R Programming A-Z™ R For Data Science With Real Exercises!

R Programming A-Z™ R For Data Science With Real Exercises!
R Programming A-Z™ R For Data Science With Real Exercises!

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

Created by Kirill Eremenko, SuperDataScience Team
Language English
01 Hit The Ground Running
  • 001 Welcome to the R Programming Course 00:05:47
  • 002 Updates on Udemy Reviews 00:02:44
  • 003 Installing R and R Studio (MAC Windows) 00:07:02
  • 004 BONUS Learning Paths .html
  • 005 Exercise - Get Excited 00:07:58
  • 006 BONUS Using R in The Real World .html
  • 007 Some Additional Resources .html
02 Core Programming Principles
  • 008 Welcome to this section. This is what you will learn 00:01:11
  • 009 Types of variables 00:10:10
  • 010 Using Variables.mp4 .part
  • 011 Logical Variables and Operators 00:07:42
  • 012 The While Loop 00:07:33
  • 013 Using the console 00:04:04
  • 014 The For Loop 00:05:29
  • 015 The If statement 00:12:15
  • 016 Section Recap 00:05:22
03 Fundamentals Of R
  • 018 Welcome to this section. This is what you will learn 00:01:04
  • 019 What is a Vector 00:04:17
  • 020 Lets create some vectors 00:13:12
  • 021 Using the [] brackets 00:10:31
  • 022 Vectorized operations 00:05:49
  • 023 The power of vectorized operations 00:16:22
  • 024 Functions in R 00:17:58
  • 025 Packages in R 00:09:19
  • 026 Section Recap 00:06:19
  • 027 HOMEWORK Financial Statement Analysis 00:07:42
04 Matrices
  • 028 Welcome to this section. This is what you will learn 00:01:10
  • 029 Project Brief Basketball Trends 00:09:22
  • 030 Matrices 00:06:30
  • 031 Building Your First Matrix 00:13:41
  • 032 Naming Dimensions 00:03:34
  • 033 Colnames() and Rownames() 00:10:02
  • 034 Matrix Operations 00:06:12
  • 035 Visualizing With Matplot() 00:11:42
  • 036 Subsetting 00:09:20
  • 037 Visualizing Subsets 00:04:13
  • 038 Creating Your First Function 00:08:47
  • 039 Basketball Insights 00:12:38
  • 040 Section Recap 00:06:04
  • 041 HOMEWORK Basketball Free Throws 00:07:13
05 Data Frames
  • 042 Welcome to this section. This is what you will learn 00:01:47
  • 043 Project Brief Demographic Analysis 00:04:16
  • 044 Importing data into R 00:05:52
  • 046 Using the sign 00:06:23
  • 047 Basic operations with a Data Frame 00:09:47
  • 048 Filtering a Data Frame.mp4 .part
  • 049 Introduction to qplot 00:09:09
  • 050 Visualizing With Qplot Part I 00:06:22
  • 051 Building Dataframes 00:10:02
  • 052 Merging Data Frames 00:07:38
  • 053 Visualizing With Qplot Part II 00:06:50
  • 054 Section Recap 00:07:19
  • 055 HOMEWORK World Trends 00:06:16
06 Advanced Visualization With GGPlot2
  • 056 Welcome to this section. This is what you will learn 00:01:23
  • 057 Project Brief Movie Ratings 00:04:02
  • 058 Grammar Of Graphics - GGPlot2 00:11:26
  • 059 What is a Factor.mp4 .part
  • 060 Aesthetics 00:06:54
  • 061 Plotting With Layers 00:05:18
  • 062 Overriding Aesthetics 00:07:49
  • 063 Mapping vs Setting 00:08:09
  • 064 Histograms and Density Charts 00:07:08
  • 065 Starting Layer Tips 00:08:41
  • 066 Statistical Transformations 00:10:38
  • 067 Using Facets 00:09:30
  • 068 Coordinates.mp4 .part
  • 069 Perfecting By Adding Themes 00:11:04
  • 070 Section Recap 00:09:50
  • 071 HOMEWORK Movie Domestic Gross 00:07:05
07 Homework Solutions
  • 072 Homework Solution Section 2 Law Of Large Numbers 00:12:01
  • 073 Homework Solution Section 3 Financial Statement Analysis 00:18:35
  • 074 Homework Solution Section 4 Basketball Free Throws 00:16:11
  • 075 Homework Solution Section 5 World Trends 00:16:30
  • 076 Homework Solution Section 6 Movie Domestic Gross (Part 1) 00:11:41
  • 077 Homework Solution Section 6 Movie Domestic Gross (Part 2) 00:11:09
  • 078 THANK YOU bonus video 00:02:40
08 Bonus Tutorials
  • 079 BoxPlots 00:13:33
  • 080 YOUR SPECIAL BONUS .html