Our Data Science With R Online Training programs are designed for students, freshers, and working professionals who want to upskill and stay relevant. We offer Data Science With R Online Courses that are practical, interactive, and aligned with the latest industry demands. Our Data Science With R Syllabus Covers the R programming fundamentals, data manipulation with dplyr, data visualization with ggplot2, statistical modeling, hypothe sis testing, and implementing machine learning algorithms in R. Enroll now and learn from industry experts with flexible timings and get Job support.
Data Science With R Online Training
DURATION
2 Months
EMI
0% Interest
Mode
Live Online / Offline
Let's take the first step to becoming an expert in Data Science with R
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Fees, Duration & Batch Timings for Data Science with R 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)
July 2026
Week ends
(Sat-Sun)
Online/Offline
4 Hours Real Time Interactive Technical Training
(Suitable for working IT Professionals)
Save up to 20% in your Course Fee on our Job Seeker Course Series
Syllabus of Data Science with R Course
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 Data Science with R Training
The following are the learning outcomes of the Data Science with R Online Course:
- The fundamentals of data analysis and statistical computing
- How to do analytical programming with R
- How to use R’s data structures
- Debugging tools and R loop functions
- Concepts of object-oriented programming in R for data visualization
- How to handle errors
- Creating bespoke R functions
Why Softlogic Systems is the Best Choice for Data Science with R Training – Learn, Practice, and Get Placed!
Online & Offline Training Options
Learn from 100+ Real-Time Developers
Hands-on Projects & Codeathons
0% EMI Fee Options
Resume & Interview Support
Placement with Top IT Firms
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Highlights of Data Science with R Course
What is Data Science with R?
R programming offers a wealth of statistical modeling support. R offers aesthetically pleasing visualization features, making it an appropriate tool for a wide range of data science applications. R is widely used in ETL (Extract, Transform, Load) applications in data science. Learn more about it in our Data Science with R Online Training.
What are the reasons for learning Data Science with R?
Here are the reasons to choose data science with R for your career:
- Widely used, including Fortune 500 companies, government agencies, and so on.
- A highly flexible and powerful tool for statistical analysis.
- Excellent capabilities for creating high-quality data visualization
- Enormous packages for developing machine learning models.
What are the prerequisites for learning the Data Science with R Online Course?
To learn the Data Science with R Online Course, there are no strict prerequisites. However, a core understanding of programming languages and mathematics will help you learn our Data Science with R online course efficiently.
Our Online Data Science with R Course is suitable for:
- Students/Freshers
- Working professionals seeking a career transformation
- Any Job seeker with a computer science degree
What are the course fees and duration?
Our Data Science with R online training costs could differ based on the course level and program mode. The approximate online Data Science with R course fee is approximately ₹30,000 for the duration of 3 months, which includes international certification. Contact our learning managers for offers, discounts, and EMI options for Data Science with R Online Course Fees.
What are some job roles related to the Data Science with R Online Course?
Some jobs that can be applied for after our Data Science with R online course are:
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- Business Intelligence Analyst
- Healthcare Data Analyst
- Bioinformatics Specialist
What is the salary range for a data scientist with R skills?
Typically, a new data scientist with less than two years of experience makes between ₹8 and ₹9.5 lakhs a year. The average yearly compensation for a mid-career data scientist with three to four years of experience is approximately ₹12.8 lakhs. An experienced data scientist with over seven years of experience should expect to make approximately ₹19.7 lakhs per year on average.
List a few Data Science with R real-time applications.
Here are some real-time applications in the Data Science with R field:
- E-commerce platform
- Healthcare diagnosis
- Finance and fraud detection
- Manufacturing industry
- Social media analysis
- Online advertising
Boost Your Skills with Our Data Science with R Training Experts
Our Mentors are from Top Companies like:
- Our trainers are very knowledgeable and have worked with the software for over 10 years.
- They can provide certified instruction in R programming and data science.
- Their expertise lies in assisting learners in acquiring more rapid, adaptable, and dependable skill sets.
- They know all there is to know about data science and R programming, from data analysis and prediction to data purification, data exploration, and visualization.
- They are skilled at picking up new technologies quickly, comprehending and creating intricate analytics modules, and doing both theoretical and practical programming exceptionally well.
- They can efficiently instruct any size group and operate both individually and in student teams.
- They are in charge of effectively teaching pupils the required skills and securing their placement.
What Modes of Training are available for Data Science with R Course?
Offline / Classroom Training
- 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
Online Training
- 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
Corporate Training
- Industry endorsed Skilled Faculties
- Flexible Pricing Options
- Customized Syllabus
- 12X6 Assistance and Support
Certifications
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Hands-on Project Practices in Data Science with R Course
Speech Emotion Recognition
Gender Age Detection
Driver drowsiness detection
Diabetic Retinopathy
Image Caption Generator
Traffic Sign Recognition
Customer Segmentation
Uber Data Analysis
Fake News Detection
The SLA Way to Get Placed in Top IT Companies
Enrollment
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Realtime Projects
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FAQs
What is the role of R in data science?
R is an interactive environment for data science work, not merely a programming language. To learn more, enroll in our Data Science with R online course.
How useful is R in data science?
R offers a wealth of statistical modeling support. R offers aesthetically pleasing visualization features, making it an appropriate tool for a wide range of data science applications. R is widely used in ETL (Extract, Transform, Load) applications in data science.
Is R easier to use than Python for data science?
R often has a steeper learning curve at first, but it becomes much easier as you figure out how to use its capabilities.
Is it hard to learn R?
Because of its vast command set and distinct syntax from other languages like Python, R is regarded as one of the more challenging programming languages to master.
What is the future of R in data science?
R software has a bright future in the field of data science and plays an important role in it. R is a popular tool for modeling and statistical analysis jobs.
Is R programming in demand?
One reason for R’s widespread use is the wide range of visualization libraries available in the language. As a result, experts with expertise in R programming and data visualization are in great demand right now.
Does SLA provide placement support with the Data Science with R online course?
Yes, we help our students get into various jobs through our Data Science with R online course. To assist you in beginning your job search, we offer extra tools like recruiting drives, practice interviews, and interview preparation classes in our Data Science with R online training institute.
How many branches of SLA are there for the Data Science with R course?
SLA is located in two places to learn in person: K.K. Nagar and, Navalur along with the Data Science with R online course.
What is the format of a Data Science with R online training course?
Typically, our Data Science with R online course consists of lectures, case studies, assignments, project practices, and help with job placement.
Are SAS training courses offered at different levels?
Yes, there is a Data Science with R Online Course available at the beginner, intermediate, and advanced levels.
Additional Information for
the Data Science with R Course
What’s new in Data Science with R?
Here are the top-notch Data Science and R trends
- Tidyverse Enhancement
- Enhanced Interoperability
- Shiny Applications
- Performance Improvements
- Deep Learning and AI
- Big Data Integration
- Community Contribution
Key Features of Data Science with R
- Data Manipulation
- Data Visualization
- Statistical Analysis
- Data Import/Export
- Data Cleaning
- Machine Learning
- R Markdown
- Community Packages



















