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Премиум
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    Introduction to Course
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    Course Curriculum
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    What is Data Science?
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    Windows Installation Procedure
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    Mac OS Installation Procedure
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    Development Environment Overview
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    Course Notes
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    Guide to RStudio
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    Introduction to R Basics
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    Arithmetic in R
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    Variables
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    R Basic Data Types
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    Vector Basics
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    Vector Operations
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    Vector Indexing and Slicing
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    Getting Help with R and RStudio
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    Comparison Operators
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    R Basics Training Exercise
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    R Basics Training Exercise - Solutions Walkthrough
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    Introduction to R Matrices
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    Creating a Matrix
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    Matrix Arithmetic
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    Matrix Operations
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    Matrix Selection and Indexing
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    Factor and Categorical Matrices
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    Matrix Training Exercise
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    Matrix Training Exercises - Solutions Walkthrough
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    Introduction to R Data Frames
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    Data Frame Basics
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    Data Frame Indexing and Selection
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    Overview of Data Frame Operations - Part 1
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    Overview of Data Frame Operations - Part 2
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    Data Frame Training Exercise
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    Data Frame Training Exercises - Solutions Walkthrough
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    List Basics
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    Introduction to Data Input and Output with R
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    CSV Files with R
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    Excel Files with R
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    SQL with R
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    Web Scraping with R
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    Introduction to Programming Basics
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    Logical Operators
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    if, else, and else if Statements
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    Conditional Statements Training Exercise
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    Conditional Statements Training Exercise - Solutions Walkthrough
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    While Loops
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    For Loops
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    Functions
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    Functions Training Exercise
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    Functions Training Exercise - Solutions
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    Introduction to Advanced R Programming
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    Built-in R Features
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    Apply
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    Math Functions with R
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    Regular Expressions
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    Dates and Timestamps
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    Data Manipulation Overview
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    Guide to Using Dplyr
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    Guide to Using Dplyr - Part 2
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    Pipe Operator
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    Dplyr Training Exercise
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    Dplyr Training Exercise - Solutions Walkthrough
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    Guide to Using Tidyr
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    Overview of ggplot2
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    Histograms
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    Scatterplots
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    Barplots
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    Boxplots
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    2 Variable Plotting
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    Coordinates and Faceting
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    Themes
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    ggplot2 Exercises
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    ggplot2 Exercise Solutions
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    Data Visualization Project
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    Data Visualization Project - Solutions Walkthrough - Part 1
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    Data Visualization Project Solutions Walkthrough - Part 2
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    Overview of Plotly and Interactive Visualizations
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    Introduction to Capstone Project
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    Capstone Project Solutions Walkthrough
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    Introduction to Machine Learning
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    Introduction to Linear Regression
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    Linear Regression with R - Part 1
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    Linear Regression with R - Part 2
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    Linear Regression with R - Part 3
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    Introduction to Linear Regression Project
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    ML - Linear Regression Project - Solutions Part 1
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    ML - Linear Regression Project - Solutions Part 2
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    Introduction to Logistic Regression
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    Logistic Regression with R - Part 1
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    Logistic Regression with R - Part 2
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    Introduction to Logistic Regression Project
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    Logistic Regression Project Solutions - Part 1
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    Logistic Regression Project Solutions - Part 2
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    Logistic Regression Project - Solutions Part 3
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    Introduction to K Nearest Neighbors
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    K Nearest Neighbors with R
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    Introduction K Nearest Neighbors Project
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    K Nearest Neighbors Project Solutions
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    Introduction to Tree Methods
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    Decision Trees and Random Forests with R
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    Introduction to Decision Trees and Random Forests Project
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    Tree Methods Project Solutions - Part 1
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    Tree Methods Project Solutions - Part 2
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    Introduction to Support Vector Machines
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    Support Vector Machines with R
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    Introduction to SVM Project
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    Support Vector Machines Project - Solutions Part 1
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    Support Vector Machines Project - Solutions Part 2
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    Introduction to K-Means Clustering
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    K Means Clustering with R
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    Introduction to K Means Clustering Project
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    K Means Clustering Project - Solutions Walkthrough
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    Introduction to Natural Language Processing
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    Natural Language Processing with R - Part 1
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    Natural Language Processing with R - Part 2
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    Introduction to Neural Nets
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    Neural Nets with R
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    Introduction to Neural Nets Project
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    Neural Nets Project - Solutions