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R Programming – R Language for Absolute Beginners

سرفصل های دوره

R Programming course suitable for everyone, no coding experience or a statistics background needed


1 - Course Intro
  • 1 - Course Material.txt
  • 1 - DareData Website.txt
  • 1 - Ivos Github.txt
  • 1 - LinkedIn Ivo.txt
  • 1 - Welcome
  • 2 - Course Materials.html

  • 2 - Installing R and R Studio
  • 1 - Basic Questions about R.html
  • 3 - Installing R
  • 3 - Installing R on WindowsMacUbuntu.txt
  • 3 - R Download Hyperlink.txt
  • 3 - R Mac Os Download.txt
  • 4 - Installing R Studio
  • 4 - Installing R on Mac.txt
  • 4 - R Studio Download Link.txt

  • 3 - Introduction Basic Operations in R
  • 2 - R as a Calculator Quiz.html
  • 5 - Link to slides.txt
  • 5 - Slides R as a Calculator and Vectors
  • 6 - Course Scripts.txt
  • 6 - Using R as a Calculator Simple Calculations
  • 7 - Using R as a Calculator Functions
  • 8 - Practical Exercises Time to test your skills.html
  • 9 - Link to Exercise Solutions.html

  • 4 - Vectors and the Environment
  • 3 - R Vectors and the Environment.html
  • 10 - Creating Vectors and Knowing the Environment
  • 11 - Vector Indexing and Slicing
  • 12 - Calculations with Vectors
  • 13 - More Functions and Dealing with Unexpected Values
  • 14 - Comparison Operators
  • 15 - Vectors Names Property
  • 16 - Modifying Vector Elements
  • 17 - Comparing R with Excel and SQL
  • 18 - Link to Solutions.txt
  • 18 - TUTORIAL Completing and Debugging Coding Exercises on Udemy Platform
  • 19 - Practical Exercises Time to test your skills on Vectors.html

  • 5 - R Data Types
  • 4 - R Data Types.html
  • 20 - Link to slides.txt
  • 20 - Slides R Data Types
  • 21 - Underlying Data Types and Types at the Class Level
  • 22 - Checking Data Types of Objects
  • 23 - Converting Data Types
  • 24 - Introduction to Factors
  • 25 - Dealing with Dates
  • 25 - R Date Formats.txt
  • 26 - Practical Exercises Time to test your skills on Data Types.html

  • 6 - R Arrays
  • 5 - Arrays Quiz.html
  • 27 - Link to slides.txt
  • 27 - Slides Arrays and Matrices
  • 28 - Creating Arrays
  • 29 - Indexing and Modifying Arrays
  • 30 - Array Operations
  • 31 - Array Dimnames Property
  • 32 - Combining Arrays
  • 33 - Practical Exercises Time to test your skills on Arrays.html

  • 7 - R Matrices
  • 6 - Matrices Quiz.html
  • 34 - Creating Matrices
  • 35 - Matrix Operations
  • 36 - Practical Exercises Time to test your skills on Matrices.html

  • 8 - Data Frames Introduction
  • 7 - Data Frames Questions.html
  • 37 - Link to slides.txt
  • 37 - Slides Data Frames & Lists
  • 38 - Creating a Data Frame
  • 39 - Indexing and Modifying Data Frames
  • 40 - Expanding Data Frames
  • 41 - Removing Elements from Data Frames

  • 9 - R Lists
  • 8 - Lists Questions.html
  • 42 - Creating Lists
  • 43 - List Indexing
  • 44 - Changing and Adding elements to Lists
  • 45 - Deleting List Elements
  • 46 - Combining Lists
  • 47 - Practical Exercises Time to test your skills on Lists.html

  • 10 - Course Break
  • 48 - Course Break

  • 11 - Libraries
  • 49 - Installing Libraries
  • 50 - Loading Libraries

  • 12 - Working with Data Frames
  • 10 - Working with Data Frames Questions.html
  • 51 - Introduction
  • 52 - Inspecting Data Frames
  • 53 - Filtering Data Frames
  • 54 - Creating New Columns in a Data Frame
  • 55 - Apply Family
  • 56 - New Column with Sapply
  • 57 - Aggregating and Sorting
  • 58 - Merging Data Frames
  • 59 - Extra Merging Data Frames using a SQLLike Library
  • 60 - Plotting Overview Base R
  • 60 - R Colors Cheatsheet.txt
  • 61 - GGPlot 2 Overview
  • 62 - Practical Exercises Time to test your skills on manipulating Data Frames.html

  • 13 - Loading External Data
  • 63 - Exploring Working Directories
  • 64 - Loading CSV Files
  • 65 - Loading Excel xlsxlsx Files
  • 66 - Loading data from a MySQL Database

  • 14 - Real World Data Frame Analysis Walmart Data
  • 67 - Introduction
  • 68 - Loading the Data
  • 69 - Extracting the Number of Rows
  • 70 - Checking the First Rows
  • 71 - Counting Rows by Store
  • 72 - Converting to a Data Frame
  • 73 - Extracting the Store with most Rows
  • 74 - Summing up the Total Sales by Store
  • 75 - Modifying Column Names
  • 76 - Plotting Total Sales per Store
  • 77 - Extracting the Mean of every Column
  • 78 - Creating a New Column
  • 79 - Plotting the Sales by Date for a Specific Store
  • 80 - Using Ggplot to Enhance the Sales Plot
  • 81 - Plotting the Sales By Date for Multiple Departments

  • 15 - Working with Excel Files
  • 82 - Reading the Crime Data Excel File
  • 83 - Setting Column Names
  • 84 - Building a Pipeline and Dropping Null Values
  • 85 - Preparing Row Names
  • 86 - Drop Columns
  • 87 - Convert Data to Numeric
  • 88 - Assigning Row Names
  • 89 - Automating Column Selection
  • 90 - Hardcoded Selection vs Automated Rule Based Selection
  • 91 - Aggregating Data and Bar Plotting
  • 92 - Creating a Data Pipeline Exercise.html

  • 16 - Functions
  • 11 - Functions Questions.html
  • 93 - Functions Intro
  • 94 - Functions Arguments
  • 95 - Functions Control Flow Loops
  • 96 - Functions Control Flow If Statements
  • 97 - Functions Control Flow While Loops
  • 98 - Functions Working with Data 1
  • 99 - Functions Working with Data 2

  • 17 - Statistics Overview
  • 100 - Visualizing Data Distributions
  • 101 - Mean and Median
  • 102 - Mode
  • 103 - Comparing Distributions
  • 104 - Spread of a Data Distribution
  • 105 - Boxplots
  • 105 - Box Plot Explanation.txt
  • 106 - Detailed Feedback.html

  • 18 - Course Preview R For Data Science
  • 107 - R for Data Science Course Preview
  • 108 - Training a Linear Regression Using R
  • 109 - Training a Decision Tree using R

  • 19 - Course Ending
  • 110 - Where to go from here Learning Paths after Learning R
  • 111 - Bonus Section Other Courses and Resources.html
  • 112 - Final Notes
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    تاریخ انتشار: ۴ تیر ۱۴۰۲
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