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Data Science With R Programming Training Course

Best Data Science With R Programming Training Course

Immek Softech Academy offers the best Data Science course in Chennai, focused on Data Science with R Programming for statistical computing, data visualization, and machine learning. This course is ideal for aspiring analysts and data professionals aiming to build a strong foundation in R. With hands-on projects, real-time datasets, and expert guidance, our Data Science training in Chennai ensures you gain job-ready skills and practical experience to excel in the data-driven world.

Train with experts and elevate your career in analytics with confidence!

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Data Science with R Programming Training Course

Immek Softech Academy offers expert-led Data Science with R Programming Training, designed to help learners master statistical analysis, data visualization, and machine learning using R. This job-oriented Data Science course in Chennai covers core concepts such as regression models, clustering, time-series forecasting, and data wrangling. Through hands-on practice, real-time projects, and business case studies, students gain the skills required to become successful Data Scientists. Perfect for those seeking practical Data Science training in Chennai with a strong foundation in R programming.

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 the Data Science course in Chennai.
  • Technical Skills – Familiarity with spreadsheets, logical reasoning, or any programming basics will enhance your Data Science training in Chennai experience using R
  • Work Experience (Optional) – Professionals from analytics, IT, finance, or research backgrounds will benefit the most from this Data Science with R Programming Training Course.
  • Analytical Mindset – Ability to work with data, interpret results, and solve real-world problems is key to succeeding in this Data Science course with R.

Objectives of ERP FICO Training – ERP S/4HANA Certification Course

  • Master Data Analysis & Statistical Programming – Learn data manipulation, visualization, and statistical modeling using R in our expert-led Data Science course in Chennai.
  • Enhance Real-Time Decision-Making –Use R tools for accurate data insights and predictive analytics to support data-driven business strategies.
  • Gain Hands-on Experience –Work on real-time Data Science training in Chennai projects, case studies, and data-driven scenarios using R programming.
  • Automate & Optimize Data Workflows –Streamline data preparation, analysis, and reporting through R automation and libraries.
  • Prepare for Data Science Certification – Build the skills needed to clear global Data Science certifications with focused R programming training.
  • Unlock Career Growth –Become a Data Analyst, Data Scientist, or Business Intelligence Professional with our job-oriented Data Science with R Programming Training Course.

