Udemy - The R Programming for Everyone A-Z Comprehensive Bootcamp

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[ CourseMega.com ] Udemy - The R Programming for Everyone A-Z Comprehensive Bootcamp
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Module 0 Introduction
    • 1. Introduction.mp4 (18.8 MB)
    • 1. Introduction.srt (4.6 KB)
    • 2. Downloading and Installing R.mp4 (29.2 MB)
    • 2. Downloading and Installing R.srt (5.8 KB)
    • 3. Downloading and Installing the RStudio IDE.mp4 (33.8 MB)
    • 3. Downloading and Installing the RStudio IDE.srt (7.1 KB)
    • 4. Setup working directory.mp4 (4.4 MB)
    • 4. Setup working directory.srt (1.3 KB)
    10. Module 9 DS - Data Frame
    • 1. DS - Data Frame 1.mp4 (9.3 MB)
    • 1. DS - Data Frame 1.srt (1.7 KB)
    • 2. DS - Data Frame 2.mp4 (20.9 MB)
    • 2. DS - Data Frame 2.srt (3.7 KB)
    • 3. DS - Data Frame 3.mp4 (17.3 MB)
    • 3. DS - Data Frame 3.srt (2.9 KB)
    • 4. DS - Data Frame 4.mp4 (36.4 MB)
    • 4. DS - Data Frame 4.srt (5.6 KB)
    • 5. DS - Data Frame 5.mp4 (21.6 MB)
    • 5. DS - Data Frame 5.srt (3.4 KB)
    • 6. DS - Data Frame 6.mp4 (25.0 MB)
    • 6. DS - Data Frame 6.srt (3.4 KB)
    11. Module 10 DS - Factors
    • 1. DS - Factors 1.mp4 (3.9 MB)
    • 1. DS - Factors 1.srt (1.3 KB)
    • 2. DS - Factors 2.mp4 (35.4 MB)
    • 2. DS - Factors 2.srt (6.1 KB)
    • 3. DS - Factors 3.mp4 (16.2 MB)
    • 3. DS - Factors 3.srt (2.9 KB)
    • 4. DS - Factors 4.mp4 (23.2 MB)
    • 4. DS - Factors 4.srt (4.2 KB)
    12. Module 11 Decision making
    • 1. Conditional statements 1.mp4 (9.9 MB)
    • 1. Conditional statements 1.srt (2.5 KB)
    • 2. Conditional statements 2.mp4 (20.9 MB)
    • 2. Conditional statements 2.srt (3.7 KB)
    • 3. Conditional statements 3.mp4 (17.1 MB)
    • 3. Conditional statements 3.srt (2.7 KB)
    • 4. Conditional statements 4.mp4 (27.4 MB)
    • 4. Conditional statements 4.srt (4.1 KB)
    13. Module 12 Repetition
    • 1. While loop 1.mp4 (10.1 MB)
    • 1. While loop 1.srt (2.1 KB)
    • 2. While loop 2.mp4 (20.2 MB)
    • 2. While loop 2.srt (4.3 KB)
    • 3. While loop 3.mp4 (17.3 MB)
    • 3. While loop 3.srt (3.4 KB)
    • 4. For loop 1.mp4 (8.2 MB)
    • 4. For loop 1.srt (1.4 KB)
    • 5. For loop 2.mp4 (11.9 MB)
    • 5. For loop 2.srt (2.7 KB)
    • 6. For loop 3.mp4 (33.5 MB)
    • 6. For loop 3.srt (6.2 KB)
    • 7. For loop 4.mp4 (14.5 MB)
    • 7. For loop 4.srt (2.6 KB)
    14. Module 13 Functional Programming
    • 1. Functions 1.mp4 (7.6 MB)
    • 1. Functions 1.srt (1.2 KB)
    • 2. Functions 2.mp4 (18.9 MB)
    • 2. Functions 2.srt (3.6 KB)
    • 3. Functions 3.mp4 (38.5 MB)
    • 3. Functions 3.srt (6.0 KB)
    • 4. Functions 4.mp4 (20.2 MB)
    • 4. Functions 4.srt (3.2 KB)
    • 5. Functions 5.mp4 (46.1 MB)
    • 5. Functions 5.srt (6.5 KB)
    15. Module 14 Statistics and Data analysis
    • 1. Statistics 1.mp4 (10.5 MB)
    • 1. Statistics 1.srt (2.1 KB)
    • 2. Statistics 2.mp4 (74.0 MB)
    • 2. Statistics 2.srt (9.4 KB)
    • 3. Statistics 3.mp4 (30.2 MB)
    • 3. Statistics 3.srt (4.4 KB)
    • 4. Statistics 4.mp4 (29.2 MB)
    • 4. Statistics 4.srt (4.0 KB)
