Upgrade your career with the Data Science With R Training in Chennai at Softlogic Systems. 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. Our Data Science With R course in Chennai comes with placement support, flexible schedules, real-time projects, and certification to help you successfully launch your career. Our placement team connects you with top IT companies for a smooth career transition.
Data Science With R Training In Chennai
4.80
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DURATION
2 Months
EMI
0% Interest
Mode
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Course Syllabus
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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)
Course Fee
July 2026
Week ends
(Sat-Sun)
Online/Offline
4 Hours Real Time Interactive Technical Training
(Suitable for working IT Professionals)
Course Fee
Save up to 20% in your Course Fee on our Job Seeker Course Series
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Syllabus of Data Science with R 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 Data Science with R Training
Since the introduction of combined courses in the realm of IT institutes started to happen, we too have combined the courses of Data Science and R together thereby giving students more knowledge in less time. In this course you will be benefited by gaining the knowledge in R related topics like Downloading and installing, downloading and installing, subsetting, reading from csv files and more. Students will also learn a lot from data science related topics such as – creating bar chart and dot plot, plotting with base graphics, basic statistics, testing proportion and more.
After finishing the course students will have a holistic knowledge in the combined concepts related to R and Data Science like –
- Data inputting in R
- Data Visualization
- Basic Statistic
- Function and Programming in R
- Data Manipulation in R etc.
Why Softlogic Systems is the Best Choice for Data Science with R Training – Learn, Practice, and Get Placed!
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.
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.
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Highlights of Data Science with R Course
What is Data Science with R?
Data Science with R is a field that involves using the R programming language for various stages of the data science process, including data manipulation, visualization, statistical analysis, machine learning, and more. R is a powerful and widely-used programming language and environment specifically designed for statistical computing, data analysis, and graphical representation.
What are the reasons to learn Data Science with R?
Learning Data Science with R offers several compelling reasons due to the unique advantages it provides:
- Statistical Power:R simplifies complex analyses and hypothesis testing.
- Visual Excellence: R creates customizable and compelling data visualizations.
- Active Community: R offers a vibrant community for support and knowledge sharing.
- Machine Learning: R provides diverse packages for predictive modeling.
- Reproducibility: R scripts ensure transparent and replicable analyses.
What are the prerequisites to learn Data Science with R?
Our Data Science with R Training doesn’t require strict prerequisites, but a basic understanding of data concepts and programming can help.
Our Data Science with R course is suitable for individuals of all backgrounds,
- Students
- Professionals looking to switch to a data science career with R.
- IT specialists wanting to enhance their data science skills with R.
- Enthusiasts curious about using R for data analysis.
- Job seekers aiming to boost their opportunities in data-focused roles.
What are the course fees and duration?
The fees for our R Data Science Course may vary depending on the program level (basic, intermediate, or advanced) and the course format (online or in-person). On average, R Data Science Course Fees is affordable and lasts for 2 Months including international certification. For precise and up-to-date information on fees, duration, and certification, please contact our Data Science with R Training in Chennai directly.
What are the jobs related to Data Science with R?
Data Science with R opens doors to a range of exciting job opportunities across various industries. Here are some job roles directly related to Data Science using R:
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- Business Intelligence Analyst
- Healthcare Data Analyst
- Bioinformatics Specialist
List a few Data Science with R real-time applications?
Data Science with R finds real-time applications in various industries, transforming data into actionable insights. Here are some notable examples:
- E-Commerce Personalization: Amazon’s Recommendations
- Finance and Fraud Detection: PayPal’s Fraud Analytics
- Healthcare Diagnosis: Mayo Clinic’s Diagnostics Assistant
- Manufacturing Quality Control: Tesla’s Sensor Analysis
- Social Media Sentiment Analysis: Twitter’s Sentiment Analyzer
- Online Advertising Optimization: Google’s Ad Bidding with R
What is the salary range for the position of Data Scientist?
As per data from AmbitionBox, the Data Scientist freshers salary typically with less than 2 years of experience earn approximately ₹8 – 9.5 lakhs annually. For mid-career Data Scientist with 3-4 years of experience, the average annual salary is around ₹12.8 lakhs. An experienced Data Scientist with more than 7 years of experience can anticipate an average yearly salary of around ₹19.7 lakhs.
Boost Your Skills with Our Data Science with R Training Experts
Our Mentors are from Top Companies like:
- Our trainers are highly skilled and have 10+ years of extensive experience working with the software and offering certified training in Data Science and R programming.
- They are specialized in helping students develop faster, more flexible, and reliable skill sets.
- They are well-versed in the entire Data Science and R programming suite including data visualization and exploration, data cleansing, data analysis and predictive modelling.
- They have conducted numerous workshops introducing the complexities of Data Science and R programming and providing a comprehensive overview of the product.
- They provide in-depth knowledge of Algorithms and Big data tools like Hadoop, Apache Spark and NoSQL Databases.
