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Jimeng Sun
and
David Joyner
Take Udacity's online course and master big data analytics in healthcare and medicine. You'll learn the characteristics of medical data and the associated data mining challenges.
Register for this course and see more details by visiting:
OpenCourser.com/course/l9njs5/udacity
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What's inside
Syllabus
Introduction to Big Data
Big Data Course Overview
Predictive Modeling
MapReduce
Read more
Syllabus
Introduction to Big Data
Big Data Course Overview
Predictive Modeling
MapReduce
Read more
Classification Methods: Metrics
Ensemble Methods
Computational Phenotyping
Clustering
Spark
Medical Ontology
Graph Analysis
Dimensionality Reduction/Tensor Factorization
Patient Similarity
Deep Neural Network (DNN)
Convolutional Neural Networks (CNN)
Recurrent Neural Networks (RNN)
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops skills for doing clinical research and data modeling in medical fields
Taught by experienced instructors in medical big data
Emphasizes hands-on case studies, group projects and simulation
Save this course
Save CSE 8803 Special Topics: Big Data to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in CSE 8803 Special Topics: Big Data with these
activities:
Join a study group with other students taking the course
Show steps
Collaborating with peers can enhance your understanding, provide support, and improve your problem-solving skills.
Browse courses on
Collaboration
Show steps
-
Reach out to other students in the course and express interest in forming a study group.
-
Decide on regular meeting times and the format of the discussions.
-
Actively participate in group discussions and share your insights.
-
Support and help other members of the group.
Identify a mentor who can provide guidance on medical big data analytics
Show steps
Having a mentor who can provide guidance and support can accelerate your learning and help you navigate challenges.
Browse courses on
Mentoring
Show steps
-
Identify potential mentors through professional connections or online platforms.
-
Reach out to potential mentors and express your interest in learning from them.
-
Establish clear communication channels and schedule regular meetings.
-
Be proactive in seeking feedback and advice from your mentor.
Review Basic Data Analysis Concepts
Show steps
Refresh your understanding of fundamental data analysis concepts to strengthen your foundation for big data analytics in healthcare and medicine.
Browse courses on
Descriptive Statistics
Show steps
-
Revisit key concepts in descriptive and inferential statistics
-
Practice data preprocessing techniques to handle missing values and outliers
-
Review hypothesis testing methods and their applications in healthcare
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Compile a list of healthcare big data resources
Show steps
Organizing a collection of valuable resources will provide you with easy access to information and tools relevant to the course.
Browse courses on
Healthcare
Show steps
-
Identify and search for reputable sources of healthcare big data.
-
Use a spreadsheet or online platform to organize the resources.
-
Include information such as the resource title, description, and web address.
-
Review and update the compilation regularly to ensure its accuracy and relevance.
Attend meetups or conferences on big data in healthcare
Show steps
Networking with professionals in the field can broaden your perspective and connect you with potential mentors or collaborators.
Browse courses on
Networking
Show steps
-
Find upcoming meetups or conferences on big data in healthcare.
-
Prepare an elevator pitch about your interests and goals.
-
Attend the event and actively engage with other attendees.
-
Follow up with people you meet and connect on LinkedIn.
Complete online tutorials on Hadoop and Spark
Show steps
Completing online tutorials on Hadoop and Spark will provide you with hands-on experience with these essential big data tools.
Browse courses on
Hadoop
Show steps
-
Identify reputable online tutorials on Hadoop and Spark.
-
Set aside dedicated time each week to complete the tutorials.
-
Experiment with the tools and apply what you learn to sample datasets.
-
Share your findings with other students or mentors.
Practice Big Data Analysis Techniques
Show steps
Practice different techniques for big data analysis in healthcare and medicine to sharpen your analytical skills.
Show steps
-
Explore data mining algorithms for medical data analysis
-
Apply predictive modeling techniques to real-world medical datasets
-
Implement clustering algorithms to identify patterns in medical data
-
Evaluate the performance of machine learning models using medical data
Practice clustering algorithms
Show steps
Reinforce your understanding of clustering algorithms and improve your ability to apply them to medical data.
