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Data Science With R Programming Training In Chennai

Learn Data Science with R Programming in Chennai with Certification & Placements


Immek Softech Academy offers a comprehensive Data Science with R Programming training course in Chennai. This program is designed for students, working professionals, and freshers who want to build a career in analytics and machine learning. The course covers R programming basics and advanced topics such as statistical computing, predictive modeling, data visualization, and real-time project implementation. Moreover, it is one of the top data science with R programming training courses available.


This hands-on Data Science with R training helps you learn data science and R programming through practice. In addition, you will apply each concept to real datasets and case studies. Learners can choose classroom or online training. Expert trainers provide interactive mentorship and guidance. Furthermore, the course includes 100% placement assistance. As a result, this support ensures you can confidently start your career after completing the Data Science with R programming certification.

What You’ll Learn in Our Data Science with R Programming Course

  • Master R programming from scratch. This is the essential foundation; therefore, it is vital for any R programming for data science role.
  • Work with R libraries like dplyr, ggplot2, and tidyverse for data manipulation and visualization. Additionally, you’ll gain practical exposure through exercises.
  • Learn key machine learning algorithms and predictive modeling using R packages such as caret, randomForest, and e1071. Consequently, you’ll understand how models improve business outcomes.
  • Integrate SQL with R to handle, clean, and analyze large datasets efficiently. Moreover, this helps in managing complex data pipelines effectively.
  • Deploy interactive dashboards and applications using R Shiny. In addition, explore cloud deployment options as well.
  • Gain practical experience through live projects, industry case studies, and hackathons. Thus, this simulates real-world challenges.
  • Attend workshops and expert sessions. As a result, these provide insights into practical applications of data science with R across industries.
  • Enhance analytical thinking, problem-solving skills, and statistical reasoning through hands-on exercises. Furthermore, this boosts your professional confidence.
  • Enjoy lifetime access to updated course materials, tools, and resources for continuous learning in data science with R programming. Hence, your learning never stops.


By enrolling in our Data Science with R programming training course in Chennai, you gain the skills needed to excel in today’s competitive analytics and AI-driven job market. You will master core data analysis techniques and implement advanced machine learning workflows. Therefore, this program prepares you for high-paying roles in data science, analytics, and business intelligence.

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amazon-hiring company
IBM-hiring company
tech mahindra- hiring company
tcs- hiring company
oracle-hiring company
microsoft-hiring company
infosys-hiring company
HCL-hiring company
accenture-hiring company
ZOHO-hiring company
wipro -hiring company
google-hiring company
amazon-hiring company
IBM-hiring company
tech mahindra- hiring company
tcs- hiring company
oracle-hiring company
microsoft-hiring company
infosys-hiring company
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Data Science with R Programming Training Course in Chennai

Immek Softech Academy provides industry-aligned data science with R programming training in Chennai, designed to help learners build strong expertise in statistical analysis, data visualization, and machine learning using R. This comprehensive data science and R programming course covers key topics including regression models, clustering, time-series forecasting, and advanced data wrangling techniques with R. Through hands-on projects, real-world business case studies, and live datasets, learners gain practical experience in solving industry-relevant challenges. Our R programming for data science training is suitable for both freshers and professionals seeking to upskill, providing a structured pathway to become proficient Data Scientists. The course emphasizes application-based learning to ensure job-ready skills. Along with expert mentorship, interactive sessions, and up-to-date learning resources, participants receive full guidance for Data Science with R programming certification. Dedicated placement support is also provided, helping learners confidently step into high-demand roles in analytics, AI, and data science.

Pre-requisites for Data Science with R Programming Training in Chennai

  • Educational Background – A basic understanding of mathematics, statistics, or computer science is preferred (though not mandatory) before enrolling in our data science with R programming course in Chennai. These fundamentals will help you grasp analytical and modeling concepts more effectively.
  • Technical Skills – Familiarity with spreadsheets, basic programming, or logical problem-solving will enhance your experience in this R programming for data science training course, ensuring you get the most out of practical exercises and projects.
  • Work Experience (Optional) – Both fresh graduates and professionals from IT, analytics, finance, or research domains can benefit from our industry-focused data science with R programming training course. Prior exposure to data tasks is helpful but not required.
  • Analytical Mindset – Curiosity to explore data, interpret results, and solve real-world problems is key. This mindset will help you succeed in the data science with R program and prepare for Data Science with R programming certification and job-ready placements in Chennai.

