Programming with R

By Mihaela Danci
Data analysis is an incredibly valuable skill for everyone in every industry. Assuming no prior knowledge, this course will show you the basics of R programming language such as data types and data structures, conditional statements, and functions.
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Course info
Rating
(22)
Level
Beginner
Updated
Feb 28, 2020
Duration
2h 2m
Table of contents
Course Overview
Course Overview 1m
Getting Started with R
Introduction 4m Why R? 5m Integrated Development Environment 6m Variables and Operators 8m Data Types 7m Code Style 4m Organising Your Code 2m Summary 2m
Exploring Vectors and Factors
Introduction 1m Data Structures 2m Creating Vectors 6m Manipulating Vectors 5m Operating Vectors 5m Sets 3m Factors 2m Summary 1m
Using Matrices, Arrays, and Lists
Introduction 1m Matrices 7m Arrays 2m Lists 3m Summary 1m
Working with Data Frames
Introduction 1m Discovering Data Frames 1m Demo: Creating Data Frames 3m Manipulating Data Frames 3m Demo: Manipulating Data Frames 2m Working with Tidyverse 4m Demo: Working with Tidyverse 2m Data Structures Recap 1m Summary 1m
Managing Control Statements
Introduction 1m Conditional Statements 4m Switch Statement 2m Loops 5m Demo: Loops 3m Summary 1m
Building Your First Function
Introduction 1m Discovering Functions 2m Function Components 4m Demo: Writing Functions 3m Summary 2m
Description
Course info
Rating
(22)
Level
Beginner
Updated
Feb 28, 2020
Duration
2h 2m
Description

At the core of data analysis is a thorough knowledge of R programming. In this course, Programming with R, you will learn how to manipulate different objects. First, you will learn the basic syntax. Next, you will explore data types and data structures available in R. Finally, you will discover how to write your own functions by implementing control flow statements. When you are finished with this course, you will have a foundational knowledge of R programming that will help you as you move forward to data science.

About the author
Mihaela Danci
About the author

As a data analyst enthusiast, Mihaela has special interests in translating vision into action using end-to-end data analysis while being very passionate about teaching.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
[Autogenerated] Hi, everyone. My name is my holiday change and welcome to my course programming with our I would data analyst. And let me tell you something about me. I'm really passionate about finding patterns and working with visual datum. Data analysis is an incredible skill in today's market, and in this course we're going to explore the most important concepts that you were required. When four starting to work with art tell off the major topics that will recover include discovering the syntax by working with our studio. Then we'll dive into data types and we will work with different data structures like factors or data frames. Next, using Contra Flow state. Once we will control the execution flow off our program and finally we'll create our first function. By the end of this course, you'll have a solid foundation to get started performing data analysis. This course is a quick introduction to our programming. So no prior experience with our is required from here. You should feel comfortable diving in tow are with courses on graphics, exploratory data analysis and data science. I hope you enjoy me on this journey to learn our with the programming with our course at plural site

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