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Data Science With R Programming Training In Chennai

Best Data Science With R Programming Training in Chennai


Immek Softech Academy offers the most comprehensive Data Science with R Programming Training in Chennai. This program is designed for students, professionals, and freshers who want to build a career in analytics and machine learning. The course covers everything from R programming basics to advanced topics such as statistical computing, data visualization, predictive modeling, and real-time project development. Moreover, with an industry-focused curriculum, you will learn how to apply R to solve business challenges effectively.


Our R programming training in Chennai provides hands-on experience with real datasets, enabling you to analyze, interpret, and visualize data. Furthermore, whether you choose classroom or online learning, our expert trainers ensure personalized guidance. In addition, along with technical training, we provide 100% placement support so you can confidently step into the data science industry.

What You’ll Learn in Our Data Science With R Programming Course
  • First, master R programming from scratch – the foundation of data science and statistical analysis.
  • Next, work with dplyr, ggplot2, and tidyverse for advanced data manipulation and visualization.
  • Additionally, understand key machine learning algorithms and predictive modeling using R packages like caret and randomForest.
  • You will also integrate SQL with R for handling and extracting data from large datasets.
  • Moreover, deploy interactive models using R Shiny applications and explore cloud-based deployment options.
  • In addition, work on live projects, industry-based case studies, and participate in hackathons for practical exposure.
  • Furthermore, gain valuable insights through workshops and expert sessions on real-world data science applications.
  • As a result, strengthen your statistical knowledge, problem-solving abilities, and analytical skills.
  • Finally, get lifetime access to updated R programming course materials and resources.


By enrolling in this Data Science with R Programming Training in Chennai, you gain the skills needed to excel in today’s competitive job market. Therefore, from learning core data analysis techniques to mastering advanced machine learning workflows, our course effectively prepares you for high-paying roles in data science and analytics.

Job Assistance

300K+ Enrolled

500+

Professionals Trained

4+

Batches every month

20+

Countries & Counting

100+

Corporate Served

Partnering with world's leading universities and companies

Data Science with R Programming Training Course in Chennai

Immek Softech Academy offers expert-led data science with R programming training in Chennai, designed to help learners gain strong skills in statistical analysis, data visualization, and machine learning using R. This job-oriented data science with R programming course covers essential topics such as regression models, clustering, time-series forecasting, and advanced data wrangling techniques. With hands-on projects, business case studies, and real-time datasets, learners get practical exposure to solving industry-relevant problems. Whether you are a fresher or a professional, our R programming training provides a structured pathway to become a skilled Data Scientist. Along with expert guidance and certification, we also offer dedicated R programming placement support, helping you confidently step into high-demand analytics and data science roles.

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

  • Educational Background – A basic understanding of mathematics, statistics, or computer science is preferred (but not mandatory) for enrolling in our data science with R programming course in Chennai.
  • Technical Skills – Familiarity with spreadsheets, logical reasoning, or programming basics will make your R programming training smoother and help you get the most out of this hands-on Data Science course.
  • Work Experience (Optional) – Both freshers and professionals from analytics, IT, finance, or research domains can benefit equally from this industry-focused data science with R programming training course. Prior exposure to data-related tasks is helpful but not required.
  • Analytical Mindset – A curiosity to work with data, interpret results, and solve real-world challenges is essential. This approach ensures you succeed in your learning journey and become career-ready with our R programming placement support in Chennai.

Objectives of Data Science with R Programming Course

  • Master Data Analysis & Statistical Programming – Learn data manipulation, visualization, and statistical modeling using R in our expert-led data science with R programming course in Chennai.
  • Enhance Real-Time Decision-Making – Use R programming tools for accurate data insights, predictive analytics, and smarter business strategies through this structured R programming training.
  • Gain Hands-on Experience – Work on live projects, case studies, and business scenarios during your data science with R programming training in Chennai to build practical expertise.
  • Automate & Optimize Data Workflows – Streamline data preparation, statistical analysis, and reporting with advanced R libraries to simplify complex workflows.
  • Prepare for Data Science Certification – Develop the core skills required to clear global Data Science certifications with focused learning through our R programming training course.
  • Unlock Career Growth – Step into high-demand roles such as Data Scientist, Business Intelligence Professional, or Data Analyst with 100% R programming placement assistance from Immek Softech Academy.

