Programming With R. Learn How To Program In R – Beginners

Programming With R. Learn How To Program In R – Beginners, available at $19.99, has an average rating of 4.15, with 55 lectures, based on 49 reviews, and has 642 subscribers.

You will learn about Learn How To Get Started Programming In R This course is ideal for individuals who are Beginners To R Programming It is particularly useful for Beginners To R Programming.

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Summary

Title: Programming With R. Learn How To Program In R – Beginners

Price: $19.99

Average Rating: 4.15

Number of Lectures: 55

Number of Published Lectures: 55

Number of Curriculum Items: 55

Number of Published Curriculum Objects: 55

Original Price: $39.99

Quality Status: approved

Status: Live

What You Will Learn

Learn How To Get Started Programming In R

Who Should Attend

Beginners To R Programming

Target Audiences

Beginners To R Programming

This Learning R training course from Infinite Skills will teach you how to use R, a programming language used for statistical computing and graphics. This course is designed for beginners that have no previous R programming experience. You will require a fundamental understanding of statistics to get the most out of this course.

You will start by learning how to install and navigate R studio, then move into learning basic operations like statistical functions, matrix operations, and string functions. This course will show you how to plot, including scatter plots, probability plots, and plotting arguments. This video tutorial will cover working with data and data analysis, such as extracting model information, examining files and objects, and subsetting and indexing. You will also learn about conditional statements and user-defined functions, including how to write and de-bug functions. Finally, you will learn how to save different types of data.

Once you have completed this computer based training course, you will be fully capable of using R for developing statistical software and data analysis tools. Working files are included, allowing you to follow along with the author throughout the lessons.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Important – Download These First – Working Files

Lecture 2: 0101 Introduction And Course Overview

Lecture 3: 0103 Installing R And R Studio

Lecture 4: 0104 Navigating R Studio

Lecture 5: 0105 Packages

Lecture 6: 0106 Assigning Variables

Lecture 7: 0107 Numbers, Strings, And Booleans

Lecture 8: 0108 Workspace Operations

Lecture 9: 0109 How To Access Your Working Files

Chapter 2: Basic Operations And Manipulations

Lecture 1: 0201 Basic Operators

Lecture 2: 0202 Vectors

Lecture 3: 0203 Sequences

Lecture 4: 0204 Basic Statistical Functions

Lecture 5: 0205 Matrices

Lecture 6: 0206 Matrix Operations

Lecture 7: 0207 Basic Matrix Statistics

Lecture 8: 0208 Generating Random Numbers

Lecture 9: 0209 String Functions

Lecture 10: 0210 Dates And Times

Chapter 3: Plotting

Lecture 1: 0301 Line Plots

Lecture 2: 0302 Plotting Arguments

Lecture 3: 0303 Bar Graphs And Histograms

Lecture 4: 0304 Scatter Plots

Lecture 5: 0305 Probability Plots

Lecture 6: 0306 Combining And Saving Plots

Chapter 4: Working With Data

Lecture 1: 0401 Arrays

Lecture 2: 0402 Lists

Lecture 3: 0403 Data Frames

Lecture 4: 0404 Data Import

Lecture 5: 0405 Missing Data – Part 1

Lecture 6: 0406 Missing Data – Part 2

Lecture 7: 0407 Ordering And Sorting

Lecture 8: 0408 Subsetting And Indexing

Lecture 9: 0409 Merging Data

Lecture 10: 0410 Examining Files And Objects

Chapter 5: Data Analysis

Lecture 1: 0501 Descriptive Statistics

Lecture 2: 0502 Apply Functions

Lecture 3: 0503 Linear Models

Lecture 4: 0504 Extracting Model Information

Lecture 5: 0505 Principal Componant Analysis

Chapter 6: Time Series Data

Lecture 1: 0601 XTS Objects

Lecture 2: 0602 ACF Plots

Lecture 3: 0603 Decomposition

Lecture 4: 0604 Exponential Smoothing

Lecture 5: 0605 Rolling Functions

Lecture 6: 0606 ARIMA Models

Chapter 7: Conditional Statements And Loops

Lecture 1: 0701 If Statements

Lecture 2: 0702 For Loops

Lecture 3: 0703 While Loops

Lecture 4: 0704 Appending Loops

Chapter 8: User-Defined Functions

Lecture 1: 0801 Writing Functions

Lecture 2: 0802 Debugging Functions

Lecture 3: 0803 Recursive Functions

Chapter 9: Saving Data

Lecture 1: 0901 Saving Different Types Of Data

Lecture 2: 0902 Additional Resources

Instructors

Infinite Skills
High Quality Training

Rating Distribution

1 stars: 2 votes
2 stars: 1 votes
3 stars: 4 votes
4 stars: 22 votes
5 stars: 20 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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