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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