Data Science with R

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Created by: Matthew Renze

Produced in 2016

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Course 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.

Beginner Level

Time: 2h 30m

Instructor Details

Matthew Renze

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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. Matthew is a graduate of Iowa State University with double degrees in Computer Science and Philosophy, with a minor in Economics, and a focus on Artificial Intelligence and Machine Learning. His current focus is teaching others data science, code craftsmanship, and Agile software development.