Objectives of the Data Science with R Programming Course

  • Master Data Analysis & Statistical Programming – Develop strong skills in data manipulation, visualization, and statistical modeling using R in our data science with R programming training course in Chennai, guided by industry experts.
  • Enhance Real-Time Decision-Making – Apply R programming for predictive analytics, data-driven insights, and smarter business strategies through practical exercises in this R programming for data science course.
  • Gain Hands-on Experience – Work on live datasets, industry-based case studies, and real-world projects during your data science with R training to build practical expertise and problem-solving skills.
  • Automate & Optimize Data Workflows – Streamline data preparation, statistical analysis, and reporting using advanced R libraries, making complex tasks manageable as part of the data science and R programming curriculum.
  • Prepare for Data Science Certification – Get structured guidance to earn globally recognized Data Science with R programming certification, validating your skills and enhancing your career profile.
  • Unlock Career Growth – Step confidently into high-demand roles like Data Scientist, Business Intelligence Professional, or Data Analyst, supported by our data science with R programming training course placement assistance in Chennai.

Data Science with R Programming Syllabus – Training in Chennai

1. Introduction to Data Science with R
  • Overview of data science with R programming and its industry applications.
  • Importance of R in statistical computing, predictive analytics, and data visualization.
  • Real-world use cases of R programming for data science across various domains.
2. Setting Up the R Environment
  • Installing R and RStudio for practical R programming training.
  • Introduction to essential packages like tidyverse, caret, and randomForest.
  • Understanding workflow and best practices for data science with R projects.
3. Data Structures in R
  • Vectors, matrices, data frames, and lists for data science with R programming.
  • Manipulating and subsetting data efficiently for analysis tasks.
  • Handling structured and unstructured datasets in R.
4. Data Manipulation in R
  • Cleaning and transforming data using dplyr and tidyr.
  • Handling missing values, dates, and feature engineering.
  • Applying R programming for data science best practices for preprocessing datasets.
5. Data Visualization with R
  • Creating charts and plots using ggplot2 for business insights.
  • Building interactive dashboards with Shiny and plotly.
  • Customizing visualizations to effectively communicate analytical results.
6. Exploratory Data Analysis (EDA)
  • Descriptive statistics: mean, median, variance, and standard deviation.
  • Correlation and relationship analysis using R functions.
  • Preparing datasets for machine learning and predictive modeling.
7. Statistical Inference in R
  • Hypothesis testing: t-test, chi-square, and ANOVA.
  • Confidence intervals, p-values, and sampling techniques.
  • Applying statistical reasoning in data science with R projects.
8. Regression Analysis with R
  • Linear, multiple, and polynomial regression models.
  • Model evaluation metrics: R-squared, RMSE, and AIC.
  • Residual analysis and interpretation for data-driven decisions.
9. Logistic Regression & Classification
  • Binary and multiclass classification techniques.
  • Using confusion matrices, ROC, and AUC for model evaluation.
  • Practical classification applications in business scenarios.
10. Advanced Regression & Regularization
  • Ridge, Lasso, and ElasticNet regression methods.
  • Stepwise regression and feature selection techniques.
  • Preventing overfitting in R programming for data science projects.
11. Unsupervised Learning: Clustering & PCA
  • K-means, hierarchical clustering, and DBSCAN.
  • Principal Component Analysis (PCA) for dimensionality reduction.
  • Applying unsupervised methods in data science with R projects.
12. Time Series Analysis
  • Time series decomposition, trend, and seasonality detection.
  • Forecasting with ARIMA and exponential smoothing in R.
  • Practical project applications in finance and business analytics.
13. Text Mining & NLP with R
  • Text preprocessing, tokenization, and sentiment analysis using tidytext.
  • Word clouds, topic modeling, and text classification.
  • Real-world NLP applications for data science with R programming.
14. Association Rule Mining
  • Market Basket Analysis using Apriori algorithm.
  • Support, Confidence, and Lift measures in R.
  • Retail dataset applications in R programming for data science.
15. Advanced Machine Learning in R
  • Support Vector Machines (SVM), Gradient Boosting, and XGBoost.
  • Building predictive models for classification and regression tasks.
  • Hands-on projects using data science with R programming techniques.
16. Neural Networks & Deep Learning
  • Introduction to neural networks and deep learning concepts.
  • Implementing deep learning models with keras and tensorflow in R.
  • Practical applications for predictive analytics and AI solutions.
17. Big Data Handling in R
  • Working with large datasets using data.table and parallel computing.
  • Integration with Hadoop and Spark for scalable analytics.
  • Optimizing performance for R programming for data science workflows.
18. R with SQL for Data Science
  • Database connectivity using RMySQL and RSQLite.
  • Executing SQL queries within R for data extraction.
  • Handling enterprise-level datasets for analysis and modeling.
19. Geospatial Data Analysis with R
  • Analyzing spatial datasets using sf and leaflet packages.
  • Clustering and visualization of geospatial data.
  • Applications in urban planning, logistics, and environmental studies.
20. Model Deployment & Cloud Integration
  • Saving and loading ML models using R.
  • Deploying APIs and dashboards with Plumber and Shiny.
  • Cloud deployment on AWS and Azure for scalable solutions.
21. Real-World Data Science Projects
  • End-to-end projects across finance, healthcare, retail, and marketing datasets.
  • Apply data science with R skills to solve business problems.
  • Capstone projects with placement-oriented learning outcomes.
22. Career Development & Interview Preparation
  • Resume building tailored for data science with R programming careers.
  • Mock interviews, case studies, and skill assessments.
  • 100% placement support and guidance for Data Science with R programming certification.
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Tools Covered in Data Science with R Programming Training in Chennai

