Об этом курсе
4.6
18 ratings
7 reviews
An increasing volume of data is becoming available in biomedicine and healthcare, from genomic data, to electronic patient records and data collected by wearable devices. Recent advances in data science are transforming the life sciences, leading to precision medicine and stratified healthcare. In this course, you will learn about some of the different types of data and computational methods involved in stratified healthcare and precision medicine. You will have a hands-on experience of working with such data. And you will learn from leaders in the field about successful case studies. Topics include: (i) Sequence Processing, (ii) Image Analysis, (iii) Network Modelling, (iv) Probabilistic Modelling, (v) Machine Learning, (vi) Natural Language Processing, (vii) Process Modelling and (viii) Graph Data. Watch the course promo video here: http://edin.ac/2pn350P...
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Только онлайн-курсы

Начните сейчас и учитесь по собственному графику.
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Гибкие сроки

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Intermediate Level

Промежуточный уровень

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Предполагаемая нагрузка: 5 weeks of study, 3-4 hours/week

Прибл. 16 ч. на завершение
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English

Субтитры: English

Приобретаемые навыки

Python ProgrammingMachine LearningImage AnalysisNatural Language Processing
Globe

Только онлайн-курсы

Начните сейчас и учитесь по собственному графику.
Calendar

Гибкие сроки

Назначьте сроки сдачи в соответствии со своим графиком.
Intermediate Level

Промежуточный уровень

Clock

Предполагаемая нагрузка: 5 weeks of study, 3-4 hours/week

Прибл. 16 ч. на завершение
Comment Dots

English

Субтитры: English

Программа курса: что вы изучите

1

Раздел
Clock
5 ч. на завершение

Welcome to the Course

Join us this week to find out how the course works and to try your hand at programming in Python!...
Reading
7 видео (всего 52 мин.), 8 материалов для самостоятельного изучения, 1 тест
Video7 видео
About the Course2мин
Demystifying Data Science4мин
Python Basics Part 19мин
Python Basics Part 25мин
Professor Andrew Morris12мин
Professor Aileen Keel15мин
Reading8 материала для самостоятельного изучения
Syllabus10мин
Course Logistics10мин
How to use the Discussion Forums10мин
Course Team10мин
Acknowledgements10мин
Copyright10мин
How to use Jupyter Notebooks10мин
Programming tips & tricks10мин
Quiz1 практическое упражнение
Quiz 120мин

2

Раздел
Clock
2 ч. на завершение

WELCOME TO WEEK 2

This week you will be introduced to Sequence Processing and Medical Image Analysis. Explore the course materials to find out about recent advances in these areas and how they contribute to Precision Medicine!...
Reading
9 видео (всего 53 мин.), 1 тест
Video9 видео
DNA and Sequencing3мин
Modelling the Data3мин
Conclusion4мин
Professor Tim Aitman13мин
Professor David Porteous11мин
Introduction1мин
Medical Imaging Data & Modalities7мин
Analysing Medical Images5мин
Quiz1 практическое упражнение
Quiz 220мин

3

Раздел
Clock
4 ч. на завершение

WELCOME TO WEEK 3

This week you will learn about Probabilistic and Network Modelling, and how they are applied to biomedicine. You will also be introduced to Machine Learning and explore the opportunities it brings to the medical field....
Reading
11 видео (всего 43 мин.), 1 материал для самостоятельного изучения, 2 тестов
Video11 видео
Representing Networks3мин
Biological Networks5мин
Conclusion2мин
Introduction2мин
Statistical Methods in Medical Research4мин
Conclusion3мин
Introduction1мин
Supervised Learning10мин
Unsupervised Learning5мин
Conclusion1мин
Reading1 материал для самостоятельного изучения
How the Programming Assignment works10мин
Quiz2 практического упражнения
Quiz 320мин
Programming Assignment Quiz20мин

4

Раздел
Clock
2 ч. на завершение

WELCOME TO WEEK 4

This week you will discover how clinical notes and other free-form text can be analysed with the use of Natural Language Processing techniques. You will also find out how Process Modelling can help us understand, stratify and improve healthcare processes....
Reading
9 видео (всего 57 мин.), 1 материал для самостоятельного изучения, 1 тест
Video9 видео
Tasks10мин
Computational Methods4мин
Angus McCann from IBM7мин
Introduction2мин
Modelling Processes6мин
Analysing Processes6мин
Process Mining2мин
Rodrigo Barnes from Aridhia13мин
Reading1 материал для самостоятельного изучения
IBM Watson10мин
Quiz1 практическое упражнение
Quiz 420мин
4.6

Лучшие рецензии

автор: SWJun 8th 2018

Great course, really well designed and well produced and I feel like I've learned a lot! The coding was a bit of a shock to the system but it was nice and challenging. Thank you to the team!

автор: DCJun 25th 2018

The course fulfills all my expectations, I'm looking forward to enrolling in a further version of it.

Преподавателя

Dr Areti Manataki

Teaching and Research Fellow
Centre for Medical Informatics

Dr Frances Wong

Data Science MOOC Project Lead
College of Science and Engineering

О The University of Edinburgh

Influencing the world since 1583, The University of Edinburgh is consistently ranked as one of the world's top 50 universities. Today, we are an established and global leader in online learning, providing degree-level education to 3,000 online students in addition to 36,000 students on-campus. We also offer a wide range of free online courses in a variety of subjects. To find out more about studying for one of our online degrees, search for ‘Edinburgh online’ or visit www.ed.ac.uk/studying/online-learning/postgraduate ...

Часто задаваемые вопросы

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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