This free Introduction to R course is perfect for beginners looking to get started with R programming. You will begin by learning how to install R and declare variables, covering the basics needed to work with the language. We will introduce you to key data types, such as numeric, character, and logical, providing plenty of practical examples to help you understand them. You will also learn how to use different operators, such as assignment, arithmetic, relational, and logical, to perform calculations and data manipulations.
The course also covers R’s core data structures, including vectors, lists, matrices, and arrays, and shows you how to store and organize data the right way. You will learn about factors and dataframes, which are essential for working with structured data. We will also teach you built-in functions and flow control statements, enabling you to write more efficient code. With hands-on exercises throughout, this course will give you the experience you need in data analysis, manipulation, and visualization, making it a great starting point for anyone interested in data science or statistical computing.
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Installation is the very first step of using the software. This module provides information to all the learners from where we have to install R and how to declare and initialize variables in R.
Just like any other programing language R also has a variety of Data Types like numeric Data Type, Character Data Type, etc. In this module, we have a detailed discussion of Data Types in R with examples.
In this module, you will understand the types of Operators in R. you will learn about assignment operators, arithmetic operators, relational operators, and logical operators with suitable code examples.
This module equips you with the vector details in R, and you will also have a hands-on session on creating vector with appropriate code examples.
In R, a list is a generic object that represents an ordered collection of things. You will go through a detailed explanation on lists with code examples.
A matrix is a rectangular array of numbers arranged in columns and rows. This module explains matrix- two dimensional data structure better with code examples.
Arrays are important data storage structures with a specific number of dimensions. Through this module, you will learn about multidimensional homogeneous data structure- array in R with relevant code examples.
This module begins with explaining what a factor is and will help you understand it through an example. The second part of this section talks about what dataframes are and why they are essential. You will then work with sample codes to understand dataframes better.
This module contains a hands-on session in R where you will thoroughly learn about inbuilt functions and flow control statements in R through informative code examples.
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Instructor: Prof. Gary Gensler View the complete course: https://ocw.mit.edu/15-S12F18 This course is for students wishing to explore blockchain technology’s potential use - by entrepreneurs & incumbents - to change the world of money and finance. License: Creative Commons BY-NC-SA More information…
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This is CS50P, CS50's Introduction to Programming with Python. Register for free at https://cs50.edx.org/python. Slides and source code at https://cs50.harvard.edu/python. Playlist at https://www.youtube.com/playlist?list=PLhQjrBD2T3817j24-GogXmWqO5Q5vYy0V. An introduction to programming using a la…
This is CS50, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming, for concentrators and non-concentrators alike, with or without prior programming experience. (Two thirds of CS50 students have never taken CS before.) This course teaches…
Instructor: Ana Bell View the complete course: https://ocw.mit.edu/courses/6-100l-introduction-to-cs-and-programming-using-python-fall-2022/ *Note: Lectures 6, 10 have been updated! This subject is aimed at students with little to no programming experience. It aims to provide students with an under…
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