Transform raw data into powerful, insight-driven visualizations and deploy robust Machine Learning models. Learn from industry experts and master R libraries for data science, statistical analysis, and interactive dashboards in this intensive 20-hour Master Program.
Learn R for data visualization, statistics, predictive modeling, dashboards, and real-world analytics projects tailored for business decision-making.
Build a job-ready data analytics profile with R. Our R programming course focuses on data visualization, statistics, and machine learning using industry-standard tools like ggplot2, dplyr, and tidyr. Work on real-world projects, sharpen your business analytics skills, and get career guidance and placement support for data analyst and data scientist roles.
4.8/5
Average learner rating for our R programming and data visualization course.
500+
Number of learners who have completed our R data visualization and machine learning training.
14+ Years
Years of industry and teaching experience behind our R, statistics, and data analytics curriculum.
101,000+
Job-oriented R data analytics program with placement assistance and career guidance.
4 LPA
Typical salary outcomes for data analytics and R programming roles after course completion.
R Programming Course in India, R Data Visualization Training, R for Data Science & Analytics, Machine Learning with R, Data Analyst Course with R, Placement Assistance, Online & Classroom Batches.
Companies in banking, healthcare, e-commerce, marketing, and technology rely on R for statistics, forecasting, and visualization. Our R data visualization & machine learning course is built to help you move from basic spreadsheets to advanced analytics dashboards, predictive models, and data-driven decision making.
Keywords: R programming course • R data visualization training • R for data science • machine learning with R • data analyst course with R • ggplot2 and dplyr • RStudio projects • analytics training with placement assistance • job-oriented R course in India • beginner to advanced R programming.
Invest in your future with a program designed by industry leaders to ensure you are job-ready.
This R programming course for data visualization and analytics helps you master R, ggplot2, dplyr, tidyverse, and advanced data storytelling. Whether you are a student, data analyst, business analyst, or aspiring data scientist, you'll learn how to convert complex datasets into clear, interactive charts, dashboards, and business-ready reports using R.
Keywords: R programming course, data visualization in R, R for data science, ggplot2 training, tidyverse analytics, R programming classes in Mumbai, job-oriented R course, business analytics with R, statistics with R, R course for beginners and professionals.
Our curriculum is structured with 80% practical application and 20% theory for industry-rich experience.
Gain hands-on experience with real-world projects and case studies across diverse domains.
Learn from seasoned data analysts and industry veterans with 14+ years of expertise.
Receive an internationally recognized certificate from CDPL with a unique authorization QR code.
Comprehensive career support including resume building, interview preparation, and placement drives.
Personalized 1:1 doubt-solving sessions ensure every concept is clearly understood.
Our R data visualization and analytics program is crafted to help you become a job-ready data professional. You'll learn how to clean, analyze, and visualize data using R, ggplot2, dplyr, tidyverse, and other industry-standard libraries. From exploratory data analysis to building insightful dashboards and BI-style reports, you'll gain practical skills that employers look for in data analyst, business analyst, and data science roles. The curriculum is aligned with real-world business use cases so you can confidently work on marketing, finance, operations, and product datasets.
Industry-Focused R Curriculum
Covers core topics like data wrangling, statistical analysis, ggplot2 dashboards, and report automation using R for real business scenarios.
High-Demand, Global R Skills
R programming and visualization skills are in demand across data science, analytics, research, and consulting roles in India and abroad, giving you a strong competitive edge in the job market.
Ideal for: students, freshers, working professionals, and non-programmers who want to upskill in R, data visualization, and analytics to transition into high-growth data careers.
Master the R Process Model: Foundations of R Programming, Data Preprocessing, Algorithm Implementation, Model Evaluation and Tuning, and Deployment and Practical Applications. This curriculum is designed to make you a proficient R Data Scientist.
This Data Visualization in R Programming course is carefully structured to help you master R for data analysis, statistical modeling, and business-ready dashboards. You’ll learn how to work with real-world datasets, build publication-ready charts, graphs, and reports in R, and apply R data science techniques for analytics, BI, and decision-making.
Ideal for data analysts, aspiring data scientists, business analysts, and working professionals who want to upskill with R programming, data visualization, and analytics tools used in modern data science and BI projects.
By the end of this Data Visualization in R Programming masterclass, you will be able to confidently analyze data, build R visualizations, dashboards, and reports, and apply R for real-world data science projects in analytics, business intelligence, and decision-making roles.
Use R programming to import, clean, transform, and analyze structured datasets for business and research use cases.
Apply statistical techniques and create clear, insight-driven charts, graphs, and plots to communicate findings.
Design professional, presentation-ready visualizations and dashboards in R that recruiters and stakeholders love.
Perfect for learners searching for a “Data Visualization in R course”, “R programming for data analysis”, or “R data science training with projects”, this curriculum is crafted to be both job-ready and industry-aligned.
Apply your R programming, data visualization, and machine learning skills to solve real-world analytics and business intelligence problems across diverse industries. Work on end-to-end data science projects in R, predictive modeling, and dashboard development using industry datasets.
Build a machine learning model to predict patient outcomes (e.g., recovery rates) based on clinical data. The goal is to improve treatment plans and resource allocation using R and the Caret package. In this hands-on R project, you will go from data cleaning and preprocessing to exploratory data analysis (EDA), advanced visualization in R (ggplot2, plotly), and machine learning model building for real-world decision making.
Skills & Tools Applied:
Using unsupervised learning techniques (e.g., K-Means), segment customers based on their purchase behavior, frequency, and basket size. This project helps in targeting personalized marketing campaigns and optimizing inventory. In this hands-on R project, you will go from data cleaning and preprocessing to exploratory data analysis (EDA), advanced visualization in R (ggplot2, plotly), and machine learning model building for real-world decision making.
Skills & Tools Applied:
Our R programming and data visualization projects cover multiple business domains so you can confidently work with real-world datasets, understand domain-specific KPIs, and build insightful dashboards and predictive models. This prepares you for roles in Data Analyst, Business Analyst, BI Developer, and ML Engineer across industries.
Aviation
Healthcare
Telecommunication
BFSI
Social Media
Automobile
Sales & Marketing
Human Resources
Supply Chain Management
Create real-world R projects, dashboards, and case studies that you can showcase on LinkedIn, GitHub, and in data analyst interviews.
Work with realistic datasets from healthcare, BFSI, e-commerce, and more to solve business problems using R, statistics, and machine learning.
Apply concepts like EDA, feature engineering, model evaluation, and storytelling dashboards to become job-ready in data analytics and BI roles.
Become job-ready in R programming, data visualization, business analytics and data science by mastering industry-standard tools, IDEs, and libraries used by top Data Analysts, Data Scientists and BI professionals across the world.
Core Language
The primary language for statistical computing, data analysis, and graphics.
IDE
The powerful Integrated Development Environment (IDE) designed specifically for R.
Visualization
A powerful R package for creating elegant, layered, and informative data visualizations.
Machine Learning
A comprehensive package that streamlines the process of creating predictive models.
Database
Relational database management system for data storage, retrieval, and integration with R.
Algorithms
Built-in R functions for implementing core Machine Learning models: Linear and Logistic Regression.
This R data visualization course equips you with a complete analytics stack—from RStudio and tidyverse to ggplot2, Shiny dashboards and interactive business intelligence reporting.
Learn R syntax, data types, control structures and best practices for data science and analytics.
Master data wrangling, preprocessing, and feature engineering using tidyverse, dplyr and powerful R packages.
Build publication-ready charts, dashboards and reports with ggplot2, Shiny and interactive data visualization in R.
Apply statistical analysis, forecasting and machine learning in R to solve real-world business and BI problems.
By the end of this program, you'll be able to analyze data in R, build insightful dashboards, create compelling visual stories, and present data-driven business recommendations with confidence.
A clear, structured path from enrollment to becoming a certified, job-ready Machine Learning Engineer.
This career roadmap in Data Visualization with R walks you step-by-step from beginner in R programming and statistics to job-ready data analyst, data scientist, or ML engineer. You’ll see exactly how this R data science course helps you land high-growth roles in analytics, BI, and AI-powered careers.
Step 1
Start your journey by requesting the detailed syllabus and a free consultation with our career advisors.
Focus in this stage
Build strong skills in R, data visualization & ML fundamentals
Step 2
Secure your spot in the Master Program and gain access to all learning resources and the community.
Focus in this stage
Build strong skills in R, data visualization & ML fundamentals
Step 3
Deep dive into R, RStudio, ggplot2, and core ML algorithms through live, interactive sessions.
Focus in this stage
Build strong skills in R, data visualization & ML fundamentals
Step 4
Apply your knowledge to real-time, industry-relevant projects to solidify your skills and build your portfolio.
Focus in this stage
Build strong skills in R, data visualization & ML fundamentals
Step 5
Undergo resume building, profile optimization, and intensive interview preparation with industry experts.
Focus in this stage
Build strong skills in R, data visualization & ML fundamentals
Step 6
Launch your career with 100% job assistance, securing your dream role in the high-growth field of Data Science.
