The program features a multi-disciplinary curriculum that draws on insights from the social sciences, computer science, statistics, management, and law. The MIDS curriculum starts with the importance of asking good questions of data. Students practice defining (and refining) business or research questions that are relevant and tractable, and they learn how organizations use data to inform decision making.
You will learn best practices for collection, storage, and retrieval of data ' and how these factors affect timeliness, accuracy, and reliability of large-scale storage models. The curriculum prepares students to apply the latest statistical and computational methods for identifying patterns in and extracting insights from complex datasets, as well as for making predictions.
Equally important, students learn how to communicate the findings of data analysis effectively using visualization tools, as well as in written and oral presentations, and are exposed to the ethical dilemmas and legal requirements associated with working with real-world data at scale.
University of California, Berkeley, United States
The program features a multi-disciplinary curriculum that draws on insights from the social sciences, computer science, statistics, management, and law. The MIDS curriculum starts with the importance of asking good questions of data. Students practice defining (and refining) business or research questions that are relevant and tractable, and they learn how organizations use data to inform decision making.
You will learn best practices for collection, storage, and retrieval of data ' and how these factors affect timeliness, accuracy, and reliability of large-scale storage models. The curriculum prepares students to apply the latest statistical and computational methods for identifying patterns in and extracting insights from complex datasets, as well as for making predictions.
Equally important, students learn how to communicate the findings of data analysis effectively using visualization tools, as well as in written and oral presentations, and are exposed to the ethical dilemmas and legal requirements associated with working with real-world data at scale.
University of California, Berkeley, United States
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