1. Core Tools in Data Science with R Programming Course
  • R Programming Language – Learn foundational and advanced concepts to manipulate datasets, apply statistical techniques, and build predictive models effectively during your data science with R programming training course.
  • Tidyverse Ecosystem – Master essential R packages like dplyr, tidyr, and ggplot2 for data cleaning, transformation, and high-quality visualizations in R programming for data science projects.
  • Data Handling & Reporting – Work with data.frame, tibble, and R Markdown for structured analysis, reproducible research, and professional reporting in data science with R certification projects.
2. Advanced R Tools in Data Science Training
  • RStudio IDE – Streamline coding workflows and enhance productivity with the standard IDE for data science and R programming training in Chennai.
  • Machine Learning with R – Build classification, regression, and clustering models using caret, randomForest, e1071, and xgboost as part of data science with R programming learning.
  • Shiny App Development – Create interactive dashboards and web applications using shiny and shinydashboard, a practical skill for R programming for data science placement projects.
3. Data Analytics & Automation Tools in R
  • Data Visualization with ggplot2 & plotly – Develop interactive and informative visualizations to convey insights effectively during data science with R programming training.
  • Automated Reporting – Generate professional PDF, HTML, or Word reports using R Markdown and knitr for real-world R programming for data science projects.
4. Data Science Integration & Customization
  • SQL with R – Connect R with databases using DBI, RMySQL, and RSQLite to run queries and manage enterprise datasets in data science with R programming tasks.
  • API & Web Scraping Tools – Use packages like httr, jsonlite, and rvest to fetch, process, and integrate external data for robust data science with R programming training course projects.

