Elements of Data Science

Rice University via edX Microbachelors

edX Microbachelors based on 0 ratings

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Overview

Across industries, data science is becoming an ever-increasing necessity for organizations to be successful. Collecting, analyzing and strategically acting on big data sets based on key signals is critical, and data scientists are the ones leading the way and informing decision makers. This online Intermediate-level program is designed for working adults looking to pursue a career as a data scientist and roles focused on machine learning. Whether you already work with data in your current role or are interested in...

Syllabus

Courses under this program:Course 1: The Math of Data Science: Linear AlgebraThis course is an introduction to linear algebra. You will discover the basic objects of linear algebra how to compute with them, how they fit together theoretically, and how they can be used to solve real problems.Course 2: Discrete Time Signals and SystemsEnter the world of signal processing: analyze and extract meaning from the signals around us!Course 3: Signals, Systems, and LearningLearn the mathematical backbone of data science. Signals, systems, and transforms: from their theoretical mathematical foundations, to practical implementation in circuits and computer algorithms, to machine learning algorithms that convert signals into inferences.