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The R Programming for Everyone A-Z Comprehensive Bootcamp

28 Sep, 2021by Admin 40
The R Programming for Everyone A-Z Comprehensive Bootcamp
The R Programming for Everyone A-Z Comprehensive Bootcamp

Get Udemy Coupon 100% OFF For The R Programming for Everyone A-Z Comprehensive Bootcamp Course

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Hello and Welcome to the exciting world of the R programming language.

# The R Programming for Everyone A-Z Comprehensive Bootcamp 2021

is one of the most powerful programming languages, for statistical computing and graphical presentation to analyze and visualize data.

In this course, I’m going to show you how to code with R from the R basics to the R advanced concepts.

Also, you will explore how the R programming language can be used today for data analysis and the production of beautiful data visualizations and graphics.

The best part? Every single topic and tool in this course will be explained theoretically and practically with real examples step by step.

This course will cover all the R essentials needed for everyone such as:

The R working tools and environment for professionals The R syntax and how to explain and describe the code using comments Variables, Values and assignments All the Data types available in R. Performing mathematical operations, type conversion built-in functions and many useful built-in functions for math operations. Working with collection of characters and strings in R, also essential character operations Logical values and Booleans. Handling different operations on variables and values by using different types of operators. All the Data Structures in R such as vectors, lists, matrices, data frames and factorsAnd also all the essential operations for these data structures. decision making by using conditional statements in R. Repeat block of code and iterate over collections with loops. Functional programming and code reusing. Statistics and data analysis concepts: datasets, many built-in functions, techniques and tools for statistical operations. Graphics and data visualizations in R: drawing points, line plotting, pie charts, bar charts, histograms and more.

You will learn and understand all these concepts and more.

R is free open source, and very widely used by professional statisticians and data scientists.

It is also very popular in certain application areas, including bioinformatics. R is a dynamically typed interpreted language, and is typically used interactively. It has many built-in functions and libraries, and is extensible, allowing users to define their own functions and procedures using R, C or Fortran. It also has a simple object system. So, it’s really powerful!

So, what are you waiting for, enroll now to go through a complete bootcamp of one of the most popular and powerful programming languages on the market for , R.

Become A Professional R Programmer and Data Scientist in no time!

Let’s get started

Who this course is for:

Beginner R Programmers New developers and Engineers Programming and software development engineering newbies Developers and Engineers who know other programming language but are new to R Developers curious about Learning R for data science Beginner Data Engineers/Scientists

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WHAT WILL YOU LEARN IN THIS COURSE:

The R working tools and environment for professionals
The R syntax and how to explain and describe the code using comments
Variables, Values and assignments
All the Data types available in R
Performing mathematical operations, type conversion built-in functions and many useful built-in functions for math operations
Working with collection of characters and strings in R, also essential character operations
Logical values and booleans
Handling different operations on variables and values by using different types of operators
All the Data Structures in R such as vectors, lists, matrices, data frames and factors. And also all the essential operations for these data structures
Decision making by using conditional statements in R
Repeat block of code and iterate over collections with loops
Functional programming and code reusing
Statistics and data analysis concepts: datasets, many built-in functions, techniques and tools for statistical operations
Data visualizations and Graphics in R: drawing points, line plotting, pie charts, bar charts, histograms and more
Get the instructor QA Support

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IF YOU FIND THIS FREE UDEMY COURSER Programming “USEFUL AND HELPFUL PLEASE GO AHEAD SHARE THE KNOWLEDGE WITH YOUR FRIENDS WHILE THE COURSE IS STILL AVAILABLE


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