Healthcare Data Science

Syllabus

START:
September 9, 2017
DURATION:
4 weeks

Healthcare Data Science Bootcamp is an intensive, 4 weeks training program to bridge the gap between education and a career in healthcare data science.  This program teaches students the industry-specific skills for data analytics in the new era of big data.

 


For Chinese introduction, Please see here:

中文介绍  


 

Who can learn from this program

The best health data scientists have a passion for solving healthcare challenges with quantitative methodologies. Health data scientists can have backgrounds in diverse fields such as:

– bioinformatics

– public health

– medicine

– psychology

– physics, astrophysics

– neuroscience

– math / statistics

– computer science

– engineering

– other data-heavy disciplines

 

What you learn in this program

The emerging health data science field requires knowledge about relevant programming languages and databases, statistics and machine learning, life science fundamentals, and healthcare industry practices.

 

What is Healthcare Data Science?

Healthcare data science leverage data-driven technology to genome sequences, drug screens, clinical trial data, electronic medical records, claims data, longitudinal studies etc. some application like:

 

– Clinical Trials:
Patients are being automatically identified for clinical trials based on multiple sources of data including electronic health records, claims data, and genetic information. Selectively targeting specific populations will lead to smaller, faster, cheaper, and more effective clinical trials.

 

– Healthcare Analytics:
Predictive modeling of electronic health records and claims data is identifying hot spots within the healthcare system.

 

– Genomics:
The cost of sequencing the whole and fraction of human genome has dropped dramatically in recent years, which is making the technology more accessible and common in diagnosing diseases. DNA sequencing is being used in precision medicine that pinpoints specific cancer mutations and recommends optimal treatment based on the patient’s genomic profile.