    • 5. Statistics 5.mp4 (21.4 MB)
    • 5. Statistics 5.srt (2.6 KB)
    16. Module 15 Data Visualization and Graphics
    • 1. Plotting in R 1.mp4 (2.0 MB)
    • 1. Plotting in R 1.srt (0.7 KB)
    • 10. Pie Charts 3.mp4 (38.6 MB)
    • 10. Pie Charts 3.srt (5.8 KB)
    • 11. Bars and Histograms 1.mp4 (7.5 MB)
    • 11. Bars and Histograms 1.srt (1.2 KB)
    • 12. Bars and Histograms 2.mp4 (14.2 MB)
    • 12. Bars and Histograms 2.srt (2.3 KB)
    • 13. Bars and Histograms 3.mp4 (11.9 MB)
    • 13. Bars and Histograms 3.srt (1.7 KB)
    • 14. Bars and Histograms 4.mp4 (17.0 MB)
    • 14. Bars and Histograms 4.srt (2.4 KB)
    • 15. Bars and Histograms 5.mp4 (18.6 MB)
    • 15. Bars and Histograms 5.srt (2.8 KB)
    • 2. Plotting in R 2.mp4 (23.0 MB)
    • 2. Plotting in R 2.srt (4.7 KB)
    • 3. Plotting in R 3.mp4 (19.8 MB)
    • 3. Plotting in R 3.srt (3.7 KB)
    • 4. Plotting in R 4.mp4 (11.4 MB)
    • 4. Plotting in R 4.srt (2.0 KB)
    • 5. Lines 1.mp4 (1.9 MB)
    • 5. Lines 1.srt (0.7 KB)
    • 6. Lines 2.mp4 (19.4 MB)
    • 6. Lines 2.srt (3.4 KB)
    • 7. Lines 3.mp4 (25.5 MB)
    • 7. Lines 3.srt (3.5 KB)
    • 8. Pie Charts 1.mp4 (2.4 MB)
    • 8. Pie Charts 1.srt (0.5 KB)
    • 9. Pie Charts 2.mp4 (18.2 MB)
    • 9. Pie Charts 2.srt (3.4 KB)
    2. Module 1 Variables, Data Types and Hints
    • 1. Variables in detail 1.mp4 (19.2 MB)
    • 1. Variables in detail 1.srt (3.4 KB)
    • 2. Variables in detail 2.mp4 (20.0 MB)
    • 2. Variables in detail 2.srt (4.8 KB)
    • 3. Variables in detail 3.mp4 (20.1 MB)
    • 3. Variables in detail 3.srt (3.8 KB)
    • 4. Variables in detail 4.mp4 (17.3 MB)
    • 4. Variables in detail 4.srt (3.3 KB)
    • 5. Data types 1.mp4 (12.4 MB)
    • 5. Data types 1.srt (3.1 KB)
    • 6. Data types 2.mp4 (19.4 MB)
    • 6. Data types 2.srt (3.8 KB)
    • 7. Data types 3.mp4 (19.3 MB)
    • 7. Data types 3.srt (2.8 KB)
    • 8. Code hints.mp4 (13.1 MB)
    • 8. Code hints.srt (2.5 KB)
    • 2. Type conversion.jpeg (199.8 KB)
      • 3. Module 2 Numbers and Math

Description

The R Programming for Everyone A-Z Comprehensive Bootcamp



Created by SDE OCTOPUS, Ahmed Ibrahim | Published 9/2021
Duration: 5h 6m | 16 sections | 96 lectures | Video: 1280x720, 44 KHz | 2 GB
Genre: eLearning | Language: English + Sub
Learn all the R skills you need to become a Professional and Certified R Programmer with this Complete Bootcamp

What you'll 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
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Requirements
No programming experience needed. You'll learn everything you need to know
Description
Hello and Welcome to the exciting world of the R programming language.
# The R Programming for Everyone A-Z Comprehensive Bootcamp 2021
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.
\n
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.



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Udemy - The R Programming for Everyone A-Z Comprehensive Bootcamp

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2 GB
seeders:6
leechers:12
Udemy - The R Programming for Everyone A-Z Comprehensive Bootcamp

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