English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 79 lectures (10h 36m) | 4.84 GB

Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2

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 step-by-step. 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 real-life 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

## Table of Contents

**Hit The Ground Running**

1 Welcome to the R Programming Course

2 Updates on Udemy Reviews

3 Installing R and R Studio MAC & Windows

4 Exercise Get Excited

5 Get the Datasets here

6 Extra Resources

**Core Programming Principles**

7 Welcome to this section This is what you will learn

8 Types of variables

9 Using Variables

10 Logical Variables and Operators

11 The While Loop

12 Using the console

13 The For Loop

14 The If statement

15 Section Recap

16 HOMEWORK Law of Large Numbers

**Fundamentals Of R**

17 Welcome to this section This is what you will learn

18 What is a Vector

19 Lets create some vectors

20 Using the brackets

21 Vectorized operations

22 The power of vectorized operations

23 Functions in R

24 Packages in R

25 Section Recap

26 HOMEWORK Financial Statement Analysis

**Matrices**

27 Welcome to this section This is what you will learn

28 Project Brief Basketball Trends

29 Matrices

30 Building Your First Matrix

31 Naming Dimensions

32 Colnames and Rownames

33 Matrix Operations

34 Visualizing With Matplot

35 Subsetting

36 Visualizing Subsets

37 Creating Your First Function

38 Basketball Insights

39 Section Recap

40 HOMEWORK Basketball Free Throws

**Data Frames**

41 Welcome to this section This is what you will learn

42 Project Brief Demographic Analysis

43 Importing data into R

44 Exploring your dataset

45 Using the sign

46 Basic operations with a Data Frame

47 Filtering a Data Frame

48 Introduction to qplot

49 Visualizing With Qplot Part I

50 Building Dataframes

51 Merging Data Frames

52 Visualizing With Qplot Part II

53 Section Recap

54 HOMEWORK World Trends

**Advanced Visualization With GGPlot2**

55 Welcome to this section This is what you will learn

56 Project Brief Movie Ratings

57 Grammar Of Graphics GGPlot2

58 What is a Factor

59 Aesthetics

60 Plotting With Layers

61 Overriding Aesthetics

62 Mapping vs Setting

63 Histograms and Density Charts

64 Starting Layer Tips

65 Statistical Transformations

66 Using Facets

67 Coordinates

68 Perfecting By Adding Themes

69 Section Recap

70 HOMEWORK Movie Domestic Gross

**Homework Solutions**

71 Homework Solution Section 2 Law Of Large Numbers

72 Homework Solution Section 3 Financial Statement Analysis

73 Homework Solution Section 4 Basketball Free Throws

74 Homework Solution Section 5 World Trends

75 Homework Solution Section 6 Movie Domestic Gross Part 1

76 Homework Solution Section 6 Movie Domestic Gross Part 2

77 THANK YOU bonus video

**Bonus Tutorials**

78 BoxPlots

79 YOUR SPECIAL BONUS

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