Data Science with R

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.
Course info
Rating
(172)
Level
Beginner
Updated
October 25, 2016
Duration
2h 30m
Table of contents
Description
Course info
Rating
(172)
Level
Beginner
Updated
October 25, 2016
Duration
2h 30m
Description

Data science is the practice of transforming data into knowledge, and R is one of the most popular programming language 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 learn 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.

About the author
About the author

Matthew is a data science consultant, author, and international public speaker. He has over 17 years of professional experience working with tech startups to Fortune 500 companies. He is a Microsoft MVP, ASPInsider, and open-source software contributor.

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Transcript
Transcript

Hi, I’m Matthew Renze, with Pluralsight, and welcome to Data Science with R.

Data science is the practice of transforming data into knowledge and R is the most popular open-source programming language used for data science. In our data-driven economy, this combination of skills is in extremely high demand, commanding significant increases in salary, as it is revolutionizing the world around us.

In this course, you'll learn how to use the principles of data science and the R programming language, to answer day-to-day questions about your data.

As an overview of this course:
1. First, you’ll learn about the practice of data science and the R programming language
2. Then, you’ll learn how to work with data to create descriptive statistics, data visualizations, and statistical models.
3. Finally, you’ll learn how to handle big data, make predictions with machine learning, and deploy your applications 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. In addition, by the end of this course, you’ll have built and deployed a web-based interactive machine learning application that allows users to make predictions using data.

As an introductory course, there are no prerequisites for this course. However, having basic experience with at least one programming language and basic knowledge of statistics will be beneficial.

Please join us today at Pluralsight and learn how to transform your data into actionable insight with Data Science with R.