Why Choose This Course?

Develop strong foundational and applied skills in R programming, with a focus on data analysis and visualization techniques. Benefit from expert instruction and project-based learning, culminating in a globally accredited certificate from SRM University. Enjoy the flexibility of online education while preparing for data-centric roles in research and industry.

Admission Process Step-by-Step

Admission Process
Admission Process

About the Course

This certificate program equips learners with essential skills to manipulate, analyze, and visualize data using R one of the most powerful tools for statistical computing. You'll explore:

Data wrangling using dplyr and tidyr

 Data wrangling
 Data wrangling

Machine learning techniques like Decision Trees, Random Forest, SVM

Data visualization with ggplot2

 Data wrangling
 Data wrangling

Advanced analytics: Clustering, Regression, and more

Who Can Study?

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  • Students from Computer Science, Statistics, Business, etc.(Basic math/statistics knowledge recommended)

  • Professionals such as data analysts, business analysts, and IT experts

  • Career switchers into data science and analytics

  • Researchers & Academics looking to integrate R in research or teaching

Course Content Overview

Introduction to
R and RStudio

Data types, import/export,
and data cleaning

Classification and regression
techniques

Clustering:K-Means, Hierarchical methods

Data visualization using ggplot2

Real-world mini projects and case applications

Assessment Method

Weekly Graded Assessments (Total: 100 Marks)

  • 10 Weeks × 10 Marks = 100 Marks Includes:

  • Objective-type questions

  • Quizzes

  • Mini project / Webinar presentation

  • Participation in learning portal activities

Eligibility Criteria

10th or +12th from any recognized board (including NIOS) (Or) Any undergraduate degree with a minimum of 50% marks

Eligibility Criteria

What You’ll Learn

  • Basics of R programming and data manipulation

  • Statistical modeling and predictive analytics

  • Data visualization techniques using R

Program Highlights

Interactive sessions with industry experts

Hands-on assignments for practical exposure

Certification for validating your data analytics skills