Data Science in Stratified Healthcare and Precision Medicine
- 4.6
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Approx. 17 hours to complete
Course Summary
Learn the essentials of data science and start working with data in a meaningful way. This course covers the entire data science process, from asking the right kinds of questions to making inferences and publishing results.Key Learning Points
- Gain a comprehensive understanding of the data science process
- Learn how to ask the right questions to gather meaningful data
- Develop skills in data cleaning, visualization, and analysis
Job Positions & Salaries of people who have taken this course might have
- Data Scientist
- USA: $113,000
- India: ₹1,400,000
- Spain: €40,000
- Data Analyst
- USA: $65,000
- India: ₹600,000
- Spain: €25,000
- Business Analyst
- USA: $70,000
- India: ₹500,000
- Spain: €30,000
Related Topics for further study
Learning Outcomes
- Develop skills in data collection, cleaning, and analysis
- Learn how to create meaningful visualizations and make inferences from data
- Understand the entire data science process from start to finish
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of statistics
- Familiarity with programming concepts
Course Difficulty Level
IntermediateCourse Format
- Self-paced
- Online
Similar Courses
- Applied Data Science with Python
- Data Analysis and Interpretation
- Data Science Methodology
Related Education Paths
Related Books
Description
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.
Outline
- Welcome to the Course
- Welcome to the Course
- About the Course
- Demystifying Data Science
- Python Basics Part 1
- Python Basics Part 2
- Professor Andrew Morris
- Professor Aileen Keel
- Syllabus
- Course Logistics
- How to use the Discussion Forums
- Course Team
- Acknowledgements
- Copyright
- How to use Jupyter Notebooks
- Programming tips & tricks
- Quiz 1
- WELCOME TO WEEK 2
- Introduction
- DNA and Sequencing
- Modelling the Data
- Conclusion
- Professor Tim Aitman
- Professor David Porteous
- Introduction
- Medical Imaging Data & Modalities
- Analysing Medical Images
- Quiz 2
- WELCOME TO WEEK 3
- Introduction
- Representing Networks
- Biological Networks
- Conclusion
- Introduction
- Statistical Methods in Medical Research
- Conclusion
- Introduction
- Supervised Learning
- Unsupervised Learning
- Conclusion
- How the Programming Assignment works
- Quiz 3
- Programming Assignment Quiz
- WELCOME TO WEEK 4
- Introduction
- Tasks
- Computational Methods
- Angus McCann from IBM
- Introduction
- Modelling Processes
- Analysing Processes
- Process Mining
- Rodrigo Barnes from Aridhia
- IBM Watson
- Quiz 4
- WELCOME TO WEEK 5
- Introduction
- Graph Data & RDF
- Ontologies & Graph Data Conclusion
- Dr Steve Pavis
- Professor Mark Parsons
- Society, Law and Ethics
- Course Conclusion
- SPARQL Querying
- General Data Protection Regulation (GDPR)
- Research Ethics
- Quiz 5
Summary of User Reviews
Discover the world of data science with Coursera's Data Science Methodology course. This course has received many positive reviews from users who appreciated its comprehensive coverage of data science techniques and tools.Key Aspect Users Liked About This Course
The course's emphasis on practical applications of data science tools and techniques.Pros from User Reviews
- Comprehensive coverage of data science techniques and tools
- Emphasis on practical applications of data science tools and techniques
- Engaging and knowledgeable instructors
- Well-structured course content
- Great platform for beginners to learn data science
Cons from User Reviews
- Some users found the coursework to be challenging
- Some users felt that the course did not go into enough depth on certain topics
- Some users found the pace of the course to be too slow
- Some users encountered technical issues with the platform
- Some users felt that the course was too basic for their level of experience
Dr Areti Manataki
4.6 Raiting
Data Science in Stratified Healthcare and Precision Medicine
- 4.6
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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....
Precision Medicine
- 3.2
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This course will provide you with the key knowledge and tools to understand the fundamentals and practical implications of precision medicine, its opportunities and challenges....
