11-671 Foundations of Computational Data Science I

6 units, Carnegie Mellon University

This course provides an introduction to foundational concepts, learning material, and projects related to the three core areas of Data Science Computing Systems, Analytics, and HumanCentered Data Science. Students completing this class will be prepared for further graduate education in Data Science andor Artificial Intelligence. Students acquire skills in solution design e.g., architecture, framework APIs, cloud computing, analytic algorithms e.g., classification, clustering, ranking, prediction, interactive analysis Jupyter Notebook, applications to data science domains e.g., Natural Language Processing, Computer Vision and visualization techniques for data analysis, solution optimization, and performance measurement on realworld tasks.

Prerequisites: none listed

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