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Data Science with R Training in Chennai


Amid the data-driven revolution, where insights fuel triumph, the call for skilled Data Scientists echoes louder than ever. Unlock Your Analytical Potential with Softlogic’s Data Science with R Training in Chennai. Immerse in Data Analytics, Machine Learning, Data visualization, and Big Data through our Data Science with R Training. Carve Your Journey to Analytical Excellence!

Download Data Science with R Course Syllabus PDF


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What this Course Includes?

  • Technology Training
  • Aptitude Training
  • Learn to Code (Codeathon)
  • Real Time Projects
  • Learn to Crack Interviews
  • Panel Mock Interview
  • Unlimited Interviews
  • Life Long Placement Support

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Course Syllabus

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Breakdown of Data Science with R Course Fee and Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
April 2024
Week days

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
April 2024
Week ends

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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What Modes of Training are available for Data Science with R?

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
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Objectives of Learning Data Science with R Course

Download Syllabus

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. 

Reason to choose SLA for Data Science with R training in Chennai

Opting for SLA in Chennai offers multiple benefits. Here are some key highlights of SLA’s training:

  • SLA stands out as the Exclusive Authorized Training and Testing partner in Tamil Nadu for leading tech giants including IBM, Microsoft, Cisco, Adobe, Autodesk, Meta, Apple, Tally, PMI, Unity, Intuit, IC3, ITS, ESB, and CSB ensuring globally recognized certification.
  • Learn directly from a diverse team of 100+ real-time developers as trainers providing practical, hands-on experience.
  • Instructor led Online and Offline Training. No recorded sessions.
  • Gain practical Technology Training through Real-Time Projects.
  • Best state of the art Infrastructure.
  • Develop essential Aptitude, Communication skills, Soft skills, and Interview techniques alongside Technical Training.
  • In addition to Monday to Friday Technical Training, Saturday sessions are arranged for Interview based assessments and exclusive doubt clarification.
  • Engage in Codeathon events for live project experiences, gaining exposure to real-world IT environments.
  • Placement Training on Resume building, LinkedIn profile creation and creating GitHub project Portfolios to become Job ready.
  • Attend insightful Guest Lectures by IT industry experts, enriching your understanding of the field.
  • Panel Mock Interviews
  • Enjoy genuine placement support at no cost. No backdoor jobs at SLA.
  • Unlimited Interview opportunities until you get placed.
  • 1000+ hiring partners.
  • Enjoy Lifelong placement support at no cost.
  • SLA is the only training company having distinguished placement reviews on Google ensuring credibility and reliability.
  • Enjoy affordable fees with 0% EMI options making quality training affordable to all.
Want to Speak to a Trainer about Data Science with R?Request a Free Callback

Highlights of The 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. 

Who are our Trainers for The Data Science with R Course?

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.
Want to Speak to a Trainer about Data Science with R?Request a Free Callback


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Project Practices for The Data Science with R Course

Market Segmentation in R

Using clustering techniques to categorize a market based on demographics, behavior, or psychographics.

Customer Lifetime Value Optimization in R

Maximizing customer lifetime value through optimized marketing strategies using R.

Anomaly Detection with R

Developing a model in R to identify unusual patterns or outliers in data, such as fraud or network intrusions.

Smart Home Automation with R

Creating an R-based system to automate and control smart home devices using sensor data and user preferences.

Credit Scoring in R

Building a model to assess creditworthiness using financial and demographic data.

Disease Diagnosis in R

Building a model to predict and diagnose specific diseases using medical data and patient information.

Natural Language Generation in R

Building an R-based system that generates human-like text, such as automated report generation.

Human Activity Recognition in R

Building an R-based system to classify human activities using sensor data from wearables or IoT devices.

A/B Testing in R

Analyzing experiments with product or website versions to understand user behavior.

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The SLA way to Become
a Data Science with R Expert


Technology Training

Coding Practices
Realtime Projects

Placement Training

Aptitude Training
Interview Skills
CRM System Testing

Panel Mock



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Placement Support for a Data Science with R Job

Genuine Placements. No Backdoor Jobs at Softlogic Systems.

Free 100% Placement Support

Aptitude Training
from Day 1

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 for
The Data Science with R Course

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

Our Data Science with R Training in Chennai has the best curriculum among other IT institutes ever. Our institute is located in the hub of IT companies, which creates abundance of opportunities for candidates.. Our Data Science with R course syllabus will teach you topics that no other institute will teach. Enroll in our Data Science with R training to explore some innovative Top project ideas 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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