Data Science with R

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Matthew Renze

2:30:50

11 View

01. Course Overview

1. Course Overview.mp4

01:28

02. Introduction to Data Science

1. Version Check.mp4

00:16

2. Introduction.mp4

02:22

3. Course Overview.mp4

02:32

4. Introduction to Data Science.mp4

06:41

5. Summary.mp4

00:33

03. Introduction to R

1. Introduction.mp4

00:32

2. Introduction to R.mp4

03:45

3. Demo.mp4

18:21

4. Summary.mp4

00:26

04. Working with Data

1. Introduction.mp4

00:37

2. Working with Data.mp4

08:55

3. Demo.mp4

12:21

4. Summary.mp4

00:23

05. Creating Descriptive Statistics

1. Introduction.mp4

00:39

2. Creating Descriptive Statistics.mp4

04:14

3. Demo.mp4

04:33

4. Summary.mp4

00:25

06. Creating Data Visualizations

1. Introduction.mp4

00:32

2. Creating Data Visualizations.mp4

03:52

3. Demo.mp4

05:00

4. Summary.mp4

00:27

07. Creating Statistical Models

1. Introduction.mp4

00:30

2. Creating Statistical Models.mp4

05:54

3. Demo.mp4

07:11

4. Summary.mp4

00:21

08. Handling Big Data

1. Introduction.mp4

00:39

2. Handling Big Data.mp4

08:57

3. Demo.mp4

06:52

4. Summary.mp4

00:28

09. Predicting with Machine Learning

1. Introduction.mp4

00:34

2. Predicting with Machine Learning.mp4

11:21

3. Demo.mp4

08:58

4. Summary.mp4

00:23

10. Deploying to Production

1. Introduction.mp4

00:43

2. Deploying R into Production.mp4

05:44

3. Demo.mp4

07:34

4. Where to Go Next.mp4

03:53

5. Course Summary.mp4

01:54

Description

Data science is becoming more and more valuable to the workplace and to the global economy. Learn how to use the practice of data science and the programming language R to transform your data into actionable insight.

What You'll Learn?

Data science is the practice of transforming data into knowledge, and R is one of the most popular programming languages used by data scientists. In a data-driven economy, this combination of skills is in extremely high demand, commanding significant increases in salary, as it is revolutionizing the world.

In this course, Data Science with R, you'll first learn about the practice of data science, the R programming language, and how they can be used to transform data into actionable insight.

Next, you'll learn how to transform and clean your data, create and interpret descriptive statistics, data visualizations, and statistical models.

Finally, you'll learn how to handle Big Data, make predictions using machine learning algorithms, and deploy R to production.

By the end of this course, you'll have the skills necessary to use R and the principles of data science to transform your data into actionable insight.

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Data Science

R Programming

Matthew Renze

Instructor's Courses

Matthew Renze is a data science consultant, author, and public speaker. Over the past two decades, he’s taught over 400,000 software developers and IT professionals. He’s delivered over 100 keynotes, presentations, and workshops at conferences on every continent in the world (including Antarctica). His clients range from Fortune 500 companies to small tech startups around the globe. Matthew is a Microsoft MVP in AI and an ASPInsider. He’s also the president of Serenze Global, a 501(c)(3) non-profit organization whose mission is to improve access to technology education for under-represented individuals in the IT industry. His focus includes artificial intelligence, data science, and machine learning.

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.