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Data Science and Machine Learning Bootcamp with R by Udemy

Learn how to use the R programming language for data science and machine learning and data visualization!

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Course Highlights

Program in R
Use R for Data Analysis
Create Data Visualizations
Use R to handle csv,excel,SQL files or web scraping
Use R to manipulate data easily
Use R for Machine Learning Algorithms
Use R for Data Science

Skills you will learn!

DevelopmentData ScienceMachine Learning

Curriculum

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4 Topics

Introduction to Course

Course Curriculum

What is Data Science?

Course FAQ

3 Topics

How to Get Help in the Course!

Welcome to the Course.

Installation and Set-Up

1 Topic

Windows Installation Procedure

1 Topic

Mac OS Installation Procedure

1 Topic

Linux/Unbuntu Installation Procedure

3 Topics

Development Environment Overview

Course Notes

Guide to RStudio

11 Topics

Introduction to R Basics

Arithmetic in R

Variables

R Basic Data Types

Vector Basics

Vector Operations

Comparison Operators

Vector Indexing and Slicing

Getting Help with R and RStudio

R Basics Training Exercise

R Basics Training Exercise - Solutions Walkthrough

8 Topics

Introduction to R Matrices

Creating a Matrix

Matrix Arithmetic

Matrix Operations

Matrix Selection and Indexing

Factor and Categorical Matrices

Matrix Training Exercise

Matrix Training Exercises - Solutions Walkthrough

7 Topics

Introduction to R Data Frames

Data Frame Basics

Data Frame Indexing and Selection

Overview of Data Frame Operations - Part 1

Overview of Data Frame Operations - Part 2

Data Frame Training Exercise

Data Frame Training Exercises - Solutions Walkthrough

1 Topic

List Basics

6 Topics

Introduction to Data Input and Output with R

CSV Files with R

Note on R with Excel Download

Excel Files with R

SQL with R

Web Scraping with R

10 Topics

Introduction to Programming Basics

Logical Operators

if else and else if Statements

Conditional Statements Training Exercise

Conditional Statements Training Exercise - Solutions Walkthrough

While Loops

For Loops

Functions

Functions Training Exercise

Functions Training Exercise - Solutions

6 Topics

Introduction to Advanced R Programming

Built-in R Features

Apply

Math Functions with R

Regular Expressions

Dates and Timestamps

8 Topics

Data Manipulation Overview

Guide to Using Dplyr

Guide to Using Dplyr - Part 2

Pipe Operator

Quick note on Dpylr exercise

Dplyr Training Exercise

Dplyr Training Exercise - Solutions Walkthrough

Guide to Using Tidyr

10 Topics

Overview of ggplot2

Histograms

Scatterplots

Barplots

Boxplots

2 Variable Plotting

Coordinates and Faceting

Themes

ggplot2 Exercises

ggplot2 Exercise Solutions

3 Topics

Data Visualization Project

Data Visualization Project - Solutions Walkthrough - Part 1

Data Visualization Project Solutions Walkthrough - Part 2

2 Topics

Overview of Plotly and Interactive Visualizations

Resources for Plotly and ggplot2

2 Topics

Introduction to Capstone Project

Capstone Project Solutions Walkthrough

2 Topics

ISLR PDF

Introduction to Machine Learning

4 Topics

Introduction to Linear Regression

Linear Regression with R - Part 1

Linear Regression with R - Part 2

Linear Regression with R - Part 3

3 Topics

Introduction to Linear Regression Project

ML - Linear Regression Project - Solutions Part 1

ML - Linear Regression Project - Solutions Part 2

3 Topics

Introduction to Logistic Regression

Logistic Regression with R - Part 1

Logistic Regression with R - Part 2

4 Topics

Introduction to Logistic Regression Project

Logistic Regression Project Solutions - Part 1

Logistic Regression Project Solutions - Part 2

Logistic Regression Project - Solutions Part 3

2 Topics

Introduction to K Nearest Neighbors

K Nearest Neighbors with R

2 Topics

Introduction K Nearest Neighbors Project

K Nearest Neighbors Project Solutions

2 Topics

Introduction to Tree Methods

Decision Trees and Random Forests with R

3 Topics

Introduction to Decision Trees and Random Forests Project

Tree Methods Project Solutions - Part 1

Tree Methods Project Solutions - Part 2

2 Topics

Introduction to Support Vector Machines

Support Vector Machines with R

3 Topics

Introduction to SVM Project

Support Vector Machines Project - Solutions Part 1

Support Vector Machines Project - Solutions Part 2

2 Topics

Introduction to K-Means Clustering

K Means Clustering with R

2 Topics

Introduction to K Means Clustering Project

K Means Clustering Project - Solutions Walkthrough

3 Topics

Introduction to Natural Language Processing

Natural Language Processing with R - Part 1

Natural Language Processing with R - Part 2

2 Topics

Introduction to Neural Nets

Neural Nets with R

2 Topics

Introduction to Neural Nets Project

Neural Nets Project - Solutions

1 Topic

Bonus Lecture:

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Data Science and Machine Learning Bootcamp with R

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Data Science and Machine Learning Bootcamp with R by Udemy

Course Highlights

Skills you will learn!

Curriculum

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Data Science and Machine Learning Bootcamp with R by Udemy

Course Highlights

Skills you will learn!

Curriculum

Course Introduction

Course Best Practices

Windows Installation Set-Up

Mac OS Installation Set-Up

Linux Installation

Development Environment Overview

Introduction to R Basics

R Matrices

R Data Frames

R Lists

Data Input and Output with R

R Programming Basics

Advanced R Programming

Data Manipulation with R

Data Visualization with R

Data Visualization Project

Interactive Visualizations with Plotly

Capstone Data Project

Introduction to Machine Learning with R

Machine Learning with R - Linear Regression

Machine Learning Project - Linear Regression

Machine Learning with R - Logistic Regression

Machine Learning Project - Logistic Regression

Machine Learning with R - K Nearest Neighbors

Machine Learning Project - K Nearest Neighbors

Machine Learning with R - Decision Trees and Random Forests

Machine Learning Project - Decision Trees and Random Forests

Machine Learning with R - Support Vector Machines

Machine Learning Project - Support Vector Machines

Machine Learning with R - K -means Clustering

Machine Learning Project - K - means Clustering

Machine Learning with R - Natural Language Processing

Machine Learning with R - Neural Nets

Machine Learning Project - Neural Nets

Bonus Section

Related Machine Learning Courses

Master Data Science & Machine Learning in Python

Python for Machine Learning

Basics of Machine Learning

Machine Learning: Introduction with Regression

Basics of Unsupervised Machine Learning

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Machine Learning: Random Forests & Decision Trees

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HarvardX: Machine Learning and AI with Python

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Get in Touch with Us

Quick links

Latest Ranking

Popular Specializations