Professional Certificate in Digital Humanities Data Mastery
-- ViewingNowThe Professional Certificate in Digital Humanities Data Mastery is a crucial course designed to equip learners with essential data analysis skills in the humanities sector. This program is increasingly important as technology continues to revolutionize the way we approach and interpret humanities data.
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⢠<data-curation>: Introduction to data curation in Digital Humanities, including best practices for data organization, metadata creation, and data preservation.
⢠<data-analysis>: Overview of data analysis techniques and tools commonly used in Digital Humanities, including data visualization, text mining, and network analysis.
⢠<data-management>: Principles of data management, including data security, data backup, and data sharing.
⢠<linked-data>: Introduction to linked data and semantic web technologies, including RDF, SPARQL, and ontologies.
⢠<data-ethics>: Ethical considerations in Digital Humanities data mastery, including data privacy, data ownership, and data bias.
⢠<data-quality>: Techniques for ensuring data quality, including data cleaning, data validation, and data normalization.
⢠<data-interoperability>: Strategies for achieving data interoperability, including data standardization, data mapping, and data transformation.
⢠<digital-archiving>: Overview of digital archiving, including the selection, preservation, and access of digital objects.
⢠<project-management>: Best practices for project management in Digital Humanities data mastery, including project planning, project execution, and project evaluation.
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