The R Programming For Data Science A-Z Complete Diploma 2022

Learn all the R skills you need to become a Professional and Certified R Programmer with this Complete Bootcamp

4.47 (333 reviews)
Udemy
platform
English
language
Programming Languages
category
53,604
students
5 hours
content
Sep 2021
last update
$84.99
regular price

What you will learn

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

Description

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

# The R Programming For Data Science A-Z Complete Diploma 2022

R 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 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.

  • 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

Screenshots

The R Programming For Data Science A-Z Complete Diploma 2022 - Screenshot_01The R Programming For Data Science A-Z Complete Diploma 2022 - Screenshot_02The R Programming For Data Science A-Z Complete Diploma 2022 - Screenshot_03The R Programming For Data Science A-Z Complete Diploma 2022 - Screenshot_04

Content

Module 0: Introduction

Introduction
Downloading and Installing R
Downloading and Installing the RStudio IDE
Setup working directory

Module 1: Variables, Data Types and Hints

Variables in detail 1
Variables in detail 2
Variables in detail 3
Variables in detail 4
Data types 1
Data types 2
Data types 3
Code hints

Module 2: Numbers and Math

Type of numbers
Type conversion
Math operations

Module 3: Characters

Strings 1
Strings 2
Strings 3
Strings 4
Strings 5
Strings 6
Strings 7

Module 4: Logical and operators

Logical values 1
Logical values 2
Operators 1
Operators 2
Operators 3
Operators 4
Operators 5

Module 5: DS - Vectors

DS -Vectors 1
DS -Vectors 2
DS -Vectors 3
DS -Vectors 4
DS -Vectors 5
DS -Vectors 6
DS -Vectors 7

Module 6: DS - Lists

DS - Lists 1
DS - Lists 2
DS - Lists 3
DS - Lists 4

Module 7: DS - Matrices

DS - Matrices 1
DS - Matrices 2
DS - Matrices 3
DS - Matrices 4
DS - Matrices 5

Module 8: DS - Arrays

DS - Arrays 1
DS - Arrays 2
DS - Arrays 3
DS - Arrays 4
DS - Arrays 5

Module 9: DS - Data Frame

DS - Data Frame 1
DS - Data Frame 2
DS - Data Frame 3
DS - Data Frame 4
DS - Data Frame 5
DS - Data Frame 6

Module 10: DS - Factors

DS - Factors 1
DS - Factors 2
DS - Factors 3
DS - Factors 4

Module 11: Decision making

Conditional statements 1
Conditional statements 2
Conditional statements 3
Conditional statements 4

Module 12: Repetition

While loop 1
While loop 2
While loop 3
For loop 1
For loop 2
For loop 3
For loop 4

Module 13: Functional Programming

Functions 1
Functions 2
Functions 3
Functions 4
Functions 5

Module 14: Statistics and Data analysis

Statistics 1
Statistics 2
Statistics 3
Statistics 4
Statistics 5

Module 15: Data Visualization and Graphics

Plotting in R 1
Plotting in R 2
Plotting in R 3
Plotting in R 4
Lines 1
Lines 2
Lines 3
Pie Charts 1
Pie Charts 2
Pie Charts 3
Bars and Histograms 1
Bars and Histograms 2
Bars and Histograms 3
Bars and Histograms 4
Bars and Histograms 5

Reviews

Josenildo
June 8, 2022
O curso é uma introdução à linguagem. O instrutor é bem didáticos. Esperava mais na parte de gráficos e apresentação de dados.
Isshaan
April 25, 2022
It was nice and intricate in a good way. Instructor was interactive. I enjoyed this course and this course gave me the headstart to get into the world of data science and AI.
Rodrigo
March 31, 2022
Excelente, bastante practico y conciso con lo que se quiere aprender, además se entiende su inglés, totalmente recomendado.
Facundo
March 13, 2022
good: did actualy teach from 0 from the ground. bad: didnt made understand or see complex examples. just said a lot of words fast without deep comprehension of the topics.
Sandip
February 13, 2022
This course teach you the very basic of R programming. It would be better if it had a section for the project and teach how to approach that using R programming.
Edoh
February 3, 2022
Concise and clear! Straight to the point. This course is well designed and well taught. You can code as the course progresses and by the end you have mastered all the concepts of the R language. I recommend this course to all beginners or to those who want to refresh their knowledge of the R language.
Juan
January 25, 2022
This is a good course, you can learn, practice or remember many different things about R Studio, this is an beginers course it is NOT about Data Science.
Atharva
January 19, 2022
The course was literally good and the instructor was explaning so deeply. I really loved this course and I will recommend my friends to enroll for this course. But I missed one topic - Arithmetic operation of matrix. I think it should be there. My overall experience was good. Thank you so much sir!
Ashutosh
January 19, 2022
Demonstrated the general use of R nicely. It is up to the student, in the end, to explore more and learn the "specific" needs.
Yusuf
January 12, 2022
This has been the best course I have taken on R programming so far, because, it builds the foundation for learn the language, no guess work or cramming when you know the syntax of the language.
Shaun
November 28, 2021
Not as advertised. Extremely basic, does nothing for data science. Half of the course content is the words "The R Programming Language".
Marisa
October 26, 2021
Thank you so much for this course. I am studying a post grad diploma in healthcare informatics and R Programming is a module, I'm struggling with the current format and this Udemy course has really helped my understanding.
Axel
October 21, 2021
Demasiado básico. El título es engañoso porque en el curso no se manejan conceptos y técnicas de data science. Por el contrario, el curso funciona bien como una introducción a R y al análisis de datos (Pero sin recursos teóricos ni prácticos).

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Related Topics

4294492
udemy ID
9/12/2021
course created date
9/28/2021
course indexed date
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