Focus in this stage
Build strong skills in R, data visualization & ML fundamentals
Step 1
Start your journey by requesting the detailed syllabus and a free consultation with our career advisors.
Key Focus
R programming, data visualization, ML basics
Career Outcome
Strong portfolio & job-ready analytics skills
Step 2
Secure your spot in the Master Program and gain access to all learning resources and the community.
Key Focus
R programming, data visualization, ML basics
Career Outcome
Strong portfolio & job-ready analytics skills
Step 3
Deep dive into R, RStudio, ggplot2, and core ML algorithms through live, interactive sessions.
Key Focus
R programming, data visualization, ML basics
Career Outcome
Strong portfolio & job-ready analytics skills
Step 4
Apply your knowledge to real-time, industry-relevant projects to solidify your skills and build your portfolio.
Key Focus
R programming, data visualization, ML basics
Career Outcome
Strong portfolio & job-ready analytics skills
Step 5
Undergo resume building, profile optimization, and intensive interview preparation with industry experts.
Key Focus
R programming, data visualization, ML basics
Career Outcome
Strong portfolio & job-ready analytics skills
Step 6
Launch your career with 100% job assistance, securing your dream role in the high-growth field of Data Science.
Key Focus
R programming, data visualization, ML basics
Career Outcome
Strong portfolio & job-ready analytics skills
Step 1
What happens in this stage:
Start your journey by requesting the detailed syllabus and a free consultation with our career advisors.
Skills you strengthen:
Career impact:
Every step moves you closer to high-demand roles like Data Analyst, ML Engineer, and Data Scientist in modern, analytics-driven companies.
Step 2
What happens in this stage:
Secure your spot in the Master Program and gain access to all learning resources and the community.
Skills you strengthen:
Career impact:
Every step moves you closer to high-demand roles like Data Analyst, ML Engineer, and Data Scientist in modern, analytics-driven companies.
Step 3
What happens in this stage:
Deep dive into R, RStudio, ggplot2, and core ML algorithms through live, interactive sessions.
Skills you strengthen:
Career impact:
Every step moves you closer to high-demand roles like Data Analyst, ML Engineer, and Data Scientist in modern, analytics-driven companies.
Step 4
What happens in this stage:
Apply your knowledge to real-time, industry-relevant projects to solidify your skills and build your portfolio.
Skills you strengthen:
Career impact:
Every step moves you closer to high-demand roles like Data Analyst, ML Engineer, and Data Scientist in modern, analytics-driven companies.
Step 5
What happens in this stage:
Undergo resume building, profile optimization, and intensive interview preparation with industry experts.
Skills you strengthen:
Career impact:
Every step moves you closer to high-demand roles like Data Analyst, ML Engineer, and Data Scientist in modern, analytics-driven companies.
Step 6
What happens in this stage:
Launch your career with 100% job assistance, securing your dream role in the high-growth field of Data Science.
Skills you strengthen:
Career impact:
Every step moves you closer to high-demand roles like Data Analyst, ML Engineer, and Data Scientist in modern, analytics-driven companies.
Stay updated with the latest R packages, visualization libraries, and machine learning techniques used in real projects.
Build an impressive portfolio with end-to-end dashboards, EDA, and ML models using real business datasets.
Engage with trainers, peers, and industry experts to access hidden job opportunities in analytics and data science.
Develop expertise in domains like finance, healthcare, marketing, or operations using R-based analytics.
Learn to present insights, tell compelling data stories, and influence business decisions with your visualizations.
Use your course certificate, GitHub projects, and dashboards to showcase your skills to recruiters and hiring managers.
This Data Visualization in R Programming career roadmap is ideal if you’re searching for “R data analyst jobs”, “data science career path with R”, or “ML engineer roadmap for beginners”. Follow each step, complete the projects, and you'll be ready for high-paying, future-proof data careers.
Unlock high-demand data science, analytics, and machine learning careers with industry-focused R programming, statistics, and data visualization skills. Prepare for job-ready roles such as Data Analyst, Business Analyst, and ML Engineer in top companies across India and abroad.
Deploy scalable machine learning pipelines, optimize models, and work closely with data science teams to productionize R and Python solutions. This role is ideal for professionals who want to build a career in data analytics, data science, and R programming with hands-on experience in real-world datasets, dashboards, and ML models.
Typical Salary Range (India)*
8–16 LPA*
Build machine learning models, predictive analytics solutions, and advanced statistical models using R, Python, and modern data science tools. This role is ideal for professionals who want to build a career in data analytics, data science, and R programming with hands-on experience in real-world datasets, dashboards, and ML models.