Top Data Science with R Programming Interview Questions – Job Preparation Guide

General Data Science (R-Focused)
  • What is Data Science, and how does R programming enable statistical computing, predictive modeling, and advanced analytics in real-world scenarios for data science with R programming learners?
  • How does R compare to Python in terms of data visualization, performance, and ease of use for projects in a data science and R programming training course?
  • What are the key stages of the data science lifecycle, and how does R programming for data science prepare professionals for practical application and deployment?
R Programming & Core Data Handling
  • How do you import, clean, and manipulate datasets using tidyverse packages like dplyr and tidyr during a data science with R programming training course project?
  • Explain how ggplot2 is used to create advanced visualizations and how it differs from base R plotting methods taught in R programming for data science sessions.
  • What are factors in R, and why are they important for handling categorical variables in data science with R projects?
Statistics & Machine Learning in R
  • How is hypothesis testing performed in R? Provide an example using t.test() or chisq.test() as applied in data science with R programming scenarios.
  • Explain supervised vs. unsupervised learning in R, including packages like caret or randomForest used in a data science with R programming training course.
  • How would you build and evaluate a logistic regression model using R, and which performance metrics are typically applied in R programming for data science projects?
Data Science Projects & Case Studies
  • Describe a real-world project completed with data science with R programming, such as customer segmentation, predictive modeling, or sentiment analysis.
  • How do you handle missing values, outliers, and imbalanced datasets in R, and what techniques are applied during R programming for data science training?
  • Which model evaluation metrics like RMSE, R², or confusion matrix are most effective for assessing outcomes in data science and R programming projects, and how do they prepare you for Data Science with R programming certification interviews?

Why Immek Softech Academy is the Best Data Science with R Programming Training Institute in Chennai

High Success Rate in Data Science with R Programming – Recognized as one of Chennai’s top institutes, our data science with R programming training course ensures learners gain practical skills in data manipulation, visualization, and predictive modeling, enhancing career success and R programming placement opportunities.
Job-Oriented Curriculum – The data science and R programming course covers the entire analytics lifecycle, from statistics, R-based data wrangling, and machine learning to interactive dashboards and reporting, designed to align with current industry requirements.
Hands-on Experience – Gain practical exposure through live projects, R-based assignments, and business case studies in our data science with R training program, enabling you to apply skills to real-world data challenges effectively.
Expert Trainers – Learn from certified data scientists and industry professionals specializing in R programming for data science and analytics, ensuring a career-focused, hands-on learning experience with personalized mentoring.
Career & Certification Support – Receive 100% job assistance, resume building, mock interviews, and guidance for globally recognized Data Science with R programming certification, helping you secure high-demand roles confidently.
High-Demand Career Paths – Our data science with R programming training course equips learners for roles like Data Analyst, R Programmer, and Business Intelligence Specialist, tailored to meet evolving analytics and data science industry needs.
Flexible Learning Options – Choose from online or classroom sessions with weekday, weekend, or fast-track batch options for our data science with R programming course in Chennai, allowing learners to progress at their own pace while gaining practical skills.

Benefits of Data Science with R Programming Training at Immek Softech Academy

  • Industry-Focused Curriculum – Master data science with R programming through real-world projects covering statistical modeling, data analysis, and machine learning. The curriculum is aligned with current business and analytics requirements to prepare you for practical applications.
  • Hands-on Training – Gain practical skills by working on live datasets, R programming exercises, and predictive modeling projects. This R programming for data science approach ensures you build job-ready expertise in data cleaning, visualization, and analytics.
  • Expert-Led Sessions – Learn from certified professionals and industry experts specializing in data science with R and analytics. Trainers provide interactive sessions, practical guidance, and mentorship tailored for both beginners and working professionals.
  • Certification Assistance – Receive complete support to prepare for and achieve globally recognized Data Science with R programming certification, enhancing your professional credibility and career profile.
  • 100% Job Placement Support – Benefit from resume building, interview preparation, and placement assistance specifically for data science and R programming roles. We focus on helping you secure positions in top analytics and data-driven companies.
  • Flexible Learning Options – Choose from online or classroom-based data science with R programming training courses in Chennai, including weekday, weekend, and fast-track batches to match your personal schedule.
  • High-Demand Career Opportunities – Unlock roles such as Data Analyst, R Programmer, or Business Intelligence Specialist with the skills acquired through our data science with R programming training course, preparing you for high-growth career paths in analytics and AI-driven industries.

