Udemy - R Programming for Data Science - From Basics to Advanced

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here ! 1 - Introduction to R Programming
• 1 - Basics Of R Programming.mp4 (35.9 MB)
• 2 - Installing R And Contributed Packages.mp4 (25.2 MB)
• 3 - Working With Rstudio.mp4 (36.8 MB)
2 - Working with Data Structures
• 1 - Numerical Arithmetic And Vectors.mp4 (31.7 MB)
• 2 - Vector-Oriented Behavior.mp4 (30.0 MB)
• 3 - Introduction To Matrices And Arrays.mp4 (24.9 MB)
• 4 - Advanced Operations With Matrices And Arrays.mp4 (20.9 MB)
• 5 - Logical Operators In R.mp4 (27.6 MB)
• 6 - Data Manipulation With Factors.mp4 (26.9 MB)
• 7 - Lists And Data Frames In R.mp4 (23.0 MB)
• 8 - Creation And Manipulation Of Data Frames.mp4 (29.0 MB)
3 - Understanding R Fundamentals
• 1 - Special Values In R.mp4 (24.9 MB)
• 10 - Progress Tracking And Timing In R.mp4 (23.1 MB)
• 2 - Object Classes And Coercion In R.mp4 (22.8 MB)
• 3 - Understanding Environments.mp4 (24.7 MB)
• 4 - Argument-Matching Rules.mp4 (23.8 MB)
• 5 - Control Flow Mechanisms.mp4 (22.1 MB)
• 6 - Advanced Looping Techniques.mp4 (17.1 MB)
• 7 - Writing Functions Overview.mp4 (20.1 MB)
• 8 - Specialized Functions Implementation.mp4 (29.3 MB)
• 9 - Exception Handling In R.mp4 (14.1 MB)
4 - Data Input and Management
• 1 - Reading And Writing Files.mp4 (19.4 MB)
• 2 - Built-In Datasets.mp4 (25.5 MB)
5 - Data Visualization in R
• 1 - Basics Of Plotting In R.mp4 (31.7 MB)
• 2 - Using Ggplot2 For Data Visualization.mp4 (28.6 MB)
• 3 - Advanced Data Visualization Techniques.mp4 (29.1 MB)
• 4 - Data Visualization Techniques.mp4 (33.3 MB)
• 5 - Advanced Scatterplot Analysis.mp4 (32.9 MB)
• 6 - Advanced Plot Customization In R Graphics.mp4 (37.9 MB)
• 7 - Going Further With The Grammar Of Graphics.mp4 (28.2 MB)
• 8 - Understanding Colors And Plots In R.mp4 (32.5 MB)
• 9 - Interactive 3D Plotting In R.mp4 (30.6 MB)
6 - Statistics and Probability
• 1 - Statistics And Data Analysis.mp4 (33.5 MB)
• 10 - Testing Means.mp4 (25.2 MB)
• 11 - One-Way Anova Concepts.mp4 (23.4 MB)
• 12 - Two-Way Anova Concepts.mp4 (29.6 MB)
• 2 - Measures Of Centrality And Variation.mp4 (28.0 MB)
• 3 - Introduction To Probability Concepts.mp4 (39.2 MB)
• 4 - Understanding Random Variables And Distributions.mp4 (32.8 MB)
• 5 - Common Probability Distributions.mp4 (27.5 MB)
• 6 - Advanced Probabilistic Techniques.mp4 (32.4 MB)
• 7 - Sampling Distributions And Confidence Intervals.mp4 (34.3 MB)
• 8 - Constructing Confidence Intervals.mp4 (33.1 MB)
• 9 - Components Of Hypothesis Testing.mp4 (28.3 MB)
7 - Regression and Modeling
• 1 - Overview Of Simple Linear Regression.mp4 (18.3 MB)
• 2 - Understanding Categorical Predictors In Regression Models.mp4 (23.1 MB)
• 3 - Theory Of Multiple Regression.mp4 (30.2 MB)
• 4 - Higher-Order Interactions.mp4 (32.7 MB)
• 5 - Linear Regression Fundamentals.mp4 (21.4 MB)
• 6 - Diagnostic Methods For Model Validation.mp4 (21.1 MB)
8 - Final Overview
• 1 - Comprehensive Guide To R Programming.mp4 (6.5 MB)
• Bonus Resources.txt (0.1 KB)