Typical Salary Range (India)*
8–18 LPA*
Translate complex data into actionable business insights, KPIs, and dashboards for leadership teams using R and BI tools. This role is ideal for professionals who want to build a career in data analytics, data science, and R programming with hands-on experience in real-world datasets, dashboards, and ML models.
Typical Salary Range (India)*
6–12 LPA*
Clean, visualize, and analyze large datasets using R, SQL, and Excel to uncover trends and drive strategic business decisions. This role is ideal for professionals who want to build a career in data analytics, data science, and R programming with hands-on experience in real-world datasets, dashboards, and ML models.
Typical Salary Range (India)*
5–10 LPA*
Use quantitative methods, R-based statistical analysis, and experimentation to generate research-driven insights for products or markets. This role is ideal for professionals who want to build a career in data analytics, data science, and R programming with hands-on experience in real-world datasets, dashboards, and ML models.
Typical Salary Range (India)*
4–9 LPA*
Leverage R programming, data visualization, and analytics to solve real business problems and support data-driven decision-making. This role is ideal for professionals who want to build a career in data analytics, data science, and R programming with hands-on experience in real-world datasets, dashboards, and ML models.
Typical Salary Range (India)*
4–10 LPA+
Leverage R programming, data visualization, and analytics to solve real business problems and support data-driven decision-making. This role is ideal for professionals who want to build a career in data analytics, data science, and R programming with hands-on experience in real-world datasets, dashboards, and ML models.
Typical Salary Range (India)*
4–10 LPA+
Leverage R programming, data visualization, and analytics to solve real business problems and support data-driven decision-making. This role is ideal for professionals who want to build a career in data analytics, data science, and R programming with hands-on experience in real-world datasets, dashboards, and ML models.
Typical Salary Range (India)*
4–10 LPA+
Leverage R programming, data visualization, and analytics to solve real business problems and support data-driven decision-making. This role is ideal for professionals who want to build a career in data analytics, data science, and R programming with hands-on experience in real-world datasets, dashboards, and ML models.
Typical Salary Range (India)*
4–10 LPA+
Leverage R programming, data visualization, and analytics to solve real business problems and support data-driven decision-making. This role is ideal for professionals who want to build a career in data analytics, data science, and R programming with hands-on experience in real-world datasets, dashboards, and ML models.
Typical Salary Range (India)*
4–10 LPA+
Use quantitative methods, R-based statistical analysis, and experimentation to generate research-driven insights for products or markets. This role is ideal for professionals who want to build a career in data analytics, data science, and R programming with hands-on experience in real-world datasets, dashboards, and ML models.
Typical Salary Range (India)*
4–9 LPA*
Data Science, Machine Learning, and Analytics roles using R and Python are among the fastest-growing tech careers, with strong salary hikes within 2–3 years of experience.
Move into specialized profiles like Data Scientist, ML Engineer, Business Intelligence Analyst, or Analytics Consultant in domains such as BFSI, Healthcare, Retail, and more.
Work with global product companies, startups, consulting firms, and analytics service providers offering hybrid and remote roles in R-based analytics and data science.
Craft a Winning Portfolio: Showcase your R projects and analytical skills.
Polish Your Resume: Expert-led updates with the latest in-demand skills.
LinkedIn Profile Optimization: Boost your professional visibility and network.
Expand Your Reach: Profile updates on top job portals (Naukri, Indeed, Foundit).
Interview Preparatory Sessions: Intensive training right from Day 1.
Ace Your Interviews: SWOT Analysis and personalized feedback from industry experts.
Our dedicated career services and R data science placement team work closely with you from resume building, profile optimization, mock interviews, to final HR and technical rounds. You are guided to crack Data Analyst, Data Scientist, and ML roles in top organizations.
*Salary ranges are indicative and vary based on skills, experience, location, and company.
Top Companies Hiring Machine Learning Engineers (Logos/Names to be added) This R Data Science & Machine Learning program prepares you for interviews at leading IT services, product companies, consulting firms, fintechs, and analytics startups.
TCS
Active Hiring for Data Roles
Infosys
Active Hiring for Data Roles
Accenture
Active Hiring for Data Roles
Deloitte
Active Hiring for Data Roles
KPMG
Active Hiring for Data Roles
EY
Active Hiring for Data Roles
Cognizant
Active Hiring for Data Roles
Capgemini
Active Hiring for Data Roles
This program is tailored for individuals ready to specialize in Machine Learning and Data Visualization using R. Ideal for students, fresh graduates, working professionals, and career switchers who want to build job-ready skills in R programming, data analytics, business intelligence (BI), and data science.