Browse courses on
Clustering
Show steps
-
Review the concepts of clustering and different clustering algorithms.
-
Implement a clustering algorithm from scratch using a programming language of your choice.
-
Apply the implemented algorithm to a medical dataset and analyze the results.
-
Compare the performance of different clustering algorithms on the same dataset.
Practice solving predictive modeling problems
Show steps
Practicing predictive modeling problems will enhance your understanding of algorithms and improve your analytical skills.
Browse courses on
Predictive Modeling
Show steps
-
Find practice problems online or in textbooks.
-
Set aside time to work through the problems.
-
Analyze the results and try to identify areas for improvement.
-
Seek guidance from instructors or mentors if needed.
Learn Advanced Techniques for Healthcare Analytics
Show steps
Follow tutorials and resources to delve deeper into advanced techniques for healthcare analytics, enhancing your understanding of complex data analysis.
Show steps
-
Use graph analysis to model relationships in medical data
-
Apply dimensionality reduction techniques to reduce the complexity of medical data
-
Implement deep learning algorithms for image analysis in healthcare
Create a data visualization on a healthcare dataset
Show steps
Creating a data visualization on a healthcare dataset will help you apply your knowledge of data analytics and communication.
Browse courses on
Data Visualization
Show steps
-
Choose a healthcare dataset that interests you.
-
Gather the data and clean it.
-
Select appropriate data visualization techniques.
-
Create a visually appealing and informative data visualization.
-
Present your visualization to others and discuss its implications.
Develop a Data Visualization Tool for Medical Analytics
Show steps
Create a data visualization tool specifically designed for medical analytics, showcasing your ability to translate complex medical data into accessible insights.
Browse courses on
Data Visualization
Show steps
-
Identify key metrics and data sources relevant to medical analytics
-
Design and develop interactive visualizations to present medical data
-
Integrate the tool with a healthcare data repository or API
Join a study group with other students taking the course
Show steps
Collaborating with peers can enhance your understanding, provide support, and improve your problem-solving skills.
Browse courses on
Collaboration
Show steps
Show steps
Show steps
- Reach out to other students in the course and express interest in forming a study group.
- Decide on regular meeting times and the format of the discussions.
- Actively participate in group discussions and share your insights.
- Support and help other members of the group.
Identify a mentor who can provide guidance on medical big data analytics
Show steps
Having a mentor who can provide guidance and support can accelerate your learning and help you navigate challenges.
Browse courses on
Mentoring
Show steps
Show steps
Show steps
- Identify potential mentors through professional connections or online platforms.
- Reach out to potential mentors and express your interest in learning from them.
- Establish clear communication channels and schedule regular meetings.
- Be proactive in seeking feedback and advice from your mentor.
Review Basic Data Analysis Concepts
Show steps
Refresh your understanding of fundamental data analysis concepts to strengthen your foundation for big data analytics in healthcare and medicine.
Browse courses on
Descriptive Statistics
Show steps
Show steps
Show steps
- Revisit key concepts in descriptive and inferential statistics
- Practice data preprocessing techniques to handle missing values and outliers
- Review hypothesis testing methods and their applications in healthcare
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Compile a list of healthcare big data resources
Show steps
Organizing a collection of valuable resources will provide you with easy access to information and tools relevant to the course.
Browse courses on
Healthcare
Show steps
Show steps
Show steps
- Identify and search for reputable sources of healthcare big data.
- Use a spreadsheet or online platform to organize the resources.
- Include information such as the resource title, description, and web address.
- Review and update the compilation regularly to ensure its accuracy and relevance.
Attend meetups or conferences on big data in healthcare
Show steps
Networking with professionals in the field can broaden your perspective and connect you with potential mentors or collaborators.
Browse courses on
Networking
Show steps
Show steps
Show steps
- Find upcoming meetups or conferences on big data in healthcare.
- Prepare an elevator pitch about your interests and goals.
- Attend the event and actively engage with other attendees.
- Follow up with people you meet and connect on LinkedIn.
