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Data Science with R Programming

Explore the fundamentals and advanced concepts of data science with R programming. Topics include data manipulation, visualization, statistical modeling, machine learning, and real-world applications.

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12 Weeks



May 01, 2024





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Program Overview

Unlock the power of data with our Data Science with R Programming course. Dive into data manipulation, visualization, statistical analysis, and machine learning techniques using R to derive valuable insights and solutions.


Acquire valuable skills in data manipulation, statistical analysis etc.


Possess specialized skills in data science tools and languages


Advance to higher-level roles


Develop strong analytical and problem-solving skills



Open to programming, statistics backgrounds or without prior experience. Familiarity with statistics advantageous but not mandatory. Suitable for Business, Humanities, Sciences backgrounds.


Why should you learn?

This course covers advanced statistics, machine learning, data visualization, predictive modeling, text mining, and big data analytics for comprehensive data analysis solutions.


Possible Job Roles

Upon completion, pursue roles like Data Scientist, ML Engineer, Statistical Analyst, BI Developer, Research Scientist across diverse industries with Data Science with R Programming course.

Salary Range

4 to 28 Lakhs Per Annum


Course Modules

12 Weeks COURSE

6 hours

R Introduction

This module covers basics of R syntax, data types, functions, and visualization techniques for beginners in data science.
  • Overview of R Programming

  • Downloading and installing

  • Help of Function

  • Viewing documentation

  • General issues in R

  • Package Management

8 hours

Data Inputting in R

Learn techniques to efficiently import and manage diverse data formats for analysis using R programming.
  • Data Types

  • Subsetting

  • Writing data

  • Reading from csv files

  • Creating a vector and vector operation

  • Initializing data frame

  • Control structure

  • Redirecting R Output

4 hours

Data Visualization

Utilize R programming to create insightful visual representations of data for effective analysis and communication. Includes ggplot2, plotly, and interactive visualization techniques.
  • Creating bar chart and dot plot

  • Creating histogram and box plot

  • Plotting with base graphics

  • Plotting and coloring in R

4 hours

Basic Statistic

This module covers foundational concepts such as descriptive statistics, probability distributions, hypothesis testing, and regression analysis for data analysis and interpretation.
  • Computing Basic Statistics

  • Comparing means of two samples1

  • Testing a proportion

  • Data Munging Basics

3 hours

Functions and Programming in R

This module covers foundational concepts, data structures, control structures, and functions in R for data manipulation and analysis.
  • Flow control: For loop

  • If condition

  • Debugging tools

5 hours

Data manipulation in R

Learn to efficiently clean, transform, and organize data using R programming, essential for exploratory analysis and model building.
  • List Management

  • Data Transformation

  • Merging Data Frames

  • Outlier Detection

  • Combining multiple vectors

4 hours

R an Database

Utilize R for database interactions, querying, and data manipulation. Learn to integrate R with SQL databases for efficient data analysis workflows.
  • Performing queries

  • RODBC and DBI Package

  • Advanced Data handling

  • Combined and restructuring data frame

2 hours

Statistical Modelling in R

Learn foundational statistical techniques, regression analysis, hypothesis testing, and model interpretation using the R programming language.
  • Logical Regression

  • Hierarchical Clustering PCA for Dimensionality Reduction

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Certificate of Completion

This certificate acknowledges the student for successfully completing the program in Data Science with R Programming.


Program Cohorts

May 2024 Batch



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Admission Process at Cokonet

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Financing & Support


0% Interest Loans

Access 0% interest loans (6/9/12 Months EMI) for your education, ensuring affordability while you pursue your dreams.


Pay in Installments

Ease your financial burden with our convenient installment payment options.



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Seamless assistance with our comprehensive laptop support services.

Data Science with R Programming: Frequently Asked Questions (FAQs)

Explore our Data Science with R Programming FAQs for answers to common queries. Learn about course content, prerequisites, career prospects, and more, to make an informed decision about your data science journey.

While familiarity with programming concepts is beneficial, there are no strict prerequisites. This course is designed to accommodate learners with diverse backgrounds, including those from fields such as Business, Humanities, and Sciences.