- Course
Finding Relationships in Data with R
R is a widely-used programming language specifically within the data science field. This course will teach you the basics of finding relationships in data using R, including discovering relationships, calculating correlation and visualizing matrices.
Beginner
- Course
Finding Relationships in Data with R
R is a widely-used programming language specifically within the data science field. This course will teach you the basics of finding relationships in data using R, including discovering relationships, calculating correlation and visualizing matrices.
Beginner
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This course is included in the libraries shown below:
- Data
What you'll learn
Data Science and Machine Learning are rapidly growing fields that use scientific methods and processes to extract useful knowledge and insights from data. In this course, Finding Relationships in Data with R you will learn foundational knowledge of solving real world data science problems. First, you will learn the basics of discovering and visualizing relationships within data. Next, you will learn how correlation values and correlation matrices can be used to analyze relationships within data. Finally, you will explore how to understand and implement correlation matrices and dataframes using heatmaps and pairs plots. When you’re finished with this course, you will have the skills and knowledge of R needed to discover and understand relationships within data.
Finding Relationships in Data with R
Beginner
Table of contents
Justin Flett is a Mechatronics Engineer currently working as a Professor within the Faculty of Applied Science and Technology at Sheridan College. Justin has previously held positions at Hydro One Networks, Ford Motor Company, and ABB Robotics spanning across both the electrical and mechanical engineering industries. Most recently, he has been working as an Product Development Professional specializing in training, services, and consultation nation-wide, ranging from design fundamentals to advanced product development solutions.
