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

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Udemy - The R Programming for Everyone A-Z Comprehensive Bootcamp (Size: 2 GB)
  1. Conditional statements 1.mp4 9.9 MB
  1. Conditional statements 1.srt 2.5 KB
  1. DS - Arrays 1.mp4 3.9 MB
  1. DS - Arrays 1.srt 921.6 B
  1. DS - Data Frame 1.mp4 9.3 MB
  1. DS - Data Frame 1.srt 1.7 KB
  1. DS - Factors 1.mp4 3.9 MB
  1. DS - Factors 1.srt 1.3 KB
  1. DS - Lists 1.mp4 15.7 MB
  1. DS - Lists 1.srt 3.3 KB
  1. DS - Matrices 1.mp4 8.1 MB
  1. DS - Matrices 1.srt 1.4 KB
  1. DS -Vectors 1.mp4 9.3 MB
  1. DS -Vectors 1.srt 1.8 KB
  1. Functions 1.mp4 7.6 MB
  1. Functions 1.srt 1.2 KB
  1. Introduction.mp4 18.8 MB
  1. Introduction.srt 4.6 KB
  1. Logical values 1.mp4 8.1 MB
  1. Logical values 1.srt 1.5 KB
  1. Plotting in R 1.mp4 2 MB
  1. Plotting in R 1.srt 716.8 B
  1. Statistics 1.mp4 10.5 MB
  1. Statistics 1.srt 2.1 KB
  1. Strings 1.mp4 24.8 MB
  1. Strings 1.srt 4 KB
  1. Type of numbers.mp4 52.2 MB
  1. Type of numbers.srt 9.1 KB
  1. Variables in detail 1.mp4 19.2 MB
  1. Variables in detail 1.srt 3.4 KB
  1. While loop 1.mp4 10.1 MB
  1. While loop 1.srt 2.1 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 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. Conditional statements 2.mp4 20.9 MB
  2. Conditional statements 2.srt 3.7 KB
  2. DS - Arrays 2.mp4 11.9 MB
  2. DS - Arrays 2.srt 2.2 KB
  2. DS - Data Frame 2.mp4 20.9 MB
  2. DS - Data Frame 2.srt 3.7 KB
  2. DS - Factors 2.mp4 35.4 MB
  2. DS - Factors 2.srt 6.1 KB
  2. DS - Lists 2.mp4 26.6 MB
  2. DS - Lists 2.srt 5.1 KB
  2. DS - Matrices 2.mp4 20.5 MB
  2. DS - Matrices 2.srt 3.7 KB
  2. DS -Vectors 2.mp4 23 MB
  2. DS -Vectors 2.srt 4.5 KB
  2. Downloading and Installing R.mp4 29.2 MB
  2. Downloading and Installing R.srt 5.8 KB
  2. Functions 2.mp4 18.9 MB
  2. Functions 2.srt 3.6 KB
  2. Logical values 2.mp4 23.6 MB
  2. Logical values 2.srt 4.8 KB
  2. Plotting in R 2.mp4 23 MB
  2. Plotting in R 2.srt 4.7 KB
  2. Statistics 2.mp4 74 MB
  2. Statistics 2.srt 9.4 KB
  2. Strings 2.mp4 19 MB
  2. Strings 2.srt 3.3 KB
  2. Type conversion.jpeg 199.8 KB
  2. Type conversion.mp4 55.8 MB
  2. Type conversion.srt 8.7 KB
  2. Variables in detail 2.mp4 20 MB
  2. Variables in detail 2.srt 4.8 KB
  2. While loop 2.mp4 20.2 MB
  2. While loop 2.srt 4.3 KB
  3. Conditional statements 3.mp4 17.1 MB
  3. Conditional statements 3.srt 2.7 KB
  3. DS - Arrays 3.mp4 13.1 MB
  3. DS - Arrays 3.srt 2.1 KB
  3. DS - Data Frame 3.mp4 17.3 MB
  3. DS - Data Frame 3.srt 2.9 KB
  3. DS - Factors 3.mp4 16.2 MB
  3. DS - Factors 3.srt 2.9 KB
  3. DS - Lists 3.mp4 31.1 MB
  3. DS - Lists 3.srt 5.6 KB
  3. DS - Matrices 3.mp4 33.2 MB
  3. DS - Matrices 3.srt 5.3 KB
  3. DS -Vectors 3.mp4 27.2 MB
  3. DS -Vectors 3.srt 3.8 KB
  3. Downloading and Installing the RStudio IDE.mp4 33.8 MB
  3. Downloading and Installing the RStudio IDE.srt 7.1 KB
  3. Functions 3.mp4 38.5 MB
  3. Functions 3.srt 6 KB
  3. Math operations.mp4 62.2 MB
  3. Math operations.srt 10.6 KB
