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Mastering R: From Basics to Advanced Techniques

person icon Payaswini Sahu

4.6

Mastering R: From Basics to Advanced Techniques

Unlock the Power of Data with R Programming - Learn, Analyze, Visualiz

updated on icon Updated on Jun, 2025

language icon Language - English

person icon Payaswini Sahu

category icon IT and Software ,Other IT and Software,

Lectures -39

Resources -1

Duration -5.5 hours

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4.6

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Course Description

Discover the full potential of R programming with our comprehensive course designed to take you from beginner to advanced levels. Whether you're a novice or a seasoned data scientist, this course equips you with the skills needed to manipulate, analyze, and visualize data effectively. From mastering the fundamentals to diving into advanced techniques, you'll gain hands-on experience and practical insights to harness the power of R for your data projects. Join us and embark on a journey to elevate your data analysis capabilities with R programming.

Goals

  1. Mastering R Fundamentals: Gain a solid understanding of R programming language syntax, data types, and basic operations.
  2. Data Manipulation and Cleaning: Learn how to manipulate and clean data efficiently using packages like dplyr and tidyr.
  3. Statistical Analysis: Explore statistical techniques such as hypothesis testing, regression analysis, and data modeling using R.
  4. Data Visualization: Create compelling visualizations to effectively communicate insights using ggplot2 and other visualization packages.
  5. Problem-Solving Skills: Develop critical thinking and problem-solving abilities by tackling various data analysis challenges.
  6. Prepare for Career Advancement: Equip yourself with in-demand skills sought by employers in data analysis, research, and decision-making roles.

Prerequisites

No Prerequisites required.

Mastering R: From Basics to Advanced Techniques

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction

1 Lectures
  • play icon Introduction to the course 00:45 00:45

R and R studio installation

1 Lectures
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Basic Operations in R

3 Lectures
Tutorialspoint

Data structures in R

11 Lectures
Tutorialspoint

Data frames and other Important concepts

4 Lectures
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Control structures

2 Lectures
Tutorialspoint

Functions in R

3 Lectures
Tutorialspoint

Statistics

7 Lectures
Tutorialspoint

Data visualization

7 Lectures
Tutorialspoint

Instructor Details

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Payaswini Sahu

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