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.
Author Name: Justin Flett
Author Description:
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 adva… more

Table of Contents

• Course Overview
  1min
• Visualizing Relationships within Data
  18mins
• Discovering Relationships within Data
  20mins
• Calculating Correlation between Variables
  13mins
• Creating Correlation Matrices
  11mins
• Visualizing Correlation Matrices using Heatmap
  14mins
• Visualizing Relationships using Pairplot
  14mins