R Programming For beginners
R Programming For beginners, available at $19.99, has an average rating of 4.25, with 23 lectures, based on 6 reviews, and has 603 subscribers.
You will learn about Install R and RStudio Create R script Create new R Projects Install and load packages Clean data with R Pipe functions into datasets Visualize your data using base R graphics Analyse Data Create objects (variables) This course is ideal for individuals who are Beginners to R It is particularly useful for Beginners to R.
Enroll now: R Programming For beginners
Summary
Title: R Programming For beginners
Price: $19.99
Average Rating: 4.25
Number of Lectures: 23
Number of Published Lectures: 23
Number of Curriculum Items: 23
Number of Published Curriculum Objects: 23
Original Price: $27.99
Quality Status: approved
Status: Live
What You Will Learn
- Install R and RStudio
- Create R script
- Create new R Projects
- Install and load packages
- Clean data with R
- Pipe functions into datasets
- Visualize your data using base R graphics
- Analyse Data
- Create objects (variables)
Who Should Attend
- Beginners to R
Target Audiences
- Beginners to R
R is a programming language and software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing.
The R language is widely used among statisticians and data miners for developing statistical software and data analysis . R is an integrated suite of software facilities for data manipulation, calculation and graphical display. It includes
• an effective data handling and storage facility,
• a suite of operators for calculations on arrays, in particular matrices,
• a large, coherent, integrated collection of intermediate tools for data analysis,
• graphical facilities for data analysis and display either on-screen or on hardcopy, and
• a well-developed, simple and effective programming language which includes conditionals, loops, user-defined recursive functions and input and output facilities.
RStudio is an integrated development environment for R, a programming language for statistical computing and graphics. It is available in two formats: RStudio Desktop is a regular desktop application while RStudio Server runs on a remote server and allows accessing RStudio using a web browser.
R is installed on your computer and uses your personal computer resources to process R programming language. RStudio integrates with R as an IDE (Integrated Development Environment) to provide further functionality. RStudio combines a source code editor, build automation tools and a debugger.
In this course we will setup an R environment and perform data analysis and visualisation.
Course Curriculum
Chapter 1: Setting Up R Environment
Lecture 1: Introduction
Lecture 2: What is R
Lecture 3: Installing R on Windows
Lecture 4: Installing R on Macs
Lecture 5: What is R Studio
Lecture 6: Installing R Studio on Windows
Lecture 7: Installing R Studio on Macs
Lecture 8: Exploring R Studio default interface
Lecture 9: Creating a new project in R Studio
Lecture 10: What are packages
Lecture 11: How to install packages
Lecture 12: Loading Packages
Lecture 13: Importing data into R Studio
Lecture 14: How to read data in a csv file with R
Lecture 15: Install Janitor Package
Chapter 2: Data Analysis & Visualization with R
Lecture 1: Cleaning columns
Lecture 2: Selecting a subset of data
Lecture 3: Performing multiple operations with pipe operator
Lecture 4: Creating new columns from existing columns
Lecture 5: Create a new R Project
Lecture 6: Load data into new project
Lecture 7: Perform Data Wrangling
Lecture 8: Create a bar graph
Instructors
-
247 Learning
An investment in knowledge pays the best interest
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 1 votes
- 3 stars: 1 votes
- 4 stars: 1 votes
- 5 stars: 3 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!
You may also like
- Deploy Your Web App to the Apple App Store with Capacitor
- Basic SQL CRUD
- Programming with Python – part 2
- Create a Text Completion ChatGPT A.I. Bot With Tkinter
- R Programming For beginners
- Data Analytics and Artificial Intelligence for Beginners
- Access 365 Expert: The Ultimate Access 365 Database Course
- FullStack Food Delivery App-Stripe Payment & Admin Dashboard
- Learn FSWD – CSS : ISL Interpretation Included
- Learn Git and GitHub – FastTrack Your Journey to Git!
- PHP for Beginners 2023
- Superb Advance Javascript – Become Javascript Professional
- The Complete Beginner to Advanced PostgreSQL Course 2024
- Intro to AI Agents: Build an Army of Digital Workers with AI
- Introduction to Automata Theory
- JavaScript: Beginners Guide [2023]
- Build Job Search Portal WordPress Website Like Indeed
- Complete Python Kivy course from Scratch | APKs with Python
- Python STEM Essentials
- Generative Adversarial Networks (GANs): Complete Guide