Complete online tutorials on Hadoop and Spark
Show steps
Completing online tutorials on Hadoop and Spark will provide you with hands-on experience with these essential big data tools.
Browse courses on
Hadoop
Show steps
Show steps
Show steps
- Identify reputable online tutorials on Hadoop and Spark.
- Set aside dedicated time each week to complete the tutorials.
- Experiment with the tools and apply what you learn to sample datasets.
- Share your findings with other students or mentors.
Practice Big Data Analysis Techniques
Show steps
Practice different techniques for big data analysis in healthcare and medicine to sharpen your analytical skills.
Show steps
Show steps
Show steps
- Explore data mining algorithms for medical data analysis
- Apply predictive modeling techniques to real-world medical datasets
- Implement clustering algorithms to identify patterns in medical data
- Evaluate the performance of machine learning models using medical data
Practice clustering algorithms
Show steps
Reinforce your understanding of clustering algorithms and improve your ability to apply them to medical data.
Browse courses on
Clustering
Show steps
Show steps
Show steps
- Review the concepts of clustering and different clustering algorithms.
- Implement a clustering algorithm from scratch using a programming language of your choice.
- Apply the implemented algorithm to a medical dataset and analyze the results.
- Compare the performance of different clustering algorithms on the same dataset.
Practice solving predictive modeling problems
Show steps
Practicing predictive modeling problems will enhance your understanding of algorithms and improve your analytical skills.
Browse courses on
Predictive Modeling
Show steps
Show steps
Show steps
- Find practice problems online or in textbooks.
- Set aside time to work through the problems.
- Analyze the results and try to identify areas for improvement.
- Seek guidance from instructors or mentors if needed.
Learn Advanced Techniques for Healthcare Analytics
Show steps
Follow tutorials and resources to delve deeper into advanced techniques for healthcare analytics, enhancing your understanding of complex data analysis.
Show steps
Show steps
Show steps
- Use graph analysis to model relationships in medical data
- Apply dimensionality reduction techniques to reduce the complexity of medical data
- Implement deep learning algorithms for image analysis in healthcare
Create a data visualization on a healthcare dataset
Show steps
Creating a data visualization on a healthcare dataset will help you apply your knowledge of data analytics and communication.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a healthcare dataset that interests you.
- Gather the data and clean it.
- Select appropriate data visualization techniques.
- Create a visually appealing and informative data visualization.
- Present your visualization to others and discuss its implications.
Develop a Data Visualization Tool for Medical Analytics
Show steps
Create a data visualization tool specifically designed for medical analytics, showcasing your ability to translate complex medical data into accessible insights.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify key metrics and data sources relevant to medical analytics
- Design and develop interactive visualizations to present medical data
- Integrate the tool with a healthcare data repository or API
Career center
Learners who complete CSE 8803 Special Topics: Big Data will develop knowledge and skills
that may be useful to these careers:
Clinical Data Manager
Clinical Data Manager
Clinical Data Managers are responsible for managing and analyzing clinical data. They work with a variety of stakeholders, including investigators, sponsors, and regulatory agencies. This course will help Clinical Data Managers develop the skills they need to understand and analyze medical data.
Biostatistician
Biostatistician
Biostatisticians use statistical methods to analyze data in the fields of medicine and biology. They work with a variety of stakeholders, including researchers, clinicians, and policymakers. This course will help Biostatisticians develop the skills they need to understand and analyze medical data.
Health Information Manager
Health Information Manager
Health Information Managers are responsible for managing and protecting health information. They work with a variety of stakeholders, including healthcare providers, patients, and insurers. This course will help Health Information Managers develop the skills they need to understand and analyze medical data.
Healthcare Data Manager
Healthcare Data Manager
Healthcare Data Managers are responsible for managing and securing healthcare data. They work with a variety of stakeholders, including IT professionals, healthcare providers, and patients. This course will help Healthcare Data Managers develop the skills they need to understand and analyze medical data.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, build, and deploy machine learning models. In healthcare, these models can be used for a variety of applications, such as predicting patient outcomes, identifying fraud, and developing new treatments. This course will help Machine Learning Engineers develop the skills they need to work with the unique challenges of medical data.
