Brief Introduction
In this course, we introduce the characteristics of medical data and associated data mining challenges on dealing with such data. We cover various algorithms and systems for big data analytics. We focus on studying those big data techniques in the context of concrete healthcare analytic applications such as predictive modeling, computational phenotyping and patient similarity. We also study big data analytic technology: Scalable machine learning algorithms such as online learning and fast similaCourse Summary
Learn how to use big data analytics to improve healthcare outcomes and patient safety. Gain knowledge of analytical techniques and tools for processing medical and healthcare data.Key Learning Points
- Understand the importance of big data analytics in healthcare
- Learn how to process and analyze medical and healthcare data
- Gain knowledge of data visualization and presentation techniques
Related Topics for further study
Learning Outcomes
- Understand the importance of big data analytics in healthcare
- Gain knowledge of analytical techniques and tools for processing medical and healthcare data
- Learn how to use data visualization and presentation techniques to communicate insights effectively
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of statistics
- Familiarity with programming languages such as Python or R
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- Health Data Analytics
- Data Science for Healthcare
Related Education Paths
Notable People in This Field
- International Healthcare Innovation Professor
- Executive VP and Professor of Molecular Medicine
Related Books
Description
In this course, we introduce the characteristics of medical data and associated data mining challenges on dealing with such data. We cover various algorithms and systems.Requirements
- Basic machine learning and data mining concepts such as classification and clustering; Proficient programming and system skills in Python, Java and Scala; Proficient knowledge and experience in dealing with data (recommended skills include SQL, NoSQL such as MongoDB). See the Technology Requirements for using Udacity.
Knowledge
- Instructor videosLearn by doing exercisesTaught by industry professionals
Outline
- lesson 1 Big Data Predictive Modeling Dimensionality Reduction & Tensor Factorization Graph Analysis lesson 2 Healthcare Computational Phenotyping Patient Similarity Metrics Medical Ontology lesson 3 Technologies MapReduce Spark Hadoop
Summary of User Reviews
Discover the the world of big data analytics in healthcare with this comprehensive course from Udacity. Users have praised the course for its engaging content and knowledgeable instructors.Key Aspect Users Liked About This Course
Engaging contentPros from User Reviews
- Instructors are knowledgeable and engaging
- Real-world case studies help to illustrate key concepts
- Course provides a comprehensive overview of big data analytics in healthcare
Cons from User Reviews
- Some users found the course to be too basic
- Course may not be suitable for those without prior knowledge of healthcare or big data
- Course may require a significant time commitment
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