English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 10.5 Hours | 2.74 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!
What you’ll learn
- Learn to program in R at a good level
- 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
- Learn how to customize R studio to suit your preferences
- Understand the Law of Large Numbers
- Understand the Normal distribution
- Practice working with statistical data in R
- Practice working with financial data in R
- Practice working with sports data in R
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 Some Additional Resources!!
Core Programming Principles
6 Welcome to this section. This is what you will learn!
7 HOMEWORK Law of Large Numbers
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
Fundamentals Of R
16 Welcome to this section. This is what you will learn!
17 HOMEWORK Financial Statement Analysis
18 What is a Vector
19 Let’s 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 Welcome to this section. This is what you will learn!
27 Visualizing Subsets
28 Creating Your First Function
29 Basketball Insights
30 Section Recap
31 HOMEWORK Basketball Free Throws
32 Project Brief Basketball Trends
34 Building Your First Matrix
35 Naming Dimensions
36 Colnames() and Rownames()
37 Matrix Operations
38 Visualizing With Matplot()
40 Welcome to this section. This is what you will learn!
41 Building Dataframes
42 Merging Data Frames
43 Visualizing With Qplot Part II
44 Section Recap
45 HOMEWORK World Trends
46 Project Brief Demographic Analysis
47 Importing data into R
48 Exploring your dataset
49 Using the $ sign
50 Basic operations with a Data Frame
51 Filtering a Data Frame
52 Introduction to qplot
53 Visualizing With Qplot Part I
Advanced Visualization With GGPlot2
54 Welcome to this section. This is what you will learn!
55 Starting Layer Tips
56 Statistical Transformations
57 Using Facets
59 Perfecting By Adding Themes
60 Section Recap
61 HOMEWORK Movie Domestic % Gross
62 Project Brief Movie Ratings
63 Grammar Of Graphics – GGPlot2
64 What is a Factor
66 Plotting With Layers
67 Overriding Aesthetics
68 Mapping vs Setting
69 Histograms and Density Charts
70 Homework Solution Section 2 Law Of Large Numbers
71 Homework Solution Section 3 Financial Statement Analysis
72 Homework Solution Section 4 Basketball Free Throws
73 Homework Solution Section 5 World Trends
74 Homework Solution Section 6 Movie Domestic % Gross (Part 1)
75 Homework Solution Section 6 Movie Domestic % Gross (Part 2)
77 YOUR SPECIAL BONUS