Learners with basic R or programming skills looking to specialize in ML.
What You Need:
Intermediate users seeking to formalize their knowledge in R-based machine learning.
What You Need:
Students, researchers, and analysts aiming to master ML with R for academic or professional projects.
What You Need:
Professionals transitioning to high-demand data science or statistical roles.
What You Need:
With these fundamentals in place, you'll be fully prepared to learn R for data science, build interactive dashboards, and create insightful data visualizations that drive business decisions.
Dedicate regular time to coding in R, working with datasets, and building visualizations and dashboards.
Engage in live sessions, ask questions, participate in discussions, and clarify every R and data concept.
Complete all capstone and case-study projects to build a strong data analytics and visualization portfolio in R.
Stay updated with the latest trends in data science, BI, and machine learning, and keep refining your R skills.
Upon completion, you will be proficient in using R to design, train, and deploy predictive machine learning models that tackle real-world challenges. Your expertise will drive impactful, data-driven decision-making across diverse domains.
Our students are achieving their career goals in Data Science and Machine Learning.
EXCELLENT•Based on 289 reviews2025-06-27 • Google
VerifiedI had the opportunity to intern at Cinute, and it has been a great learning experience... I worked on data analysis in Excel, created dashboards, and explored Power BI & Tableau. The quality of teaching is so good...
2025-06-27 • Google
Verified—
2025-06-27 • Google
Verified—
2025-06-27 • Google
VerifiedThe subjects taught are relevant and help prepare students for real-world challenges.
2025-06-27 • Google
VerifiedThe subjects taught are relevant and help prepare students for real-world challenges.
2025-06-27 • Google
VerifiedIt's a good opportunity to do course and learn coding languages... good mentors.
2025-06-27 • Google
VerifiedHelped me to learn and gain a lot of knowledge and skills growth throughout, humble and good communicating staff and members.
2025-06-27 • Google
VerifiedGood information provided by the domain providers, very good at communicating and humble...
2025-06-27 • Google
Verified—
2025-06-27 • Google
VerifiedIt is best company to get experience... I’m learning full-stack with highly talented staff...
2025-06-27 • Google
VerifiedI had the opportunity to intern at Cinute, and it has been a great learning experience... I worked on data analysis in Excel, created dashboards, and explored Power BI & Tableau. The quality of teaching is so good...
2025-06-27 • Google
Verified—
2025-06-27 • Google
Verified—
2025-06-27 • Google
VerifiedThe subjects taught are relevant and help prepare students for real-world challenges.
2025-06-27 • Google
VerifiedThe subjects taught are relevant and help prepare students for real-world challenges.
2025-06-27 • Google
VerifiedIt's a good opportunity to do course and learn coding languages... good mentors.
2025-06-27 • Google
VerifiedHelped me to learn and gain a lot of knowledge and skills growth throughout, humble and good communicating staff and members.
2025-06-27 • Google
VerifiedGood information provided by the domain providers, very good at communicating and humble...
2025-06-27 • Google
Verified—
2025-06-27 • Google
VerifiedIt is best company to get experience... I’m learning full-stack with highly talented staff...
Find clear answers about our Data Visualization in R Programming Master Program, including syllabus, fees, certification, live online training, hands-on projects, and career opportunities in data analytics and data science.
Our academic counsellors will help you choose the right R Programming course path – whether you're aiming for a career in data analytics, business intelligence, or data science using R. Get details on batches, pricing, live online classes, and placement support.
Popular searches: R programming course with placement, data visualization in R training, R for data analysis certification, best R programming course for beginners.
Enroll now in our intensive 20-hour R Programming for Machine Learning Master Program and accelerate your data science career. Learn R for data analysis, predictive modeling, and AI-powered machine learning projects with hands-on training designed for students, working professionals, and career switchers aiming for high-demand roles like Data Analyst, Machine Learning Engineer, and Data Scientist.
20-Hour Master Program
Compact, high-impact R and machine learning training with live sessions.
Hands-On ML Projects
Build real-world predictive models in R using industry datasets.
Career-Focused Syllabus
Job-ready skills for data science, analytics, and AI-powered roles.
🎉 Limited Time Offer
Get 20% OFF on our R for Machine Learning Master Program this month!
Plus, unlock free career coaching, resume-building support, and mock interview preparation tailored for data science and analytics roles.
Have questions about the R for Machine Learning Master Program? Get in touch with our counsellors for free career guidance.
