Data Science is a multidisciplinary field that combines aspects of Computer science, Statistics, and domain expertise to analyze and interpret data. It uses techniques from Machine Learning, data mining, and statistical analysis to extract insights and knowledge from data, and uses Data Visualization and communication tools to present the findings.
Depending on the courses, Data Science usually requires foundations in Computer Pogramming, especially Python.
UC Berkeley
Fall 2022
UC Berkeley's course blends inferential thinking, computational thinking, and real-world relevance, offering students hands-on analysis of real-world datasets. It covers critical concepts in computer programming, statistical inference, privacy, and study design.
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+ 33 more conceptsUniversity of Washington
Spring 2022
This course from the University of Washington dives deep into the principles of data visualization, exploring techniques derived from graphic design, perceptual psychology, and cognitive science. The course enhances understanding of visualization techniques, exposure to common data domains, and offers practical experience in building and evaluating visualization systems.
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+ 14 more conceptsUniversity of Washington
Summer 2022
This course offers an intermediate level of data programming, focusing on different data types, data science tools, code complexity, and memory management. It emphasizes the efficient use of concepts for data programming.
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+ 34 more concepts