R Programming For Absolute Beginners

Salepage : R Programming For Absolute Beginners
Archive : R Programming For Absolute Beginners Digital Download
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You have made a fantastic option in choosing R as your data science programming language.

R is the most extensively used statistical programming language. It is strong, versatile, and simple to use. It is the preferred option for thousands of data analysts in businesses and academics. This course will help you quickly grasp the fundamentals of R as a first step toward becoming a proficient R data scientist.

Because the course is designed for complete novices, you do not need to know anything about R before beginning. (You don’t even need to have the R software installed on your computer; I’ll teach you how to accomplish that.) However, upon completion of this course, you will have the most important R programming abilities – and you will be able to further expand these skills by practicing what you have learnt in the course.

This course is divided into nine sections with around 100 video lectures.

In the first portion of this course, you will get started with R by installing the software (if you haven’t previously), familiarizing yourself with the working interface in R Studio, and learning some fundamental technical concepts such as installing and activating packages and configuring the working directory. You will also learn how to do basic operations in R and how to interact with variables.

The next five parts will go over the five different types of data structures in R: vectors, matrices, lists, factors, and data frames. So you’ll learn how to manage data structures, including how to index them, update data, filter data based on various criteria, create and alter objects (or variables), apply functions to data, and much more. These are critical subjects since R is a statistical computing software and the majority of R programming is about manipulating data. Before moving on to more complex statistical studies in R, you must first understand the fundamentals of data processing.

After we complete with data structures, we’ll move on to R programming structures. Loops, conditional statements, and functions will be covered in this section. You’ll learn how to utilize loops and conditional statements together to execute complicated tasks, as well as how to write unique functions that you can store and reuse later. We will also look at some real-world instances of functions.

The next section discusses string manipulation. In this section, we will go through the most useful functions for manipulating strings. As a result, you will learn how to format strings for printing, concatenate strings, extract substrings from a given string, and, most importantly, develop regular expressions that discover patterns in strings.

The next part will teach you how to create charts in R. We’ll go through seven different sorts of charts: scatterplots, line charts, bar charts, pie charts, histograms, density lines, and boxplots. You will also learn how to plot a function of one variable and export the charts you produce.

Every command and function is clearly described, and the outcome is visible in real time. Each session concludes with a PDF file including practical activities that allow you to apply and deepen your knowledge. So, if you want to study R from the ground up, this is the course for you. Enroll today and start your wonderful R programming experience!

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