Course description

The amount and complexity of information produced in science, engineering, business, and everyday human activity is increasing at staggering rates. The goal of this course is to expose students to visual representation methods and techniques that increase the understanding of complex data. Good visualizations not only present a visual interpretation of data, but do so by improving comprehension, communication, and decision making. In this course, students learn how the human visual system processes and perceives images, good design practices for visualization, tools for visualization of data from a variety of fields, and programming of interactive web-based visualizations using D3. The recorded lectures are from the Harvard John A. Paulson School of Engineering and Applied Sciences course Computer Science 171.

 

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Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.

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