2022 - R Programming Bootcamp
Published 11/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 245.07 MB | Duration: 1h 25m
Published 11/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 245.07 MB | Duration: 1h 25m
R Programming course suitable for everyone, no coding experience or a statistics background needed
What you'll learn
Basics of R Programming
Data Structures in R
Create your own functions that will enable you to reutilize code.
Do interesting graph plotting
Requirements
No Prior Programming Experience Needed.
Description
So, you've decided that you want to learn R or you want to get familiar with it, but don't know where to start? Or are you a data/business analyst or data scientist that wants to have a smooth transition into R programming?Then, this course was designed just for you!This course was designed to be your first step into the R programming world! We will delve deeper into the concepts of R objects, understand the R user interface and play around with several datasets. This course contains lectures around the following groups:1. Basics of R 2. Control Statements in R3. Functions in R4. Data Structures in R5. Plotting Graphs in RThis course was designed to be focused on the practical side of coding in R - instead of teaching you every function and method out there, I'll show you how you can read questions and examples and get to the answer by yourself, compounding your knowledge on the different R objects.At the end of the course you should be able to use R to analyze your own datasets. Along the way you will also learn what R vectors, arrays, matrixes and lists are and how you can combine the knowledge of those objects to power up your analysis.Here are some examples of things you will be able to do after finishing the course:Do interesting line plots that enable you to draw conclusions from data.Plot histograms of numerical data.Create your own functions that will enable you to reutilize code.Data Structures in R Join thousands of professionals and students in this R journey and discover the amazing power of this statistical open-source language.This course will be constantly updated based on students feedback.
Overview
Section 1: Basics of R Programming
Lecture 1 Variables
Lecture 2 Data Types
Lecture 3 Numbers and Math
Lecture 4 Switching to online IDE
Section 2: Control statements in R
Lecture 5 if statement in R
Lecture 6 if-else statement in R
Lecture 7 else if statement in R
Lecture 8 While Loop in R
Lecture 9 Break statement
Lecture 10 Next statement
Lecture 11 For Loop in R
Section 3: Functions in R
Lecture 12 Creating and calling functions
Lecture 13 Function with Return values
Lecture 14 Nested Functions
Lecture 15 Recursion
Section 4: Data structures in R
Lecture 16 Vectors
Lecture 17 Lists
Section 5: Plotting Graphs in R
Lecture 18 R Plot
Lecture 19 R Line
Lecture 20 R Pie Charts
Lecture 21 R Bars
Section 6: Assignments in R
Business Analysts,Data Analysts,Financial Managers,Statisticians,R learners,Data Scientists,Data Engineers,Entry-level Data Scientists,Software Engineering Undergraduates,Graduate Students