- They provide accurate guidance for visualization and simulation for real-time application development and high-performance computation.
- They have developed a wide range of technical problem-solving skills suitable for various business environments and are well-known for their ability to improvise and develop innovative solutions to difficult problems.
- They are adept at rapidly assimilating new technologies, understanding and developing complex modules of analytics and excel in both theory and practical programming.
- They have the ability to work with teams of students or individually and have the skills to effectively train groups of any size.
- With their experience and capabilities, they are responsible for successfully imparting the necessary skills to students and making them get placed.
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What Modes of Training are available for Data Science with R 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
Online Training
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
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
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Certifications
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Improve your abilities to get access to rewarding possibilities
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Stand Out from the Crowd with Codethon Certificate
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Hands-on Project Practices in Data Science with R Course
Market Segmentation in R
Customer Lifetime Value Optimization in R
Anomaly Detection with R
Smart Home Automation with R
Credit Scoring in R
Disease Diagnosis in R
Natural Language Generation in R
Human Activity Recognition in R
A/B Testing in R
The SLA Way to Get Placed in Top IT Companies
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Realtime Projects
Realtime Projects
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Genuine Placements. No Backdoor Jobs at Softlogic Systems.
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Interview Skills
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Softskills Training
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Build your LinkedIn Profile
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FAQs
What kind of data manipulation can be done using R?
The data manipulation tasks that can be done using R include filtering data, calculating summaries, sorting data, reshaping data, adding/removing columns, and creating new variables.
How is R different from other programming languages?
The main difference between R and other language is its emphasis on data manipulation; R is tailored to help scientists, statisticians, and mathematicians answer questions about their data. It also provides a powerful programming language that can be used for general and specialized tasks, as well as a comprehensive suite of user-friendly graphical tools for all kinds of data analysis.
What is the main purpose of using R programming language?
The main purpose of R programming language is to provide a comprehensive environment for statistical computing and graphics. With its vast selection of packages and data resources, this language allows the user to explore a range of statistical and graphical techniques and to produce quality visualisations.
What is the “RStudio” platform in relation to R?
RStudio is an integrated development environment (IDE) for R. It provides a graphical user interface to run R and explore its features. It also offers editing and organizing capabilities, debugging tools, and optimization of code.
How does R compare to other big data analytics tools?
R is able to handle large amounts of data and provides a comprehensive suite of graphical and statistical analytics tools. Additionally, R is open-source and is highly flexible – allowing users to customize their analyses and integrate the language with other software.
What libraries/packages do I need to install to use R?
Different tasks will require different libraries/packages. Some of the most common packages used in R are dplyr, ggplot2, tidyr, reshape2, stringr, and plyr.
What are the job opportunities available after completing the Data Science with R Programming training?
After completing the Data Science with R programming training, you may be eligible for a variety of jobs such as data analyst, data engineer, data scientist, and business intelligence specialist.
What kind of projects will I complete as part of the training?
In this course, you will work on a range of data science projects such as exploratory data analysis, data wrangling, data visualization, machine learning algorithms, and generative modeling.
Is this training suitable for beginners?
Yes, this course is suitable for beginners who wish to learn the basics of data science with R programming.
Does Softlogic provide any placement support after the training?
Yes, Softlogic provides consulting and placement services to help you find a job after the training is completed.
Additional Information for
the Data Science with R Course
What are the benefits of learning data science and R together?
Learning Data Science alongside R provides numerous advantages:
- Comprehensive Skill Development: R, renowned for statistical computing and graphics, complements Data Science learning by enabling proficiency in data handling from cleaning to visualization and analysis.
- Utility in Diverse Fields: As a widely used tool among statisticians and data analysts, mastering R along with Data Science principles enhances job market appeal, given its extensive application in academia, research, and various industries.
- Access to a Diverse Ecosystem: R has a vast collection of packages tailored for data analysis, machine learning, and statistical modeling. Incorporating R into Data Science education facilitates efficient utilization of these resources for complex analyses.
- Facilitated Statistical Analysis: Given the complicated statistical functions and libraries, R proves ideal for conducting diverse statistical analyses essential in Data Science, including hypothesis testing, regression analysis, and time series analysis.
- Powerful Visualization Tools: R’s visualization capabilities, notably through packages empower users to create high-quality, customizable graphics. Proficiency in implementing visualization principles using R aids effective communication of data-derived insights.
- Easy Integration with Complementary Tools: R seamlessly integrates with various tools prevalent in Data Science workflows, such as databases, Python, and big data frameworks like Apache Spark. Mastery of R alongside Data Science facilitates versatility in handling a spectrum of tools and technologies.
- Benefit from a Supportive Community: R’s vibrant user community provides extensive support, knowledge sharing, and resource availability through forums and online platforms. Learning R within the context of Data Science grants access to this supportive ecosystem, invaluable for continual learning and growth.
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