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.
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.
Table of contents
Course FAQ
R is one of the most popular programming languages for data science, used to transform data into actionable insight through statistical computing and graphics.
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.
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
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!
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
Matthew Renze is an AI researcher, consultant, and author. As the founder of Renze Consulting, he has trained over 500,000 software developers and IT professionals. As the president of the Renze AI Research Institute, he researches cognitive architectures for agentic AI systems. Matthew has a Master's degree in Artificial Intelligence from Johns Hopkins University. He is a Microsoft MVP in AI, a Microsoft Regional Director, and an author for Pluralsight. You can learn more at https://matthewrenz... more