  3. Operators 1.mp4 8.1 MB
  3. Operators 1.srt 1.9 KB
  3. Plotting in R 3.mp4 19.8 MB
  3. Plotting in R 3.srt 3.7 KB
  3. Statistics 3.mp4 30.2 MB
  3. Statistics 3.srt 4.4 KB
  3. Strings 3.mp4 24.7 MB
  3. Strings 3.srt 3.5 KB
  3. Variables in detail 3.mp4 20.1 MB
  3. Variables in detail 3.srt 3.8 KB
  3. While loop 3.mp4 17.3 MB
  3. While loop 3.srt 3.4 KB
  4. Conditional statements 4.mp4 27.4 MB
  4. Conditional statements 4.srt 4.1 KB
  4. DS - Arrays 4.mp4 23.2 MB
  4. DS - Arrays 4.srt 3.8 KB
  4. DS - Data Frame 4.mp4 36.4 MB
  4. DS - Data Frame 4.srt 5.6 KB
  4. DS - Factors 4.mp4 23.2 MB
  4. DS - Factors 4.srt 4.2 KB
  4. DS - Lists 4.mp4 32.8 MB
  4. DS - Lists 4.srt 5.4 KB
  4. DS - Matrices 4.mp4 50.2 MB
  4. DS - Matrices 4.srt 7.7 KB
  4. DS -Vectors 4.mp4 27.5 MB
  4. DS -Vectors 4.srt 3.6 KB
  4. For loop 1.mp4 8.2 MB
  4. For loop 1.srt 1.4 KB
  4. Functions 4.mp4 20.2 MB
  4. Functions 4.srt 3.2 KB
  4. Operators 2.mp4 21.4 MB
  4. Operators 2.srt 3.7 KB
  4. Plotting in R 4.mp4 11.4 MB
  4. Plotting in R 4.srt 2 KB
  4. Setup working directory.mp4 4.4 MB
  4. Setup working directory.srt 1.3 KB
  4. Statistics 4.mp4 29.2 MB
  4. Statistics 4.srt 4 KB
  4. Strings 4.mp4 13.2 MB
  4. Strings 4.srt 1.7 KB
  4. Variables in detail 4.mp4 17.3 MB
  4. Variables in detail 4.srt 3.3 KB
  5. DS - Arrays 5.mp4 26.1 MB
  5. DS - Arrays 5.srt 4.3 KB
  5. DS - Data Frame 5.mp4 21.6 MB
  5. DS - Data Frame 5.srt 3.4 KB
  5. DS - Matrices 5.mp4 15.5 MB
  5. DS - Matrices 5.srt 2.3 KB
  5. DS -Vectors 5.mp4 36.9 MB
  5. DS -Vectors 5.srt 4.8 KB
  5. Data types 1.mp4 12.4 MB
  5. Data types 1.srt 3.1 KB
  5. For loop 2.mp4 11.9 MB
  5. For loop 2.srt 2.7 KB
  5. Functions 5.mp4 46.1 MB
  5. Functions 5.srt 6.5 KB
  5. Lines 1.mp4 1.9 MB
  5. Lines 1.srt 716.8 B
  5. Operators 3.mp4 14.9 MB
  5. Operators 3.srt 2.6 KB
  5. Statistics 5.mp4 21.4 MB
  5. Statistics 5.srt 2.6 KB
  5. Strings 5.mp4 15.3 MB
  5. Strings 5.srt 2 KB
  6. DS - Data Frame 6.mp4 25 MB
  6. DS - Data Frame 6.srt 3.4 KB
  6. DS -Vectors 6.mp4 26.4 MB
  6. DS -Vectors 6.srt 2.8 KB
  6. Data types 2.mp4 19.4 MB
  6. Data types 2.srt 3.8 KB
  6. For loop 3.mp4 33.5 MB
  6. For loop 3.srt 6.2 KB
  6. Lines 2.mp4 19.4 MB
  6. Lines 2.srt 3.4 KB
  6. Operators 4.mp4 15.7 MB
  6. Operators 4.srt 2.6 KB
  6. Strings 6.mp4 10.1 MB
  6. Strings 6.srt 1.4 KB
  7. DS -Vectors 7.mp4 18.4 MB
  7. DS -Vectors 7.srt 2.1 KB
  7. Data types 3.mp4 19.3 MB
  7. Data types 3.srt 2.8 KB
  7. For loop 4.mp4 14.5 MB
  7. For loop 4.srt 2.6 KB
  7. Lines 3.mp4 25.5 MB
  7. Lines 3.srt 3.5 KB
  7. Operators 5.mp4 22.7 MB
  7. Operators 5.srt 3.8 KB
  7. Strings 7.mp4 21.6 MB
  7. Strings 7.srt 2.8 KB
  8. Code hints.mp4 13.1 MB
  8. Code hints.srt 2.5 KB
  8. Pie Charts 1.mp4 2.4 MB
  8. Pie Charts 1.srt 512 B
  9. Pie Charts 2.mp4 18.2 MB
  9. Pie Charts 2.srt 3.4 KB
  Bonus Resources.txt 307.2 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 195 total files

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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