Attribute

Detail

Format

Online (e-LMS)

Level

Intermediate

Duration

1 Month

Certification

e-Certification + e-Marksheet

Tools

R, RStudio, ggplot2, dplyr, tidyverse, Shiny

About the R Programming Course

The beginner's R programming course is designed for those new to R and aims to provide a solid foundation in R programming and data analysis. Participants will learn the basics of the language and data analysis techniques, and gain hands-on experience working with real-world data sets. The workshop will provide participants with the skills and knowledge they need to continue learning R programming on their own.

The advanced R programming workshop is designed for those who already have some experience with R and aims to build on the concepts learned in the beginner's workshop. Participants will learn advanced data manipulation and visualization techniques, advanced statistical analyses, handling large datasets, and reproducible data analysis workflows. The workshop will provide participants with the skills and knowledge they need to perform more complex data analysis tasks and apply R in specific domains such as bioinformatics, text mining, and machine learning.

Program Highlights

• Comprehensive coverage of R Programming from fundamentals to advanced applications

• Hands-on projects and real-world case studies in R Programming

• Expert-curated curriculum aligned with current industry standards

• Access to recorded lectures and e-LMS platform for flexible, self-paced learning

• e-Certification and e-Marksheet upon successful completion

• Dedicated mentor support and interactive doubt-clearing sessions

• Exposure to industry-standard tools and platforms used in R Programming

• Career-oriented training for academic and professional growth in R Programming

Course Curriculum

Module 1: Introduction to R Programming

Overview and historical evolution of R Programming
Key terminology, definitions, and core concepts in R Programming
Current industry landscape, trends, and career opportunities
Setting up the learning environment and essential tools

Module 2: Fundamentals and Theoretical Foundations

Core principles and scientific/theoretical underpinnings of R Programming
Mathematical and analytical frameworks relevant to R Programming
Comparative analysis of major approaches and methodologies
Understanding key standards, guidelines, and best practices

Module 3: Basic to Advanced Course

Core concepts and techniques in Basic to Advanced Course
Practical implementation and hands-on exercises
Integration of Basic to Advanced Course with R Programming workflows
Case study: Real-world application of Basic to Advanced Course

Module 4: Data Wrangling

Introduction to Data Wrangling concepts and methodologies
Step-by-step practical implementation of Data Wrangling techniques
Tools and platforms commonly used for Data Wrangling
Troubleshooting, optimization, and best practices

Module 5: Statistical Modeling

Introduction to Statistical Modeling concepts and methodologies
Step-by-step practical implementation of Statistical Modeling techniques
Tools and platforms commonly used for Statistical Modeling
Troubleshooting, optimization, and best practices

Module 6: Advanced Topics and Emerging Trends in R Programming

Cutting-edge research and innovations in R Programming
Integration with AI, automation, and modern technologies
Industry case studies and real-world problem solving
Future directions and career pathways in R Programming

Module 7: Capstone Project and Assessment

End-to-end project implementation using R Programming skills
Peer review, collaborative exercises, and expert feedback
Portfolio-ready project documentation and presentation
Final assessment and course completion evaluation

Tools, Techniques, or Platforms Covered

R
RStudio
ggplot2
dplyr
tidyverse
Shiny
caret
knitr

Real-World Applications

Apply R Programming skills directly to academic research, thesis work, and publications
Build a professional portfolio showcasing practical R Programming competencies
Solve industry-relevant problems using R Programming methodologies and tools
Contribute to open-source projects and collaborative research in R Programming
Prepare for competitive examinations, interviews, and professional certifications in R Programming

Who Should Attend & Prerequisites

Students pursuing degrees in R Programming, science, engineering, or related disciplines
Working professionals seeking to upskill or transition into R Programming roles
Researchers and academicians looking to adopt modern techniques in R Programming
Entrepreneurs, freelancers, and self-learners interested in practical R Programming knowledge

Prerequisites: Some familiarity with basic concepts in R Programming will be helpful but is not mandatory. A willingness to learn and engage with hands-on exercises is essential.

Frequently Asked Questions

1. What is the format of this R Programming: Basic to Advanced Course course?

This is an Online (e-LMS) course delivered via our e-LMS platform. You will have access to pre-recorded video lectures, reading materials, assignments, quizzes, and hands-on projects that you can complete at your own pace.

2. Will I receive a certificate after completing this course?

Yes! Upon successful completion of all modules, assignments, and assessments, you will receive an e-Certification along with an e-Marksheet from NanoSchool (NSTC) that you can showcase on your CV and LinkedIn profile.

3. What are the prerequisites for this course?

Learners should have a foundational understanding of R Programming concepts. Familiarity with basic tools and programming is recommended.

4. How long will I have access to the course materials?

You will have access to all course materials for the duration of 1 Month. The self-paced format allows you to learn according to your own schedule through our online learning management system.

5. Is mentor support available during the course?

Yes, dedicated mentor support is available throughout the course. You can reach out for doubt-clearing sessions, project guidance, and career advice related to R Programming. Our mentors are industry experts and experienced professionals.

Enroll in R Programming: Basic to Advanced Course today and take the next step in your professional journey. With expert-curated content, practical projects, and industry-recognized certification, this course is your gateway to mastering R Programming skills that matter.

Brand	NSTC
Format	Online (e-LMS)
Duration	1 Month
Level	Intermediate
Domain
Hands-On	Yes – Practical projects with industrial datasets
Tools Used

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