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
(420)
Level
Beginner
Updated
Oct 25, 2016
Duration
2h 30m
Table of contents
Description
Course info
Rating
(420)
Level
Beginner
Updated
Oct 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 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.

Course FAQ
Course FAQ
What is R programming?

R is one of the most popular programming languages for data science, used to transform data into actionable insight through statistical computing and graphics.

What is data science?

Data science is the practice of transforming data into knowledge; interpreting large sets of data and turning it into meaningful insights. Data science is defined by its use of scientific methods and processes for extracting these insights.

What will I learn in this Data Science with R course?

This course will teach you how to use data science and the R programming language to turn data into actionable insights. Some topics covered include:

  • An introduction to data science
  • An introduction to R programming
  • Effectively working with data
  • Creating descriptive statistics
  • Creating data visualizations
  • Creating statistical models
  • Handling Big Data
  • Predicting with Maching Learning
  • Much more
Who will benefit from this course?

Anyone who wants to learn the basics of data science and the R programming language will benefit from this tutorial! Whether you are a data scientist, or simply love working with data and interpreting it, this course is for you!

Are there prerequisites to this course?

There are no strict prerequisites for this introductory data science with R course, however, some basic programming exprerience and a basic knowledge of statistics will be beneficial.

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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