R is a popular programming language for statistical computing. In this course, Working with Data Types in R, you will gain foundational knowledge of data types and structures used within R. First, you will learn the basics of understanding what exactly data types and structures are. Next, you will discover how to work with commonly used data types and structures such as vectors, lists, factors, matrices, arrays, and data frames. Finally, you will explore how to compare and contrast these different data types and structures within R. When you’re finished with this course, you will have the skills and knowledge of working with some of the most commonly used data types and structures in R.
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 [Autogenerated] Hi, everyone. My name is Justin and welcome to my course, working with data types in our I am a MEChA tronics engineer and I'm currently an engineering professor at Sheridan College. Prior to this, I have many years of engineering and consulting experience across the numerous industries. This course is a beginner level course for learning the fundamentals of working with data types in arms. So some prior knowledge of our might be beneficial. Some of the major topics that we will cover include understanding data types and structures in our working with scale, er's and vectors and art, working with factors and lists with an R, working with data frames, matrices and a raise. And finally comparing and contrasting these data types and structures. By the end of this course, you will be proficient in the fundamental techniques required to work with different data types and structures in our from here. Continue your learning by diving into our and data science with courses on our programming fundamentals, data science with our and exploratory data analysis with art. I hope you'll join me on this journey to learn about to data types and structures with the working with data types in our course at plural site