Data Science Fundamentals in R E-Learning Kurs

R for Data Science: Data Structures

Course: 52 Minutes

Course Overview
Creating Vectors
Manipulating Vectors
Sorting Vectors
Using Lists
Creating Matrices
Matrix Operations
Creating Factors
Creating Data Frames
Data Frame Operations
Exercise: Creating and Using a Data Frame

R for Data Science: Importing and Exporting Data

Course: 34 Minutes

Course Overview
Reading from CSV
Reading from Excel
Reading from HTML
Exporting to CSV3
Exporting to Excel
Exporting to HTML
Exercise: Reading and Writing Data

R for Data Science: Data Exploration

Course: 41 Minutes

Course Overview2
Creating dplyr Tables
Selecting Subsets
Filtering Tabular Data
Piping Data
Mutating Data
Summarizing Data
Combining Datasets
Grouping Data
Exercise: Querying Data

R for Data Science: Regression Methods

Course: 37 Minutes

Course Overview
Linear Data Preparation
Creating Linear Models
Interpreting Model Output
Using Linear Prediction
Logistic Data Preparation
Using glm
Exercise: Creating a Linear Model

R for Data Science: Classification & Clustering

Course: 39 Minutes

Course Overview
Preparing Data for Classification
Using rpart
Using ctree
Preparing Data for Clustering
Using K-Means Clustering
Using Hierarchical Clustering
Exercise: Creating a Decision Tree

R for Data Science: Data Visualization

Course: 33 Minutes

Course Overview2 Minutes
Using Scatter Plots
Using Line Graphs
Using Bar Charts
Using Box and Whisker Plots
Using Histograms
Using a Bubble Plot
Exercise: Data Visualization