آموزش تخصصی برنامه نویسی R برای علم داده

R Programming Hands-on Specialization for Data Science (Lv1)Publisher: UdemyAuthor: Irfan ElahiDuration: 10:59:42Link:https://www.udemy.com/r-programming-data-science-hands-on-course/An in-depth course on R language with real-world Data Science examples to supercharge your R data analysis skillsR is considered as lingua franca of Data Science. Candidates with expertise in R programming language are in exceedingly high demand and paid lucratively in Data Science. IEEE has repeatedly ranked R as one of the top and most popular Programming Languages. Almost every Data Science and Machine Learning job posted globally mentions the requirement for R language proficiency. All the top ranked universities like MIT have included R in their respective Data Science courses curriculum.

Introduction
3 Lectures
21:16
Warm Welcome!
Preview
03:21
Why you should learn R?
10:26
What you will learn in this course?
07:29

R Fundamentals
4 Lectures
28:45
How to install R (console) and RStudio (IDE) to get started with R language.
Installing R (console) and RStudio (IDE)
07:26
Getting to know R - Setting Context
02:19
R Basics - Working Directory, Environment Variables and more!
13:13
R Basics - Loading and Executing R scripts from local file system
05:47
Handling Working Directory
1 question

R Data Types
7 Lectures
46:13
R Atomic Data Types Intro - What you must know about Numeric and Integers in R?
09:45
Complex and Character Data Types (Atomic)
05:43
Character Data Type (Atomic) + Important Data Transformation Functions (1)
04:55
Character Data Type (Atomic) + Important Data Transformation Functions (2)
03:52
Character Data Type (Atomic) + Important Data Transformation Functions (3)
07:55
Logical Data Type (Atomic) and Its known Implications
04:30
Atomic Data Types and Nuances in Coercioning (Explicit/Implicit)
09:33
Data Types Coercions
1 question

R Data Structure - Vectors
7 Lectures
59:11
Vectors - Creation, Homogeneity, Coercion Implications and Important Functions!
12:47
Vectors - Comparing different ways to create vectors in R!
05:36
Vectors - Understanding Indexing like never before!
10:12
Vectors - Indexing (Out of Bound scenarios) and How Pros use it!
10:25
Vectors - Flatness property and its critical implications in Indexing!
Preview
05:45
Vectors - Labels and their Advanced Usage in Indexing
08:53
Vectors - Assigning Attributes and its use-case as Metadata
05:33
Indexing Vectors
1 question

R Data Structure - Matrices
8 Lectures
01:00:07
Matrices - Getting Acquainted, Creation and its operational functions!
11:21
Matrices - Creation and Implications related to its Dimensions
06:51
Matrices - Creation from Vectors + Naming Dimensions (Explicit, Implicit)
Preview
14:29
Matrices - Dimensions (Advanced) and Intro to Indexing
04:25
Matrices - Indexing Continued
03:46
Matrices - Advanced Indexing using DimensionNames
04:47
Matrices - Even more Advanced Indexing!
07:40
Matrices - Operations!
06:48

R Data Structure - Lists
8 Lectures
46:49
Lists - Getting Introduced to one of the most powerful data structures in R
06:52
Lists - Comparing with Vectors w.r.t Heterogeneity and Introducing Indexing
05:11
Lists - Comprehending their Recursive Nature in comparison with Vectors
03:49
Lists - Converting to and from Vectors and implications (coercion, flatness)
Preview
05:14
Lists - Nuances in Determining Length in the context of Recursiveness
04:21
Lists - Nuances in Determining Length and Class of Elements
06:37
List - Advanced Indexing also using Labels
09:04
List - Comparison of Indexing ways and Implications
05:41

R Data Structure - Data Frames
9 Lectures
01:31:35
Data Frames - Introducing The holy grail of processing Structured Data
09:41
Data Frames - Creation and important functions for Basic Exploratory Analysis
13:40
Data Frames - More Important Functions for Basic Exploratory Analysis
09:35
Data Frames - Creation from Lists
02:18
Data Frames - Creation from Lists, Matrices and Vectors
03:28
Data Frames - Everything you need to know about Subsetting
15:43
Data Frames - Handling Missing Values like Pros!
10:27
Data Frames - Imputing Missing Values like Pros!
14:01
Data Frames - Advanced Subsetting Techniques for robust analytics
12:42

R Control Structures
5 Lectures
36:00
While Loops in R
05:33
For Loops in R - Intro and Practical Use-Cases
11:48
If Else Structures in R
04:45
If Else Structures in R (2)
10:25
If Else Structures in R (3)
03:29

Data Science Application in R - Automated Web Scraping Bot
36 Lectures
04:29:46
Web Scraping - Setting Context + Highlighting Use-Cases
13:16
Web Scraping - One Simple yet Powerful Way to do so!
12:14
Web Scraping - Use Case: Custom Churn Analysis
08:56
Use Case: Custom Churn - Performing Data Munging and Transformations
08:49
Use Case: Custom Churn - Performing Data Munging and Transformations
12:57
Use Case: Custom Churn - Performing Data Cleansing
Preview
11:18
Web Scraping - Contextual understanding of HTML
03:17
Web Scraping - Contextual Understanding of HTML Tags
11:04
Web Scraping - How to exploit the Structure of Web Page for Efficient Scraping
06:17
Web Scraping - Contextual Understanding of HTML Document Object Model (DOM)
06:17
Web Scraping on Steroids - XPath in R!
08:29
Web Scraping on Steroids - XPath in R (2)
01:00
Web Scraping using XPath - Programmatic Extraction of Data from HTML Tags
05:19
Web Scraping using XPath - Programmatic Extraction of Data from HTML Tags (2)
03:11
Automating Web Scraping - RSelenium!
05:21
Automated Web Scraping - Contextual Understanding of Selenium Components
06:10
Automated Web Scraping - installing RSelenium in R
05:01
Automated Web Scraping - Initialising RSelenium Server
05:40
Automated Web Scraping - Connecting to RSelenium Server using Reference Class
09:07
Automated Web Scraping - Navigating and Sending Key Strokes in Web Pages
11:13
Web Scraping Use Case Context Setting
06:20
Web Scraping Pipeline - Deep dive of workflow pattern
07:42
Systematic analysis of website for efficient Scraping
05:55
04:36
Starting Selenium Server - The right way!
05:40
Handling RSelenium's Driver Issues
01:48
Launching Selenium Server jar with correct driver settings (part 2)
03:50
Web Scraper Program Initialisation and Remote Driver Object Instantiation
06:34
Navigating web pages using RSelenium and Using Xpath for data extraction
10:01
Using R's Apply Family of Functions for Data Extraction from RSelenium Objects
05:49
Advanced Data Munging using R Regex and String Processing Functions
08:13
Advanced Data Munging using R Regex and String processing functions (II)
03:39
Advanced Data Munging - Discretizing Continuous Values
09:07
11:54
Orchestrating Automation of Web Scraping Routine
07:41
Advanced Statistical Analysis and Visualisation for Informed Decision Making
16:01

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