R Programming For Absolute Beginners

R Programming For Absolute Beginners paid course free. You will learn the basics of writing code in R – your first step to becoming a data scientist in this complete course.

  • Work with vectors, matrices and lists
  • Work with factors
  • Manage data frames
  • Write complex programming structures (loops and conditional statements)
  • Build their own functions and binary operations
  • Work with strings
  • Create charts in base R
  • No special prerequisite – you should only know how to use a computer

R Programming For Absolute Beginners Course Description

If you decide to learn R as your data science programming language, then you have made a good decision! R is the most widely used tool in statistical programming. It is powerful, versatile, and easy to use. It is the first choice of thousands of data analysts working in business and academia. This course will help you immediately master the basics of R as the first step to becoming an R data scientist expert.

This course is for absolute beginners, so you don’t need to know anything about R before you start. (You don’t even have to install the R program on your computer I will show you how to install it.) But after graduating from this course, you will have the most important R programming skills and be able to develop them further. Skills, exercises, based on the knowledge learned in the course. This course contains approximately 100 video lectures in nine parts.

Free Course:  Create Real World Civil Design Projects Using Auto Cad 2022

In the first part of this course, you will start with R: you will install the program (if you have not installed it yet), you will be familiar with the working interface in R Studio, and you will learn some basic technical knowledge, such as installing and activating packages Or configure the working directory. In addition, you will learn how to perform simple operations in R and how to use variables. The next five parts will focus on the five types of data structures in R: vectors, matrices, lists, factors, and data frames. Then you will learn how to manipulate data structures: how to index them, how to edit data, how to filter data based on various criteria, how to create and modify objects (or variables), how to apply functions to data, etc. These are all very important Because R is software for statistical calculations, and most R programming is about data manipulation.

Free Course:  Infrastructure as Code, Master AWS Cloud Development Kit CDK

Therefore, before using R for more advanced statistical analysis, you need to understand the basic techniques of data processing. After completing the data structure, we will introduce the R programming structure. In this section, you will learn about loops, conditional statements, and functions. You will learn how to combine loops and conditional statements to perform complex tasks, and how to create custom functions that can be saved and reused later. We will also study some practical examples of functions. The next part is about using strings. Here, we will introduce the most useful functions that allow us to manipulate strings. Therefore, you will learn to format strings for printing, concatenate strings, extract substrings from a given string, and especially create regular expressions that recognize string patterns.

In the next section, you will learn how to create an R graph. We will introduce seven types of charts: dot chart (scatter chart), line chart, bar chart, pie chart, histogram, density line, and box chart. In addition, you will learn how to draw functions of variables and how to export the graphs you create. Every command and function is intuitively explained-you can view the output in real-time. At the end of each section, you will find a PDF file with practical exercises to allow you to apply and strengthen your knowledge. So if you want to learn R from scratch, you need this course. Register now and start the wonderful R programming journey!

Free Course:  SQL & MySQL for Beginners: Analyse and Manipulate Data

Who this course is for:

  • Wannabe data scientists
  • Academic researchers
  • Doctoral researchers
  • Students
  • Anyone who wants to master R

Source: https://www.udemy.com/course/r-programming-course-for-absolute-beginners/

R Programming For Absolute Beginners

Leave a Comment