R Basics – R Programming Language Introduction

R Basics – R Programming Language Introduction, available at Free, has an average rating of 4.53, with 48 lectures, based on 18574 reviews, and has 218494 subscribers.

You will learn about You will learn how to navigate in the RStudio interface You will learn how to make basic graphs You will learn about the basic structure of R including packages You will learn how to perform basic commands in the R programming language You will also learn how to handle add on packages, how to use the R help tools and generally how to find your way in the R world. This course is ideal for individuals who are Students who need R for their courses or Web developers who want to implement data analysis features in their webpage or Everybody interested in statistics and data sciences or Researchers who perform data analysis including graphs or Professionals working in analytics or related fields It is particularly useful for Students who need R for their courses or Web developers who want to implement data analysis features in their webpage or Everybody interested in statistics and data sciences or Researchers who perform data analysis including graphs or Professionals working in analytics or related fields.

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Summary

Title: R Basics – R Programming Language Introduction

Price: Free

Average Rating: 4.53

Number of Lectures: 48

Number of Published Lectures: 29

Number of Curriculum Items: 48

Number of Published Curriculum Objects: 29

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

You will learn how to navigate in the RStudio interface
You will learn how to make basic graphs
You will learn about the basic structure of R including packages
You will learn how to perform basic commands in the R programming language
You will also learn how to handle add on packages, how to use the R help tools and generally how to find your way in the R world.

Who Should Attend

Students who need R for their courses
Web developers who want to implement data analysis features in their webpage
Everybody interested in statistics and data sciences
Researchers who perform data analysis including graphs
Professionals working in analytics or related fields

Target Audiences

Students who need R for their courses
Web developers who want to implement data analysis features in their webpage
Everybody interested in statistics and data sciences
Researchers who perform data analysis including graphs
Professionals working in analytics or related fields

Are you interested in data science?

Do you want to learn R totally from scratch?

Are you looking for an easy step by step approach to get into R?

Do you want to take an easy R course for BEGINNERS?

Well, if your answer is YES to some of these questions, look no further, this course will help you.

I created this course for the total beginner. That means for you: No prior knowledge required! If this is your first computer programming language to use – congratulations, you found your entry level material. If you are new to data science, no problem, you will learn anything you need to to start out with R.

That also means for you: if you are already used to R, you will likely benefit more from an advanced course. I have more than ten intermediate and advanced R courses available on Udemy, which might be more suited towards your needs. Check out the r-tutorials instructor profile for more info.

Let’s take a look at the content and how the course is structured:

We will start with installation, the R and RStudio interface, add on packages, how to use the R exercise database and the R help tools.

Then we will learn various ways to import data, first coding steps including basic R functions, functions and loops and we will also take a look at the graphical tools.

The whole course should take approx. 3 to 5 hours, and there are exercises available for you to try out R. You will also get the code I am using for the demos.

Anything is ready for you to enter the world of statistical programming.

What R you waiting for?

Martin

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome to R Basics

Lecture 2: Download R and RStudio

Lecture 3: RStudio Orientation

Lecture 4: Course Script

Lecture 5: The Structure of the R Ecosystem

Lecture 6: R Help Features

Lecture 7: Using R Functions

Lecture 8: Practice R – the R Exercise Database

Lecture 9: Three Common Mistakes of R Beginners

Chapter 2: Getting started with coding

Lecture 1: Your First Lines of R Code

Lecture 2: Using Some Basic Functions

Lecture 3: Exercise and Solution – Basic Coding

Lecture 4: Functions and Loops

Lecture 5: R Datasets and Data.Frames

Lecture 6: Importing CSV Files

Lecture 7: Advanced Data Import – Bonus Material from the Data Pre-Processing Course

Lecture 8: How to Best Structure Your R Learning Experience

Lecture 9: R Base Graphs

Lecture 10: R Base Graphs 2

Lecture 11: Exercise and Solution – R Base Graphs

Chapter 3: Bonus material from the other R-Tutorials courses

Lecture 1: Loading your csv files in R; Working directories

Lecture 2: Course R Level 1: Intro to the apply family of functions

Lecture 3: Course Statistics in R: Tests for normality, Exercise and solution

Lecture 4: Course Graphs in R: Lattice package plots

Lecture 5: Course Twitter Text Mining: Exercise and solution sentiment analysis

Lecture 6: Course Machine Learning: KNN Classification

Lecture 7: Course Machine Learning: Linear Discriminant Analysis

Lecture 8: Course Career Guide: Statistical Software Packages – Alternatives to R

Lecture 9: Where to get more info

Instructors

R-Tutorials Training
Data Science Education

Rating Distribution

1 stars: 113 votes
2 stars: 315 votes
3 stars: 2126 votes
4 stars: 6985 votes
5 stars: 9035 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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