R Programming AZ™: R For Data Science With Real Exercises!
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Learn R Programming by doing!
There are lots of R courses and lectures out there. However, R has a very steep learning curve and students often get overwhelmed. This course is different!
This course is truly stepbystep. In every new tutorial we build on what had already learned and move one extra step forward.
After every video, you learn a new valuable concept that you can apply right away. And the best part is that you learn through live examples.
This training is packed with reallife analytical challenges which you will learn to solve. Some of these we will solve together, some you will have as homework exercises.
In summary, this course has been designed for all skill levels and even if you have no programming or statistical background you will be successful in this course!
I can’t wait to see you in class,
What you will learn:

Learn how to use R Studio

Learn the core principles of programming

Learn how to create vectors in R

Learn how to create variables

Learn about integer, double, logical, character, and other types in R

Learn how to create a while() loop and a for() loop in R

Learn how to build and use matrices in R

Learn the matrix() function, learn rbind() and cbind()

Learn how to install packages in R
Sincerely,
Kirill Eremenko

18Welcome to this section. This is what you will learn!

19What is a Vector?

20Let's create some vectors

21Using the [] brackets

22Vectorized operations

23The power of vectorized operations

24Functions in R

25Packages in R

26Section Recap

27HOMEWORK: Financial Statement Analysis

28Fundamentals of R

29Welcome to this section. This is what you will learn!

30Project Brief: Basketball Trends

31Matrices

32Building Your First Matrix

33Naming Dimensions

34Colnames() and Rownames()

35Matrix Operations

36Visualizing With Matplot()

37Subsetting

38Visualizing Subsets

39Creating Your First Function

40Basketball Insights

41Section Recap

42HOMEWORK: Basketball Free Throws

43Matrices

44Welcome to this section. This is what you will learn!

45Project Brief: Demographic Analysis

46Importing data into R

47Exploring your dataset

48Using the $ sign

49Basic operations with a Data Frame

50Filtering a Data Frame

51Introduction to qplot

52Visualizing With Qplot: Part I

53Building Dataframes

54Merging Data Frames

55Visualizing With Qplot: Part II

56Section Recap

57HOMEWORK: World Trends

58Data Frames

59Welcome to this section. This is what you will learn!

60Project Brief: Movie Ratings

61Grammar Of Graphics  GGPlot2

62What is a Factor?

63Aesthetics

64Plotting With Layers

65Overriding Aesthetics

66Mapping vs Setting

67Histograms and Density Charts

68Starting Layer Tips

69Statistical Transformations

70Using Facets

71Coordinates

72Perfecting By Adding Themes

73Section Recap

74HOMEWORK: Movie Domestic % Gross

75Advanced Visualization With GGPlot2

76Homework Solution Section 2: Law Of Large Numbers

77Homework Solution Section 3: Financial Statement Analysis

78Homework Solution Section 4: Basketball Free Throws

79Homework Solution Section 5: World Trends

80Homework Solution Section 6: Movie Domestic % Gross (Part 1)

81Homework Solution Section 6: Movie Domestic % Gross (Part 2)

82THANK YOU Video