RStudio For Beginner Data Scientists

RStudio For Beginner Data Scientists, available at $44.99, has an average rating of 3.85, with 26 lectures, 3 quizzes, based on 25 reviews, and has 90 subscribers.

You will learn about Fundamentals of R Studio Data Preparation within R Studio Create Visualisations within R Studio Build Working Functions Work With Loops Such As For, If, Ifelse & While Data Science This course is ideal for individuals who are Beginner R Studio users with an interest in data analysis or Data Scientists wanting to learn RStudio It is particularly useful for Beginner R Studio users with an interest in data analysis or Data Scientists wanting to learn RStudio.

Enroll now: RStudio For Beginner Data Scientists

Summary

Title: RStudio For Beginner Data Scientists

Price: $44.99

Average Rating: 3.85

Number of Lectures: 26

Number of Quizzes: 3

Number of Published Lectures: 26

Number of Published Quizzes: 3

Number of Curriculum Items: 30

Number of Published Curriculum Objects: 30

Number of Practice Tests: 1

Number of Published Practice Tests: 1

Original Price: £44.99

Quality Status: approved

Status: Live

What You Will Learn

Fundamentals of R Studio
Data Preparation within R Studio
Create Visualisations within R Studio
Build Working Functions
Work With Loops Such As For, If, Ifelse & While
Data Science

Who Should Attend

Beginner R Studio users with an interest in data analysis
Data Scientists wanting to learn RStudio

Target Audiences

Beginner R Studio users with an interest in data analysis
Data Scientists wanting to learn RStudio

This course aims to cover the fundamental aspects of RStudio, whilst also providing some practical examples of how to use RStudio in a data science use case. This course provides varied difficulty of material to test whether the concepts covered in the lectures have been understood and can be applied.

Course Curriculum

Chapter 1: RStudio Setup

Lecture 1: Downloading RStudio

Lecture 2: Understanding R and RStudio

Chapter 2: RStudio Familiarising

Lecture 1: Working Directories

Lecture 2: Packages – Understanding, Installing & Loading

Lecture 3: Basic Operations – Mathematical

Lecture 4: Variables – What, Where and How

Lecture 5: Commenting – Usefulness and Best Practices

Chapter 3: Loops & Functions

Lecture 1: For Loops

Lecture 2: While Loops

Lecture 3: If/Ifelse Statements

Lecture 4: Functions

Chapter 4: Data Types

Lecture 1: Vectors

Lecture 2: Matrices

Lecture 3: Arrays

Lecture 4: Lists

Lecture 5: Data Frames

Chapter 5: External Data

Lecture 1: Import and Write CSV

Lecture 2: Import and Write Excel

Lecture 3: Import and Write HTML

Chapter 6: Data Cleaning

Lecture 1: Overview Data – Understand the Data's Purpose

Lecture 2: Sensechecking Data – Does the Data make sense?

Lecture 3: Dealing with NAs/Missing Values

Lecture 4: Descriptive Statistics

Chapter 7: Data Visualisations

Lecture 1: Base R Visualisations

Lecture 2: Ggplot Visualisations

Lecture 3: Plotly Visualisations

Instructors

Bradley Pearson
Business Analytics Graduate

Rating Distribution

1 stars: 1 votes
2 stars: 1 votes
3 stars: 9 votes
4 stars: 8 votes
5 stars: 6 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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