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Data Science and Machine Learning Bootcamp with R

Data Science and Machine Learning Bootcamp with R

Loại khoá học: Development

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

image
50.000 VND
140 VND
Đầy Đủ Bài Giảng
Học Online Tiện Lợi
Kích Hoạt Nhanh 2-5 Phút
Thanh toán tự động
Được phép tải xuống

Tổng quan

Nội dung khoá học

Đánh giá

Mô tả

Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!

This course is designed for both complete beginners with no programming experience or experienced developers looking to make the jump to Data Science!

This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With over 100 HD video lectures and detailed code notebooks for every lecture this is one of the most comprehensive course for data science and machine learning on Udemy!

We'll teach you how to program with R, how to create amazing data visualizations, and how to use Machine Learning with R! Here a just a few of the topics we will be learning:

  • Programming with R
  • Advanced R Features
  • Using R Data Frames to solve complex tasks
  • Use R to handle Excel Files
  • Web scraping with R
  • Connect R to SQL
  • Use ggplot2 for data visualizations
  • Use plotly for interactive visualizations
  • Machine Learning with R, including:
  • Linear Regression
  • K Nearest Neighbors
  • K Means Clustering
  • Decision Trees
  • Random Forests
  • Data Mining Twitter
  • Neural Nets and Deep Learning
  • Support Vectore Machines
  • and much, much more!

Enroll in the course and become a data scientist today!

Bạn sẽ học được gì

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

Yêu cầu

  • Computer Access with download privileges.
  • Basic Math Skills

Nội dung khoá học

35 sections

Course Introduction

4 lectures
Introduction to Course
02:33
Course Curriculum
02:02
What is Data Science?
03:49
Course FAQ
00:38

Course Best Practices

3 lectures
How to Get Help in the Course!
01:09
Welcome to the Course.
1 question
Installation and Set-Up
00:12

Windows Installation Set-Up

1 lectures
Windows Installation Procedure
06:19

Mac OS Installation Set-Up

1 lectures
Mac OS Installation Procedure
05:26

Linux Installation

1 lectures
Linux/Unbuntu Installation Procedure
00:41

Development Environment Overview

3 lectures
Development Environment Overview
00:21
Course Notes
09:00
Guide to RStudio
12:33

Introduction to R Basics

11 lectures
Introduction to R Basics
02:27
Arithmetic in R
04:30
Variables
05:25
R Basic Data Types
05:31
Vector Basics
07:35
Vector Operations
04:23
Comparison Operators
06:30
Vector Indexing and Slicing
09:36
Getting Help with R and RStudio
02:12
R Basics Training Exercise
02:12
R Basics Training Exercise - Solutions Walkthrough
07:21

R Matrices

8 lectures
Introduction to R Matrices
00:48
Creating a Matrix
10:23
Matrix Arithmetic
04:15
Matrix Operations
05:22
Matrix Selection and Indexing
06:34
Factor and Categorical Matrices
08:14
Matrix Training Exercise
01:00
Matrix Training Exercises - Solutions Walkthrough
13:10

R Data Frames

7 lectures
Introduction to R Data Frames
00:44
Data Frame Basics
08:43
Data Frame Indexing and Selection
09:15
Overview of Data Frame Operations - Part 1
15:58
Overview of Data Frame Operations - Part 2
18:40
Data Frame Training Exercise
01:06
Data Frame Training Exercises - Solutions Walkthrough
15:07

R Lists

1 lectures
List Basics
09:00

Data Input and Output with R

6 lectures
Introduction to Data Input and Output with R
00:24
CSV Files with R
06:09
Note on R with Excel Download
00:49
Excel Files with R
11:43
SQL with R
09:56
Web Scraping with R
06:52

R Programming Basics

10 lectures
Introduction to Programming Basics
00:58
Logical Operators
08:05
if, else, and else if Statements
14:59
Conditional Statements Training Exercise
01:27
Conditional Statements Training Exercise - Solutions Walkthrough
12:05
While Loops
06:52
For Loops
12:28
Functions
19:15
Functions Training Exercise
02:14
Functions Training Exercise - Solutions
20:15

Advanced R Programming

6 lectures
Introduction to Advanced R Programming
00:53
Built-in R Features
09:49
Apply
15:16
Math Functions with R
03:22
Regular Expressions
05:16
Dates and Timestamps
12:07