Data Science with R Programming Syllabus – Data Science Training in Chennai

1. Introduction to Data Science with R
  • Overview of R for Data Science and its applications
  • Importance of R in statistical computing and data analysis
  • Industry use cases of data science with R programming
2. Setting Up the R Environment
  • Installing R and RStudio for R programming training
  • Introduction to key packages (tidyverse, caret, etc.)
  • Understanding coding workflow in R
3. Data Structures in R
  • Vectors, matrices, data frames, and lists
  • Data manipulation and subsetting
  • Handling structured and unstructured datasets
4. Data Manipulation in R
  • Data cleaning using dplyr and tidyr
  • Transformation techniques and feature handling
  • Working with dates, times, and missing values
5. Data Visualization with R
  • Creating visualizations with ggplot2
  • Customizing plots for business insights
  • Building interactive dashboards using plotly and Shiny
6. Exploratory Data Analysis (EDA)
  • Descriptive statistics: mean, median, variance, standard deviation
  • Summarization using summary() and aggregate()
  • Correlation and relationship analysis
7. Statistical Inference in R
  • Hypothesis testing: t-test, chi-square, ANOVA
  • Confidence intervals and p-values
  • Sampling techniques and randomization
8. Regression Analysis with R
  • Linear, multiple, and polynomial regression
  • Model evaluation: R-squared, RMSE, AIC
  • Residual analysis and diagnostics
9. Logistic Regression
  • Binary and multiclass classification
  • Confusion matrix, ROC, and AUC
  • Practical applications in business cases
10. Advanced Regression Techniques
  • Ridge, Lasso, and ElasticNet regression
  • Stepwise regression for feature selection
  • Regularization methods to avoid overfitting
11. Classification Algorithms
  • K-Nearest Neighbors (KNN)
  • Decision Trees and Random Forests
  • Naive Bayes and SVM models
12. Unsupervised Learning: Clustering
  • K-means clustering
  • Hierarchical clustering methods
  • DBSCAN and cluster evaluation metrics
13. Principal Component Analysis (PCA)
  • Dimensionality reduction techniques
  • Visualization using PCA
  • Eigenvalues and Eigenvectors explained
14. Time Series Analysis
  • Time series decomposition and forecasting
  • ARIMA modeling and exponential smoothing
  • Seasonality and trend analysis in R
15. Text Mining & NLP with R
  • Text preprocessing and tokenization
  • Sentiment analysis using tidytext
  • Word clouds, topic modeling, and classification
16. Association Rule Mining
  • Market Basket Analysis and Apriori algorithm
  • Support, Confidence, Lift measures
  • Implementing rules in R for retail datasets
17. Model Selection & Evaluation
  • Cross-validation and k-folds
  • Hyperparameter tuning in R
  • Performance metrics: accuracy, precision, recall, F1
18. Advanced Machine Learning
  • Support Vector Machines (SVM)
  • Gradient Boosting Machines (GBM)
  • XGBoost implementation in R
19. Neural Networks & Deep Learning
  • Basics of Neural Networks
  • Deep learning with keras and tensorflow in R
  • Building predictive models with R
20. Big Data Handling in R
  • Using data.table for large datasets
  • Integration with Hadoop and Spark
  • Parallel computing and efficiency in R
21. R with SQL for Data Science
  • Database connectivity using RMySQL and RSQLite
  • Running SQL queries in R
  • Handling enterprise-level datasets
22. Geospatial Data Analysis with R
  • Analyzing maps with sf and leaflet packages
  • Geospatial clustering techniques
  • Real-world applications in urban planning
23. Deploying Models in R
  • Saving/loading ML models in R
  • Building APIs with Plumber and Shiny
  • Cloud deployment with AWS and Azure
24. Data Science Projects & Case Studies
  • End-to-end projects with R programming
  • Case studies in finance, healthcare, and retail
  • Capstone projects with placement focus
25. Career Development & Placement Support
  • Resume building for Data Science careers
  • Mock interviews and skill assessments
  • 100% R programming placement support with certification prep
View more

