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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تولید کننده: Udemy-Training