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Introduction to Data Analytics and R Programming

person icon Vignesh Muthuvelan

4.3

Introduction to Data Analytics and R Programming

Unlock the Power of Data: Master the Essentials of Data Analytics and R Programming

updated on icon Updated on Jun, 2025

language icon Language - English

person icon Vignesh Muthuvelan

category icon Development ,Programming Languages,R Programming

Lectures -60

Resources -5

Duration -4 hours

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Course Description

Embark on your journey into the dynamic world of data analytics with this comprehensive introductory course. Designed for beginners, this course will equip you with the essential skills and knowledge needed to analyze, interpret, and visualize data using R, a powerful and versatile programming language widely used in the field.

Throughout the course, you will learn the fundamentals of data analytics, including data collection, cleaning, and transformation. You will explore various statistical methods and techniques to draw meaningful insights from the data. Through hands-on exercises and real-world examples, you will become proficient in using R for data manipulation, statistical analysis, and data visualization.

Key topics covered include:

Understanding the data analytics lifecycle

Basics of R programming and RStudio environment

Whether you're a student, a professional looking to upskill, or simply curious about data, this course will provide you with a solid foundation in data analytics and R programming.

Goals

By the end of this course, students will be able to:

Understand Data Analytics Fundamentals: Comprehend the data analytics lifecycle, including data collection, cleaning, transformation, analysis, and visualization.

Gain Proficiency in R Programming: Develop a solid foundation in R programming, including understanding the RStudio environment, basic syntax, and essential functions.


Prerequisites

This course is designed for beginners, and no prior knowledge of data analytics or R programming is required. However, to ensure a smooth learning experience, the following prerequisites are recommended:

Basic Computer Literacy: Familiarity with basic computer operations, including file management and software installation.

Logical Thinking and Problem-Solving Skills: Ability to think logically and solve problems systematically.

Interest in Data and Analysis: A genuine interest in working with data and a curiosity about how data-driven decisions are made.

Introduction to Data Analytics and R Programming

Curriculum

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

Introduction to Data Analysis

10 Lectures
  • play icon What is Data 02:50 02:50
  • play icon Importance of Data 03:35 03:35
  • play icon Type of Data - Categorical 03:45 03:45
  • play icon Type of Data - Numerical 02:10 02:10
  • play icon Analytics and Analysis 02:26 02:26
  • play icon Data Analytics 05:39 05:39
  • play icon Data Analysis 02:04 02:04
  • play icon Classification of Data Analytics 09:57 09:57
  • play icon Process 03:12 03:12
  • play icon Resource file

Introduction to R programming

2 Lectures
Tutorialspoint

R and R studio Installation in Ubuntu

6 Lectures
Tutorialspoint

R Programming Basics

11 Lectures
Tutorialspoint

Operators

7 Lectures
Tutorialspoint

Control Structure

3 Lectures
Tutorialspoint

Looping Statement

4 Lectures
Tutorialspoint

String Handling

5 Lectures
Tutorialspoint

Vector Operations

4 Lectures
Tutorialspoint

Functions

8 Lectures
Tutorialspoint

Instructor Details

Vignesh Muthuvelan

Vignesh Muthuvelan

Greetings Future Tech Enthusiasts,

I'm not your average technical trainer; I'm a tech aficionado on a mission to ignite the spark of curiosity in the world of ones and zeros ? Imagine a guide who not only holds the secrets of Computer Science but also has the master key to the realms of Human Resources and Cloud Computing. Yes, that's me

Credentials at a Glance:

- Bachelor's Degree in Computer Science

- Master's Degree in HR (because even machines need good HR practices)

- Advanced Diploma in Cloud Computing (I like my head in the clouds – the digital ones, of course)

Teaching Experience:

For the past few years, I've been sprinkling the magic of knowledge in esteemed organizations. Picture this: a classroom filled with eager minds, a whiteboard covered in doodles of algorithms, and a trainer who believes that learning should be a blend of exploration and fun.

Why Me?

1. Versatility:

- I don't just speak binary; I'm fluent in the language of humans and the cloud. My unique blend of skills means you get a holistic view of the tech landscape.

2. Cutting-Edge Explorer:

- I don't chase trends; I set them. Staying at the forefront of technology is not just a habit; it's a lifestyle. Let's explore the future together

3. Passionate Communicator:

- Teaching isn't just my job; it's my passion. Complex concepts become simple stories, and I'm here to make sure no tech term feels like a tongue-twister.

What to Expect:

- Engaging lessons that go beyond the textbooks.

- Practical insights from the industry trenches.

- A sprinkle of humor to keep the code bugs away.

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