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Career Advancement Programme in Digital Humanities Tools and Technologies
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CourseDetails
- Introduction to Digital Humanities: Concepts and Methodologies
- Text Analysis and Mining with Python (Natural Language Processing)
- Digital Mapping and GIS for Humanities Research
- Network Analysis and Visualization
- Digital Archiving and Preservation (Metadata and Standards)
- Data Wrangling and Cleaning for Humanities Data
- Web Development for Digital Humanities Projects (HTML, CSS, JavaScript)
- Project Management and Collaboration Tools for Digital Humanities
- Data Visualization and Storytelling with R and Tableau
CareerPath
Career Role Description Digital Humanities Data Scientist (Primary: Data Science, Digital Humanities; Secondary: Python, R) Develops and applies statistical methods to analyze large digital datasets, providing insights for research in the humanities.
High demand in UK universities and cultural institutions.
Digital Humanities Project Manager (Primary: Project Management, Digital Humanities; Secondary: Agile, Teamwork) Manages complex digital humanities projects, ensuring timely delivery and adherence to budget, collaborating with diverse teams.
Crucial role in successful project implementation.
Digital Humanities Web Developer (Primary: Web Development, Digital Humanities; Secondary: HTML, CSS, JavaScript) Builds and maintains websites and applications for digital humanities projects, integrating data visualization and user-friendly interfaces.
In-demand skillset across the sector.
Digital Humanities Text Analyst (Primary: Text Analysis, Digital Humanities; Secondary: NLP, Python) Uses computational methods to analyze large text corpora, extracting meaningful information and patterns for humanities research.
Essential for qualitative research analysis.
EntryRequirements
- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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- TwoThreeHoursPerWeek
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