Tools Covered in Data Science with R Programming Training in Chennai

1. Core Tools Covered in Data Science with R Programming Course
  • R Programming Language – Learn foundational and advanced concepts to manipulate datasets, build models, and apply statistical techniques effectively during your R programming training.
  • Tidyverse Ecosystem – Master key R packages like dplyr, tidyr, and ggplot2 for seamless data wrangling, cleaning, and high-quality visualizations in this Data Science with R programming course.
  • Data Handling & Reporting – Work with data.frame, tibble, and R Markdown for structured analysis and professional reporting, useful for R programming placement projects.
2. Advanced R Tools in Data Science Training
  • RStudio IDE – Enhance productivity and streamline workflows using RStudio, the standard IDE for Data Science with R programming training in Chennai.
  • Machine Learning with R – Build predictive models using caret, randomForest, e1071, and xgboost for regression, classification, and clustering tasks.
  • Shiny App Development – Develop interactive dashboards and real-time web applications with shiny and shinydashboard, a valuable skill for R programming placement opportunities.
3. Data Analytics & Automation Tools in R
  • Data Visualization with ggplot2 & plotly – Create powerful and interactive visualizations to communicate insights clearly in this R programming training course.
  • Automated Reporting – Generate automated reports in PDF, HTML, or Word using R Markdown and knitr for professional documentation.
4. Data Science Integration & Customization
  • SQL with R – Connect R with databases through DBI, RMySQL, and RSQLite to handle queries directly within the R environment.
  • API & Web Scraping Tools – Use httr, jsonlite, and rvest packages to fetch and enrich external data, making your Data Science with R programming projects more robust.

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 support statistical computing and predictive modeling in real-world applications?
  • How does R compare with Python in terms of data visualization, performance, and ease of use for data science with R programming course learners?
  • What are the key steps in the data science lifecycle, and how does R programming training prepare professionals for practical 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 project?
  • Explain how ggplot2 is used to create advanced visualizations. How is it different from base R plotting methods taught in R programming training?
  • What are factors in R, and why are they essential for handling categorical variables in data science projects?
Statistics & Machine Learning in R
  • How is hypothesis testing performed in R? Give an example using t.test() or chisq.test(), as applied in data science with R programming scenarios.
  • Explain supervised vs. unsupervised learning in R, and mention packages like caret or randomForest used in data science with R programming course practice.
  • How would you build and evaluate a logistic regression model using R, and what are the typical performance metrics applied?
Data Science Projects & Case Studies
  • Describe a real-world project done with data science with R programming, such as customer segmentation, predictive modeling, or sentiment analysis.
  • How do you handle missing values, outliers, and imbalanced data in R, and what techniques are applied during R programming training?
  • What model evaluation metrics like RMSE, R², or confusion matrix are most useful for assessing outcomes in R-based data science projects, and how do they support R programming placement 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 the best institutes in Chennai, our Data Science with R programming course ensures students gain hands-on expertise in analytics, visualization, and predictive modeling, boosting their career success and R programming placement opportunities.
Job-Oriented Curriculum – Our R programming training covers the full Data Science lifecycle, from statistics and data wrangling to advanced machine learning and dashboard creation with R, designed to meet industry demands effectively.
Hands-on Experience – Gain practical exposure through real-time projects, business case studies, and R-based assignments that help you apply your learning to real-world data problems in our Data Science with R programming course.
Expert Trainers – Learn directly from certified data scientists and professionals with strong expertise in R programming, analytics, and business intelligence, ensuring a career-focused learning experience.
Career & Certification Support – We provide 100% job support, resume preparation, mock interviews, and guidance for top Data Science certifications, helping you secure the right R programming placement opportunities.
High-Demand Career Paths – Prepare for roles like Data Analyst, R Programmer, or Business Intelligence Expert through our structured Data Science with R programming training, aligned with current industry needs.
Flexible Learning Options – Choose from classroom sessions or online Data Science training in Chennai with flexible schedules including weekend, weekday, and fast-track batches, making it easier to complete your R programming training at your pace.