Data Manipulation with R

8 lectures
Data Manipulation Overview
00:40
Guide to Using Dplyr
11:42
Guide to Using Dplyr - Part 2
10:04
Pipe Operator
06:19
Quick note on Dpylr exercise
00:12
Dplyr Training Exercise
01:09
Dplyr Training Exercise - Solutions Walkthrough
06:47
Guide to Using Tidyr
20:30

Data Visualization with R

10 lectures
Overview of ggplot2
06:42
Histograms
18:37
Scatterplots
16:59
Barplots
07:57
Boxplots
07:01
2 Variable Plotting
07:48
Coordinates and Faceting
10:47
Themes
05:23
ggplot2 Exercises
02:29
ggplot2 Exercise Solutions
12:51

Data Visualization Project

3 lectures
Data Visualization Project
02:46
Data Visualization Project - Solutions Walkthrough - Part 1
10:56
Data Visualization Project Solutions Walkthrough - Part 2
10:48

Interactive Visualizations with Plotly

2 lectures
Overview of Plotly and Interactive Visualizations
08:49
Resources for Plotly and ggplot2
00:14

Capstone Data Project

2 lectures
Introduction to Capstone Project
07:55
Capstone Project Solutions Walkthrough
21:59

Introduction to Machine Learning with R

2 lectures
ISLR PDF
00:12
Introduction to Machine Learning
16:48

Machine Learning with R - Linear Regression

4 lectures
Introduction to Linear Regression
05:26
Linear Regression with R - Part 1
19:40
Linear Regression with R - Part 2
20:11
Linear Regression with R - Part 3
11:53

Machine Learning Project - Linear Regression

3 lectures
Introduction to Linear Regression Project
08:27
ML - Linear Regression Project - Solutions Part 1
21:23
ML - Linear Regression Project - Solutions Part 2
10:55

Machine Learning with R - Logistic Regression

3 lectures
Introduction to Logistic Regression
11:37
Logistic Regression with R - Part 1
20:00
Logistic Regression with R - Part 2
18:41

Machine Learning Project - Logistic Regression

4 lectures
Introduction to Logistic Regression Project
01:40
Logistic Regression Project Solutions - Part 1
20:01
Logistic Regression Project Solutions - Part 2
15:04
Logistic Regression Project - Solutions Part 3
13:09

Machine Learning with R - K Nearest Neighbors

2 lectures
Introduction to K Nearest Neighbors
05:00
K Nearest Neighbors with R
19:05

Machine Learning Project - K Nearest Neighbors

2 lectures
Introduction K Nearest Neighbors Project
03:17
K Nearest Neighbors Project Solutions
11:22

Machine Learning with R - Decision Trees and Random Forests

2 lectures
Introduction to Tree Methods
06:30
Decision Trees and Random Forests with R
12:01

Machine Learning Project - Decision Trees and Random Forests

3 lectures
Introduction to Decision Trees and Random Forests Project
01:41
Tree Methods Project Solutions - Part 1
16:42
Tree Methods Project Solutions - Part 2
04:46

Machine Learning with R - Support Vector Machines

2 lectures
Introduction to Support Vector Machines
04:13
Support Vector Machines with R
14:50

Machine Learning Project - Support Vector Machines

3 lectures
Introduction to SVM Project
02:13
Support Vector Machines Project - Solutions Part 1
11:03
Support Vector Machines Project - Solutions Part 2
10:17

Machine Learning with R - K-means Clustering

2 lectures
Introduction to K-Means Clustering
04:50
K Means Clustering with R
09:33

Machine Learning Project - K-means Clustering

2 lectures
Introduction to K Means Clustering Project
01:56
K Means Clustering Project - Solutions Walkthrough
17:12

Machine Learning with R - Natural Language Processing

3 lectures
Introduction to Natural Language Processing
04:25
Natural Language Processing with R - Part 1
04:50
Natural Language Processing with R - Part 2
15:56

Machine Learning with R - Neural Nets

2 lectures
Introduction to Neural Nets
06:13
Neural Nets with R
21:52

Machine Learning Project - Neural Nets

2 lectures
Introduction to Neural Nets Project
02:08
Neural Nets Project - Solutions
09:11

Bonus Section

1 lectures
Bonus Lecture:
00:10

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