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

1.Introduction to Data Science with R
  • Overview of R for Data Science
  • Importance of R in statistical computing and data analysis
  • Industry applications of Data Science using R
2.Setting Up the R Environment
  • Installing R and RStudio
  • Introduction to R packages (tidyverse, caret, etc.)
  • R coding basics and project workflow
3.Data Structures in R
  • Vectors, matrices, data frames, lists
  • Data manipulation and subsetting
  • Handling large datasets
4.Data Manipulation in R
  • Data cleaning using dplyr and tidyr
  • Transformation techniques in R
  • Working with dates and times in R
5.Data Visualization with R
  • Introduction to ggplot2 for plotting
  • Customizing plots and graphics
  • Building interactive visualizations with plotly
6.Exploratory Data Analysis (EDA)
  • Descriptive statistics: mean, median, mode, variance, and standard deviation
  • Data summarization with summary() and aggregate()
  • Correlation and relationship analysis
7.Statistical Inference in R
  • Hypothesis testing: t-test, chi-square test, ANOVA
  • Confidence intervals and p-values
  • Sampling techniques and randomization
8.Regression Analysis with R
  • Controlling area and integration with FI
  • Model evaluation: R-squared, RMSE, AIC
  • Residual analysis and diagnostics
9.Logistic Regression
  • Introduction to logistic regression
  • Binary classification with logistic regression
  • Model evaluation with confusion matrix, ROC, and AUC
10.Advanced Regression Techniques
  • Ridge and Lasso regression
  • Stepwise regression for feature selection
  • Regularization techniques
11.Classification Algorithms
  • K-Nearest Neighbors (KNN)
  • Decision Trees and Random Forests
  • Naive Bayes and SVM for classification problems
12.Unsupervised Learning: Clustering
  • K-means clustering
  • Hierarchical clustering
  • DBSCAN and clustering evaluation metrics
13.Principal Component Analysis (PCA)
  • Dimensionality reduction and feature selection
  • PCA for visualization and interpretation
  • Eigenvectors and Eigenvalues
14.Time Series Analysis
  • Time series decomposition
  • ARIMA modeling for forecasting
  • Exponential Smoothing and Trend Analysis
15.Text Mining and Natural Language Processing (NLP)
  • Text preprocessing and tokenization
  • Sentiment analysis using tidytext
  • Word clouds and topic modeling
16.Association Rule Mining
  • Market Basket Analysis and Apriori algorithm
  • Association rules: Support, Confidence, Lift
  • Implementing association rules in R
17.Model Selection and Evaluation
  • Cross-validation and k-folds
  • Model tuning and hyperparameter optimization
  • Performance metrics: accuracy, precision, recall, F1-score
18.Advanced Machine Learning Algorithms
  • Support Vector Machines (SVM)
  • Gradient Boosting Machines (GBM)
  • XGBoost and Hyperparameter Tuning
19.Neural Networks & Deep Learning
  • Basics of Neural Networks
  • Introduction to deep learning models
  • Using keras and tensorflow in R for deep learning
20.Big Data Handling in R
  • Working with large datasets using data.table
  • Integration with big data platforms like Hadoop and Spark
  • Parallel computing and multi-threading in R
21.Data Science with R and SQL
  • Connecting R to databases with RMySQL and RSQLite
  • Writing SQL queries in R for data extraction
  • Handling large-scale data with R and SQL
22.Geospatial Data Analysis with R
  • Working with spatial data in R using sf package
  • Visualizing maps with ggplot2 and leaflet
  • Geo-spatial clustering and analysis
23.Deploying Models in R
  • Saving and loading machine learning models
  • Building APIs with Plumber and Shiny
  • Deploying models on the cloud (AWS, Azure)
24.Data Science Projects and Case Studies
  • End-to-end Data Science projects
  • Real-time business problem-solving using R
  • Case studies across various industries
25.Career Development & Certification Preparation
  • Resume building and portfolio creation
  • Mock interviews for Data Science roles
  • Preparing for Data Science certification exams (e.g., Microsoft, Data Science R)
View more

Tools Covered in Data Science with R Programming Training

1. Core Tools Covered in Data Science Training in Chennai
  • R Programming Language – Learn foundational and advanced R concepts to manipulate data, build models, and conduct statistical analysis efficiently
  • Tidyverse Ecosystem – Master essential R packages like dplyr, tidyr, and ggplot2 for data wrangling and visualizations in this Data Science course in Chennai.
  • Data Handling & Reporting –Work with data.frame, tibble, and R Markdown for structured data analysis and professional report generation.
2.Advanced R Tools – Data Science Course in Chennai
  • RStudio IDE –Streamline your coding experience and project workflow with RStudio, the industry-standard IDE for R programming.
  • Machine Learning with R –Build ML models using caret, randomForest, e1071, and xgboost for classification, regression, and clustering.
  • Shiny App Development – Develop interactive dashboards and data-driven web applications using shiny and shinydashboard packages.
3. Data Analytics & Automation Tools
  • Data Visualization – ggplot2 and plotly – Create compelling charts and interactive visualizations to present insights effectively
  • Automated Reporting – Use R Markdown and knitr to generate dynamic, automated analytical reports in PDF, HTML, or Word formats.
4. Data Science Integration & Customization
  • SQL with R –Integrate R with databases using packages like DBI, RMySQL, and RSQLite to run complex queries directly within R.
  • API & Web Scraping Tools –Fetch external data using httr, jsonlite, and rvest to enrich your datasets.

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 help in statistical computing and data modeling?
  • How does R compare with Python in terms of data analysis, visualization, and performance?
  • What are the key components of a typical data science lifecycle, from data collection to deployment?
R Programming & Core Data Handling
  • How do you import, clean, and transform datasets using tidyverse libraries like dplyr and tidyr?
  • Explain how ggplot2 is used to build data visualizations. How is it different from base R plotting?
  • What are factors in R? Why are they important for categorical data analysis?
Statistics & Machine Learning in R
  • How is hypothesis testing performed in R? Give an example using t.test() or chisq.test().
  • Explain supervised vs unsupervised learning with R functions and packages used for each.
  • How would you build and evaluate a logistic regression model using R?
Data Science Projects & Case Studies
  • Describe a real-world Data Science project using R that involved customer segmentation, prediction, or sentiment analysis?
  • How do you handle missing data, outliers, and data imbalances in R?
  • What metrics do you use to evaluate model performance (e.g., RMSE, R², confusion matrix)?

