R Programming for Data Science

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About Course

Dive into the world of data science with our comprehensive R Programming course designed for both beginners and intermediate learners. This course equips you with the essential skills and knowledge to harness the power of R for data analysis, visualization, and statistical computing.

 

What will you learn?

 

  • Develop a strong foundation in R programming, covering basic syntax, data types, functions and control structures.
  • Learn how to write and execute R code efficiently.
  • Acquire skills in data manipulation using R and learn how to explore and analyse datasets using descriptive statistics and basic statistical tests.
  • Master the ggplot2 package for creating a wide variety of data visualizations.
  • Learn techniques for importing and exporting data in various formats, such as CSV and Excel.
  • Learn to work with vectors, matrices and Data frames.
  • Learn the basics of the dplyr package for efficient and intuitive data manipulation and understand how to filter, select, mutate, and summarize data using dplyr.
  • Apply R programming skills to real-world datasets, gaining practical experience.
  • Understand how to approach and solve data analysis problems.
  • Apply the skills learned in a hands-on project, demonstrating your ability to solve real-world problems. 
  • Gain skills that are in demand in various industries, including data analysis, business intelligence, and research.
  • Enhance your employability and career prospects.

 

Benefits of ARIVUDAMAI COURSES

 

Cost-Effective:

More affordable than traditional in-person courses, saving on travel and accommodation expenses.

 

Lifetime Access:

Some courses offer lifetime access to course materials, allowing you to revisit and review the content whenever needed.

 

Hands-On Projects:

Gain practical experience by working on real-world projects.

 

Career Advancement:

Acquire skills that are highly relevant in today’s job market, potentially opening up new career opportunities.

 

Flexibility:

Learn at your own pace and schedule, accommodating your work and personal commitments.

 

Accessibility:

Access course materials and lectures from anywhere with an internet connection.

 

Expert Instructors:

Learn from experienced professionals and experts in the field.

 

Interactive Learning:

Engage with interactive assignments, and projects to reinforce your understanding.

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What Will You Learn?

  • Develop a strong foundation in R programming, covering basic syntax, data types, functions and control structures.
  • Learn how to write and execute R code efficiently.
  • Acquire skills in data manipulation using R and learn how to explore and analyse datasets using descriptive statistics and basic statistical tests.
  • Master the ggplot2 package for creating a wide variety of data visualizations.
  • Learn techniques for importing and exporting data in various formats, such as CSV and Excel.
  • Learn to work with vectors, matrices and Data frames.
  • Learn the basics of the dplyr package for efficient and intuitive data manipulation and understand how to filter, select, mutate, and summarize data using dplyr.
  • Apply R programming skills to real-world datasets, gaining practical experience.
  • Understand how to approach and solve data analysis problems.
  • Apply the skills learned in a hands-on project, demonstrating your ability to solve real-world problems. 
  • Gain skills that are in demand in various industries, including data analysis, business intelligence, and research.
  • Enhance your employability and career prospects.

Course Content

Introduction
Introduction

  • Introduction to Course
    00:44
  • Understanding the Concept of Data Science
    02:13
  • Introduction to the R programming language
    05:15
  • Step-by-step installation guide for R
    04:36
  • Introduction to the R console (CLI)
    04:51
  • Step-by-step installation guide for RStudio
    03:29
  • Overview of the RStudio IDE (Integrated Development Environment)
    08:41
  • Basic operators and Commands
    15:19

R Basic
R Basic

Data Import and Export
Data Import and Export

Control Structures and Functions
Control Structures and Functions

Data Manipulation with dplyr
Data Manipulation with dplyr

Data Visualization with ggplot2
Data Visualization with ggplot2

Advanced Topics
Advanced Topics

Real-world Applications and Projects
Real-world Applications and Projects

MCQ Interview Questions
MCQ Interview Questions

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