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Featured byThe University of Edinburgh
Overview
This Natural Language Processing (NLP) 2 in R for Health and Social Care course offered by The University of Edinburgh highlights NLP’s growing role in health and social care, where vast text data, from electronic health records to medical literature and social media, offers rich insights.
Build on your technical skills, and continue to explore cutting-edge NLP tools and develop a critical understanding of the ethical and social implications of handling text data.
Spread across nine chapters, the course continues from NLP1 to combine theory and practice from the rapidly evolving field of NLP in health, care, academia, and industry.
Who the course is for
This course is designed for learners who:
- Are data analysts or researchers interested in exploring text analysis using Natural Language Processing (NLP).
- Have intermediate-level experience with the R programming language.
- Work in or have an interest in the Health and Social Care sector.
- Have completed the foundational course NLP1.
Programme Structure
What you'll learn:
- Classification and Features
- Named Entity Recognition
- Sentiment Analysis and Topic Modelling
- Annotation and Human Evaluation
- Measuring Performance
- Ethics and Bias
- Case Studies
- Longevity and Future of NLP Tools
- Wrapping Up
Key information
Duration
- Part-time
- 3 months
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Campus Location
- Edinburgh, United Kingdom
Disciplines
Health Sciences View 283 other Short Courses in Health Sciences in United KingdomWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Intermediate experience of R programming language
- Completed the foundational course NLP1
- To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents295 GBP / full≈ 295 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents295 GBP / full≈ 295 GBP / full
Funding
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