R Programming 2023: Hands on R Programming for Beginners

Name: R Programming 2023: Hands on R Programming for Beginners
Rating: 4.1 (160 reviews)

Learn R Programming and R Studio. Data Analytics. Data Science. Data Visualization. Packages: GGPlot2, Dplyr, StringR

Created byPrashanth Chidambaram

Last updated 12/2022

English

What you'll learn

Basics of R Programming
Learn to work with R and R Studio IDE
Build algorithms using logical and conditional operators as well as loop statements
Analyze large data-sets, and reproduce results in R/Excel
Thoroughly understand data structures in R and apply them as appropriate
Good working knowledge of stringr and dplyr packages
Understand basics of Data Science

Course content

4 sections • 19 lectures • 1h 52m total length

Setting up R and R Studio1:45
Download and Install R and R Studio on your system
Understanding R Studio: Layout and Features1:26
Understanding the layout of R Studio and basic features
Learn how to Import Files4:28
Installing libraries for the first time. Learning how to import CSV Files and set working directory.
Updating Libraries1:53
Understanding how to update libraries (both built-in as well as user-defined packages)

Data Types and Data Structures3:06
Understanding and classifying data is a very important aspect in your career as a data analyst. Knowing when to use what type of data will increase your efficiency by leaps and bounds.
In this lecture you will gain a broad understanding of the different data-types as well as data-structures available in R.
Let's revise data types
Conditional Operators: If-else and Nested if-else if-else statements6:18
Understand when, where and how to use conditional operator (if - else if - else) statements
Logical Operators: AND, OR and NOT6:47
Understand when, where and how to use logical operator (and, or, not) statements
Build and Break For and While Loops!11:30
Understand when, where and how to use loops (for and while) and understand how to control as well as break them using (next or break) statements
Applying Logical and Conditional Operators
Print the first six numbers of the Fibonacci sequence
Print the sum of first ten natural numbers

Vectors: Character, Numeric, Complex and Logical12:45
Learn the basics of character and numeric vectors
Going through Vector Operations7:47
Understanding arithmetic operations on vectors and the DMAS
Exploring round, floor, ceiling
Word Game: Transforming words to Pig Latin5:54
Understanding how to use the stringr package to modify character vectors
More Vector functions: any(), rep() and all()5:10
This lecture covers a few important functions in vectors any(), all() and rep()
Working with Films using Lists14:04
Learn to work with lists with a practical example
Matrices5:47
Understanding matrices with an example. Learn how indexing works in matrices and modify elements inside matrices
Preparing Class Report with a Matrix5:52
Experimenting with matrix operations while preparing a class report card
Introduction to Data-Frames3:41
Understanding the structure of data-frame and creating one from scratch!
Exploring more about Data-Frames3:50
Importing Excel files and modifying elements inside the data-frame
Working with MT Cars Dataset6:30
Exploring which(), order() and rev() functionality in data-frames

Requirements

High School Level Math

Description

R Programming 2023: Learn Basics of R Programming and gain one of employer's most requested skills in 2023!

Data Science is all about using data to solve some of society's most pressing problems. Harvard Business Review touted Data Science as the sexiest job of the 21st century, and no wonder Data Science is considered the future! with zettabytes and yottabytes of structured and unstructured data floating everyday, it calls for very unique skillsets to uncover hidden patterns and generate valuable insights from data.

This course covers the basics of R/ R Studio Programming and several practical exercises relating to data science such as data analysis, building algorithms, generating insights and data visualization.

R Programming is often associated with having a very steep learning curve and many students give up feeling overwhelmed by the language. The 'R for Beginners' course follows a step by step approach, combining conceptual learning with hands-on assignments, quizzes and real world projects.

Moreover, we would learning R Programming, with R Studio an IDE for R Programming, with a console, syntax editor for executing R Programming code and debugging, as well as advanced tools for data visualization such as plots and maps.

At the end of this R/R Studio Programming course, you would be able to understand and apply basics of R/R Studio programming, analyze large data sets, export your findings onto excel, visualize data and even build your own algorithms!

Who is this course aimed at

- Beginners who have no coding background in R Programming or otherwise

- Aspiring as well as professional data analysts, statisticians and programmers who want to pick up skills in R Programming

Who this course is for:

This course is for everyone, right from college students using R for a project to statisticians, programmers from other platforms, or pure beginners without any prior programming experience who want to become data analysts or data scientists

R Programming 2023: Hands on R Programming for Beginners

What you'll learn

Explore related topics

Course content

Getting started with R!4 lectures • 10min

Fundamentals of Programming4 lectures • 28min

Data Structures in R10 lectures • 1hr 11min

Bonus Section: Visualizing data!1 lecture • 4min

Requirements

Description

Who this course is for: