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.
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.
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.
Course Overview Hi everyone, my name is Justin, and welcome to my course, Finding Relationships in Data with R. I am a mechatronics engineer, and I'm currently an engineering professor at Sheridan College. Prior to this, I have many years of engineering and consulting experience across numerous industries. This course is a beginner level course for learning the fundamentals of finding relationships between variables with R. So some prior knowledge of R and data science basics might be beneficial. Some of the major topics that we will cover include visualizing relationships within data, discovering relationships within data, calculating correlation between variables, creating correlation matrices, and finally, visualizing matrices using heatmaps and pairs plots. By the end of this course, you will be proficient in the fundamental techniques required to find relationships in data, and solve data analytics problems with R. From here, continue your learning by diving into R and data science with courses on R Programming Fundamentals, Beginning Data Visualization with R, and Visualizing Data in ggplot 2 in the R Data Playbook. I hope you'll join me on this journey to learn data science fundamentals and finding relationships within data, with the Finding Relationships in Data with R course at Pluralsight.