Data Science and Machine Learning Bootcamp with R
4.6 (1,761 ratings)
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Data Science and Machine Learning Bootcamp with R

Learn how to use the R programming language for data science and machine learning and data visualization!
4.6 (1,761 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
13,419 students enrolled
Created by Jose Portilla
Last updated 3/2017
English
English
Current price: $10 Original price: $195 Discount: 95% off
1 day left at this price!
30-Day Money-Back Guarantee
Includes:
  • 17.5 hours on-demand video
  • 8 Articles
  • 3 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • 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
View Curriculum
Requirements
  • Computer Access with download privileges.
  • Basic Math Skills
Description

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!

Who is the target audience?
  • Anyone interested in becoming a Data Scientist
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Curriculum For This Course
127 Lectures
17:45:10
+
Course Introduction
4 Lectures 09:05

Learn about the course!

Preview 02:33

Overview of Course Curriculum!

Course Curriculum
02:02

Learn about Data Science and what it really is!


What is Data Science?
03:49

Frequently Asked Questions for the Course.

Course FAQ
00:41
+
Course Best Practices
2 Lectures 01:24

Learn how to get help in the course!



How to Get Help in the Course!
01:12

Learn how to get help!

Welcome to the Course.
1 question

Set-up Time!

Installation and Set-Up
00:12
+
Windows Installation Set-Up
1 Lecture 06:19

Learn how to install R on Windows!

Windows Installation Procedure
06:19
+
Mac OS Installation Set-Up
1 Lecture 05:26

Get everything set up on your Mac!

Mac OS Installation Procedure
05:26
+
Linux Installation
1 Lecture 00:44

Get set up on your Linux/Ubuntu OS!

Linux/Unbuntu Installation Procedure
00:44
+
Development Environment Overview
3 Lectures 21:54

Development Environment Overview

Development Environment Overview
00:21

Zip file Download of Course Notes!

Course Notes
09:00

Learn all about RStudio!

Guide to RStudio
12:33
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Introduction to R Basics
11 Lectures 57:42

Introduction to R Basics Section

Introduction to R Basics
02:27

Learn how to use R as a calculator!

Arithmetic in R
04:30

Learn how to use Variables in R!

Variables
05:25

Learn about R Data Types


R Basic Data Types
05:31

Learn about Vectors in R!

Vector Basics
07:35

Learn about Vector Operations!

Vector Operations
04:23

Learn how to index and slice data from vectors!

Vector Indexing and Slicing
09:36

Learn how to get help from within R and RStudio!


Getting Help with R and RStudio
02:12

Learn about Comparison Operators


Comparison Operators
06:30

Overview of Training Exercise

R Basics Training Exercise
02:12

Solutions to Training Exercise


R Basics Training Exercise - Solutions Walkthrough
07:21
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R Matrices
8 Lectures 49:46

Introduction to R Matrices!

Introduction to R Matrices
00:48

Learn how to create a matrix in R!

Creating a Matrix
10:23

Learn about Matrix Arithmetic!

Matrix Arithmetic
04:15

Learn about Matrix Operations in R!

Matrix Operations
05:22

Learn how to grab data from a Matrix!

Matrix Selection and Indexing
06:34

Learn about Factor and Categorical Matrices!


Factor and Categorical Matrices
08:14

Overview of Training Exercise

Matrix Training Exercise
01:00

Solutions to the Training Exercise

Matrix Training Exercises - Solutions Walkthrough
13:10
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R Data Frames
7 Lectures 01:09:33

Introduction to R Data Frames!

Introduction to R Data Frames
00:44

Learn the Basics of Data Frames in R!

Data Frame Basics
08:43

Learn how to grab data from a Data Frame in R!

Data Frame Indexing and Selection
09:15

Get an overview of the variety of operations you can use on a Data Frame in R!

Overview of Data Frame Operations - Part 1
15:58

Get an overview of the variety of operations you can use on a Data Frame in R!

Overview of Data Frame Operations - Part 2
18:40

Overview of Training Exercise

Data Frame Training Exercise
01:06

Solutions to the Training Exercise

Data Frame Training Exercises - Solutions Walkthrough
15:07
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R Lists
1 Lecture 09:00

Learn the basics of Lists in R!

List Basics
09:00
25 More Sections
About the Instructor
Jose Portilla
4.6 Average rating
42,269 Reviews
217,193 Students
12 Courses
Data Scientist

Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science and programming. He has publications and patents in various fields such as microfluidics, materials science, and data science technologies. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming the ability to analyze data, as well as present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Data Inc. and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, The New York Times, Credit Suisse, and many more. Feel free to contact him on LinkedIn for more information on in-person training sessions.