IIRF Online > Development > Data Science > Machine Learning > Data Science and Machine Learning Bootcamp with R

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
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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