Medical Informatics Specialist
Medical Informatics Specialist
Medical Informatics Specialists use technology to improve the delivery of healthcare. They work with a variety of stakeholders, including clinicians, patients, and healthcare administrators. This course will help Medical Informatics Specialists develop the skills they need to understand and analyze medical data.
Statistician
Statistician
Statisticians use mathematical and statistical techniques to analyze data and draw meaningful conclusions. In healthcare, they play a vital role in clinical research, drug development, and disease surveillance. This course will help Statisticians develop the skills they need to work with the complex and often unstructured data found in healthcare.
Epidemiologist
Epidemiologist
Epidemiologists investigate the causes and distribution of diseases. They often use data to track disease outbreaks and identify risk factors. This course will help Epidemiologists develop the skills they need to understand and analyze medical data.
Healthcare Consultant
Healthcare Consultant
Healthcare Consultants provide advice and guidance to healthcare organizations on a variety of topics, including strategy, operations, and finance. They often use data to support their recommendations. This course will help Healthcare Consultants develop the skills they need to understand and analyze medical data.
Data Analyst
Data Analyst
Data Analysts play a crucial role in healthcare by using data to identify trends, patterns, and inefficiencies. They use their findings to help organizations improve patient care, reduce costs, and develop new products and services. This course can help Data Analysts develop the skills they need to work with the unique challenges of medical data.
Public Health Analyst
Public Health Analyst
Public Health Analysts use data to identify and address public health problems. They work with a variety of stakeholders, including government agencies, healthcare providers, and community organizations. This course will help Public Health Analysts develop the skills they need to understand and analyze medical data.
Healthcare Policy Analyst
Healthcare Policy Analyst
Healthcare Policy Analysts analyze healthcare policy and its impact on patients, providers, and payers. They work with a variety of stakeholders, including policymakers, healthcare professionals, and advocates. This course will help Healthcare Policy Analysts develop the skills they need to understand and analyze medical data.
Medical Writer
Medical Writer
Medical Writers create and edit written materials about medical topics. They work with a variety of stakeholders, including healthcare professionals, patients, and the general public. This course may be useful for Medical Writers who want to specialize in writing about healthcare data.
Data Scientist
Data Scientist
A Data Scientist is responsible for analyzing massive amounts of data to identify patterns and trends. The insights they glean from their work can help organizations make informed decisions, improve efficiency, and identify new opportunities. Taking this course may be useful for Data Scientists who want to specialize in healthcare and medicine.
Medical Researcher
Medical Researcher
Medical Researchers conduct studies to investigate the causes and treatments of diseases. They often use data to analyze patient outcomes and identify new treatment options. This course may be useful for Medical Researchers who want to specialize in data analysis.
For more career information including salaries, visit:
OpenCourser.com/course/l9njs5/udacity
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
CSE 8803 Special Topics: Big Data.
Focuses on data mining techniques specific to healthcare, offering practical insights into extracting meaningful patterns and knowledge from medical data.
Save
Offers a practical guide to predictive modeling techniques, covering essential concepts, model evaluation, and deployment, which are directly applicable to the course topics.
Offers a comprehensive overview of health informatics, providing foundational knowledge on health information systems, electronic health records, and data management, which are relevant to the course context.
Save
Provides a comprehensive introduction to data mining techniques, including clustering, classification, and association rule mining, which can enhance the understanding of the course material.
Save
Offers a practical guide to health information systems, covering their design, implementation, and evaluation, which can provide foundational knowledge for understanding the course material.
Offers a comprehensive guide to medical statistics, covering data collection, statistical analysis, and interpretation of results, which can provide a strong foundation for understanding the course material.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/l9njs5/udacity
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Via
Udacity
Instructors
Jimeng Sun
David Joyner
Language
English
Good to know
Develops skills for doing clinical research and data modeling in medical fields
Taught by experienced instructors in medical big data
Emphasizes hands-on case studies, group projects and simulation
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