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

High success rate and industry-Recognized as a top institute for Data Science training in Chennai, we ensure students gain practical skills in data analytics, visualization, and predictive modeling using R.
Job-Oriented Curriculum Our training covers the full Data Science lifecycle, from statistics and data wrangling to machine learning and R-based dashboards – aligned with industry requirements.
Hands-on Experience Work on live Data Science projects, real-world case studies, and R programming assignments that reflect actual business problems and analytics challenges.
Expert Trainers– Learn from certified Data Scientists and industry professionals with deep experience in R, analytics, and data-driven decision-making.
Career & Certification Support -We offer 100% job support, resume building, and Data Science certification guidance. Our goal: to make you job-ready with personalized mentorship.
High-Demand Career Paths -Open doors to roles like Data Analyst, Business Intelligence Expert, or R Programmer, with skillsets that top companies actively seek.
Flexible Learning--Choose between online Data Science courses or classroom training in Chennai—designed to fit your schedule and learning preferences.

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

  • Industry-Focused Curriculum – Master Data Science using R through real-world business analytics, machine learning, and statistical modeling projects tailored to modern industry demands.
  • Hands-on Training – Get practical experience with live Data Science projects, R programming exercises, and case-based learning in data cleaning, visualization, and model building
  • Expert-Led Sessions –Learn from certified Data Scientists with deep expertise in R programming, analytics, and data storytelling – ideal for both beginners and professionals.
  • Certification Assistance – We offer full support to help you crack internationally recognized Data Science certifications that boost your profile and career credibility.
  • 100% Job Placement Support –From resume writing and interview preparation to job referrals, we offer end-to-end support to help you land roles in Data Science and Analytics.
  • Flexible Learning Options – Pick from online or classroom Data Science training in Chennai, designed to suit your timing, pace, and learning preference.
  • High-Demand Career Opportunities – Step into top roles like Data Analyst, R Programmer, or Business Intelligence Specialist with skills that leading employers are actively hiring for.

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

  • 100% Job Assistance –Comprehensive support to help you secure roles in Data Science, Analytics, and R Programming through our job-focused training program in Chennai.
  • Professional Resume Building – Craft a compelling Data Science resume that showcases your R programming, statistical modeling, and data visualization skills tailored for analytics careers.
  • Interview Preparation –Excel in interviews with mock sessions, real-world case-based questions, and expert feedback designed for roles like Data Analyst and R Developer.
  • Industry Tie-Ups –Gain access to exclusive job openings and placement referrals through our collaborations with top IT, analytics, and enterprise firms.
  • ERP Certification Guidance – Receive step-by-step support to prepare for globally recognized Data Science certifications with a focus on R programming.
  • Career Mentorship –Get personalized career coaching to shape your path as a Data Scientist, BI Analyst, or R Programming Specialist in today’s data-driven world.

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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    Frequently Asked Questions (FAQ) – Data Science with R Programming

    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. The course is designed for beginners and professionals alike.
    R is one of the most widely used tools in analytics, research, and academia. Learning R helps you build strong foundations in data analysis, visualization, statistical modeling, and machine learning—highly valued in industries like finance, healthcare, marketing, and tech.
    Yes! We offer both online and offline classes for the Data Science with R course, giving you flexibility to learn from anywhere.
    Absolutely. You’ll work on real-time projects, case studies, and data sets, covering various domains such as finance, healthcare, and retail analytics using R tools and libraries.
    • Yes. Our curriculum aligns with industry-recognized Data Science certifications, and we provide exam guidance and preparation support to help you succeed.
    Yes. You’ll receive 100% placement assistance, including resume building, interview training, and access to job opportunities through our placement network.
    Entry-level data analysts or data scientists can expect starting salaries between ₹4–6 LPA, while experienced professionals can earn ₹8–15 LPA or more, depending on role, company, and domain.
    Career Assistance
    • - Build an Impressive Resume
    • - Get Tips from Trainer to Clear Interviews
    • - Attend Mock-Up Interviews with Experts
    • - Get Interviews & Get Hired