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

  • Industry-Focused Curriculum – Gain expertise in Data Science with R programming through projects that cover business analytics, machine learning, and statistical modeling aligned with current industry needs.
  • Hands-on Training – Build practical skills with live Data Science projects, R programming training exercises, and case studies in data cleaning, visualization, and predictive modeling.
  • Expert-Led Sessions – Learn from experienced trainers and certified professionals who specialize in R programming, analytics, and data storytelling, making this Data Science with R programming course ideal for both beginners and working professionals.
  • Certification Assistance – Receive complete support to prepare and succeed in globally recognized Data Science certifications, adding credibility to your R programming training profile.
  • 100% Job Placement Support – Benefit from resume building, interview preparation, and job referrals to top companies, with strong focus on R programming placement opportunities in Data Science and Analytics.
  • Flexible Learning Options – Choose online or classroom-based Data Science with R programming training in Chennai, with weekday, weekend, and fast-track batches to match your schedule.
  • High-Demand Career Opportunities – Unlock roles like Data Analyst, R Programmer, or Business Intelligence Specialist with job-ready skills from our Data Science with R programming course.

Placement Support – Data Science with R Programming at Immek Softech Academy

  • 100% Job Assistance – Get complete placement support to secure roles in Data Science, Analytics, and R programming through our job-oriented Data Science with R programming course in Chennai.
  • Professional Resume Building – Create a strong, data-driven resume that highlights your R programming training, statistical modeling, and visualization skills, making you stand out in analytics careers.
  • Interview Preparation – Prepare confidently with mock interviews, real-world case questions, and expert feedback tailored for Data Analyst, BI Analyst, and R Developer roles.
  • Industry Tie-Ups – Access exclusive job opportunities and placement referrals through our partnerships with leading IT, research, and analytics companies, boosting your R programming placement chances.
  • Certification Guidance – Get step-by-step mentoring to crack globally recognized Data Science certifications, with emphasis on R programming concepts and practical applications.
  • Career Mentorship – Receive personalized guidance to build your career path as a Data Scientist, Business Intelligence Specialist, or R programming professional in today’s competitive job market.

Register for this Course

    Course Duration 30 Hrs.

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    Flexible Batches For You

    05-March-2025
    Monday (Monday - Friday)

    Weekdays Regular

    08:00 AM (IST)

    (Class 1Hr - 1:30Hrs) / Per Session

    26-Feb-2025
    Wednesday (Monday - Friday)

    Weekdays Regular

    08:00 AM (IST)

    (Class 1Hr - 1:30Hrs) / Per Session

    01-Mar-2025
    Saturday (Saturday - Sunday)

    Weekend Regular

    11:00 AM (IST)

    (Class 1Hr - 1:30Hrs) / Per Session

    Course Fee:

    ₹40,000

    ₹ 32,000

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    • Enhances resume & showcases expertise to recruiters.

    Frequently Asked Questions (FAQ)

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

    Anyone with a background in science, commerce, engineering, statistics, mathematics, or IT can join. No prior programming or data science experience is required. This Data Science with R programming course is designed for beginners and working professionals.
    R is widely used in analytics, research, and academia. Learning R programming helps you gain strong skills in data analysis, visualization, statistical modeling, and machine learning. Industries like finance, healthcare, marketing, and technology actively seek professionals trained in Data Science with R programming.
    Yes! We provide both online and offline R programming training. Learners can choose flexible learning options for the Data Science with R programming course based on convenience and location.
    Absolutely. You’ll work on real-world projects, case studies, and domain-specific datasets using R. The training includes hands-on assignments in finance, healthcare, and retail analytics, ensuring you gain practical skills in R programming.
    • Yes, the curriculum is aligned with industry-recognized Data Science certifications. We also provide guidance and preparation support for exams to help students achieve certifications and career growth.
    Yes. We provide complete R programming placement support, including resume preparation, interview guidance, and access to job opportunities through our hiring partners. Our placement team ensures you are job-ready after completing the Data Science with R programming course.
    Entry-level data analysts or data scientists trained in R programming can expect salaries ranging from ₹4 LPA to ₹6 LPA. With experience and certifications, professionals can earn ₹8 LPA to ₹15+ LPA, depending on role, company, and domain.

    Career Assistance

    Trainer guiding student during R programming training in Chennai

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

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