with Softlogic's software training certifications.
Improve your abilities to get access to rewarding possibilities
Earn Your Certificate of Completion
Validate your achievements with Softlogic's Certificate of Completion, verifying successful fulfillment of all essential components.
Take Your Career to the Next Level with  Certifications
Get a certifications through our training programs to gain a competitive edge in the industry.
Stand Out from the Crowd with Codethon Certificate
Verify the authenticity of your real-time projects with Softlogic's Codethon certificate.

Hands-on Project Practices in R Programming Course

Forecasting Time Series
Finding Insurance Fraud
Client Division
Credit Scoring
Time Series Analysis of Anomalies
Disease Outbreaks Finding
Analysis of Energy Consumption
Modeling the Marketing Mix
Athletic Analytics

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Interview Skills
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Aptitude Training
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CRM System Testing

Interview Skills
from Day 1

Softskills Training
from Day 1

Build Your Resume

Build your LinkedIn Profile

Build your GitHub
digital portfolio

Panel Mock Interview

Unlimited Interviews until you get placed

Life Long Placement Support at no cost

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FAQs

The programming language R is used for data visualization and statistical computing. Bioinformatics, data mining, and data analysis are among the fields that have adopted it. 

The most popular uses of the R language are in statistical computing and data analysis. It works well as a tool for machine learning algorithms as well. Because of its skills for data cleansing, importing, and visualization, R is very useful for experts in data science.

R has a vast command set and a syntax that differs greatly from other programming languages like Python, making it one of the more challenging languages to learn.

Though at a different rate than those with Python expertise, R programmers are also in demand. Candidates may submit applications for jobs as data administrators, data scientists, data architects, and data analysts.

It will take a beginner 45 to 60 hours to pick up the basics of R programming. To grasp most R programming code, one must invest that much time in learning. 

R is rarely used outside of the data science field. It is one of the two most widely used languages in data science, along with Python. Different kinds of data scientists are more likely to be drawn to R than Python.

SLA trainers promise that not a single R programming training class will be missed. We will assign substitute R programming classes to those who missed the classes and gave advance notice. 

Kindly contact our R Programming course advisor via WhatsApp or at +91 86818 84318. As an alternative, you can contact us by chat on our website, email enquiry@softlogicsys.in, or through our contact form. 

The SLA placement team provides all-encompassing support to enhance your career prospects. SLA includes the following premium services in our placement assistance along with R programming training:

  • Creating a CV
  • Career guidance and counseling
  • Practice speaking with others.
  • Job fairs 

We take cash, credit cards (Visa, Maestro, Mastercard), Netbanking, and other major payment options for R training at SLA.

Additional Information for
the R Programming Course

It is anticipated that R programming will have a bright future filled with plenty of work prospects. It is extensively utilized in machine learning, statistical analysis, and data science.

  • Data science: Because of R’s ability to clean, import, and visualize data, it is a useful tool for professionals in the field.
  • Clinical trials: R programming is anticipated to continue developing in this field, with potential advancements in accuracy and efficiency.
  • Software development: Employment growth for software engineers is predicted to reach 22% in the near future. 
  • Comprehensive Statistical Analysis
  • Advanced Data Visualization
  • Extensive Packages and Libraries
  • Open Source and Free
  • Platform Independence
  • Integration with Other Languages
  • Powerful Data Handling and Storage
  • Robust Community and Support

Gaining an R programming certification might help you stand out in a crowded employment market and increase your appeal to companies. It might also result in better pay and chances for advancement in one’s work.

  • Skills demonstration: An R certification attests to your possession of the know-how required for the position.
  • Credibility: Adding a degree to your LinkedIn profile, CV, or resume can help you establish the credibility you need to take on bigger projects, greater responsibility, and higher pay.
  • Marketability: Your marketability will increase with your R programming certificate in almost any industry.  

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