This course provides an introduction to the philosophical and logical aspects of Applied Data Science. Students will gain an understanding of the sorites paradox and the Liar paradox, as well as the logics K3, LP and ST. They will also learn about paracompleteness, paraconsistency and duality, and how to use multiple conclusions and the tableaux technique to construct proofs. Join now and explore the fascinating world of Applied Data Science!
Big Data Integration and Processing
4.0
Coursera1,791 learners
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Learn how to integrate and process big data with this comprehensive course! Gain the skills to retrieve data from databases and big data management systems, identify when a big data problem needs data integration, and execute big data integration and processing on Hadoop and Spark platforms. No prior programming experience is needed. Get started today!
Data Science and Agile Systems for Product Management
4.5
Edx10,082 learners
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Discover how to use Data Science and Agile Systems to optimize product management. Learn the paradigms, processes, and technologies that enable data-driven product organizations to outpace the competition. Explore how to use Lean and DevOps principles to streamline handoffs and information flows across teams. Understand how to use data collection and feedback loops to anticipate and react to business needs.
Mining Massive Datasets
4.5
Edx9,126 learners
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Learn to analyze massive datasets and uncover hidden patterns with this comprehensive course. Join now and gain the skills to make data-driven decisions.
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