Get Job-Ready with Data Science with R Programming and Placement Support

  • 100% Job Assistance – Receive complete placement support to secure roles in Data Science, Analytics, and R programming through our industry-focused Data Science with R programming training course in Chennai.
  • Professional Resume Building – Craft a data-driven resume highlighting your skills in R programming, statistical modeling, predictive analytics, and visualization, aligned with industry requirements for data science with R careers.
  • Interview Preparation – Participate in mock interviews, scenario-based questions, and expert feedback tailored for Data Analyst, R Programmer, and Business Intelligence roles, ensuring you confidently tackle real-world job interviews.
  • Industry Tie-Ups – Access exclusive job openings, internships, and placement referrals through our partnerships with leading analytics, IT, and research companies, enhancing your R programming for data science placement opportunities.
  • Data Science with R Certification Guidance – Get structured mentoring and practical exercises to successfully prepare for globally recognized Data Science with R programming certification exams, building credibility in the analytics domain.
  • Career Mentorship – Personalized guidance to help you grow as a Data Scientist, Business Intelligence Specialist, or R programming professional, ensuring your skills are industry-ready after completing our data science with R programming training course.

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    Course Duration 30 Hrs.

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    05-March-2025
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    01-Mar-2025
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    Prakesh

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    The sessions conducted were very engaging.The trainer Chetan Babbar is knowledge and ensures every single query is answered.His approach towards simplifying complex concepts with examples is very good.Exellent trainer.
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    The sessions conducted were very engaging.The trainer Chetan Babbar is knowledge and ensures every single query is answered.His approach towards simplifying complex concepts with examples is very good.Exellent trainer.
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    Vasanth

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    The sessions conducted were very engaging.The trainer Chetan Babbar is knowledge and ensures every single query is answered.His approach towards simplifying complex concepts with examples is very good.Exellent trainer.
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    Hariharan

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    The sessions conducted were very engaging.The trainer Chetan Babbar is knowledge and ensures every single query is answered.His approach towards simplifying complex concepts with examples is very good.Exellent trainer.
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    Frequently Asked Questions (FAQ)

    1. Who can enroll in this Data Science with R Programming course?

    Anyone with a background in science, commerce, engineering, mathematics, statistics, or IT can enroll. No prior programming experience is required. Our Data Science with R programming training course is suitable for both beginners and working professionals aiming to build practical R programming skills.
    Learning data science with R programming equips you with statistical analysis, data visualization, predictive modeling, and machine learning skills. Professionals trained in R are highly sought in industries like finance, healthcare, marketing, and technology. It also enhances career opportunities and prepares you for Data Science with R programming certification.
    Yes! We offer both online and classroom options for our Data Science with R programming training course. Learners can select flexible schedules to complete the course conveniently from any location.
    Absolutely. The course includes real-world projects, case studies, and domain-specific datasets using R. You’ll gain practical experience in data cleaning, visualization, statistical modeling, and predictive analytics as part of your R programming for data science training.
    • Yes. The Data Science with R programming training course is aligned with globally recognized Data Science with R programming certification exams. Structured guidance, practice exercises, and expert mentorship help you achieve certification successfully.
    Yes! Our Data Science with R programming training course includes resume preparation, interview guidance, and dedicated placement support. Students gain access to job opportunities in analytics, IT, and research firms to secure roles as Data Analysts, R Programmers, or Business Intelligence professionals.
    After completing the Data Science with R programming training course and placement support, entry-level professionals can expect salaries ranging from ₹4 LPA to ₹6 LPA. With experience, advanced skills, and certifications, professionals can earn ₹8 LPA to ₹15+ LPA in roles such as Data Scientist, R Programmer, or Analytics Specialist.

    Career Assistance

    Expert trainer mentoring a student during data science with R programming training in Chennai

    Live sessions and placement support for students of our Data Science with R programming training course.

    • - Build an Impressive R Programming Resume
    • - Get Tips from Trainers to Clear Interviews
    • - Attend Mock Interviews with Experts
    • - Get Interview Opportunities & Get Hired