Analytics in Healthcare & Life Sciences

Data-driven healthcare to improve patient outcome, accelerate innovations, mitigate risks and reduces costs and inefficiencies. Training based on industry use cases by Experfy in Harvard Innovation Lab.

Healthcare industry has traditionally lagged behind traditional industries like banking and retail in the use of big data, primarily because of concerns about patient confidentiality. This is about to change. In the past few years, there has been an increase in supply of information in the Healthcare domain. Healthcare providers have digitized their patient records, governments have been opening up their repositories of information on healthcare (including data from insurance customers and clinical trials), and pharmaceutical companies have been aggregating years of research and development data. Coupled with the advancements in data collection and analysis techniques, all of these developments point to major breakthroughs in how Healthcare Industry utilizes its data.

Some examples from the applications of Big Data and Analytics in the Healthcare Industry Include: 

  • Encouragement of use of digital medical records by designing systems that promote efficient and safe sharing of patient or clinical records across different healthcare providers/hospitals.
  • Promotion of evidence-based medicine by aggregating data from different sources (clinical trials, patient records, research papers), and granting healthcare providers and physicians secure access to this data.
  • Using sensor-based systems to help healthcare providers track the usage of a certain type of drug by a certain group of patients with a specific type of illiness. This information can be imported to a central database, and can be used to identify trends in populations, individuals, or groups. This data can then be merged with data from Centers for Disease Control and Prevention to identify subtle preventive measures physicians can take.
  • Educating patients about their medications and treatments via applications that utilize dynamic data from different studies and researches. 

According to the Institute for Health Technology Transformation, in 2012, the amount of U.S. healthcare data reached 150 exabytes. That’s 150 billion gigabytes. The sheer size of this data, coupled with the lack of data scientists, is a major challenge for healthcare organizations in today’s world.

Experfy has been collaborating with leaders and practitioners in the healthcare analytics industry to tailor courses specifically designed to address the challenges in healthcare. Whether you’re a passionate student looking for a career in healthcare analytics, or a seasoned executive hoping to drive change in an organization, Experfy's courses on Healthcare Analytics will enable you to accelerate your career by gaining practical skills. 

According to Indeed, the average salary for a data scientist operating in the Healthcare domain is $125,000/year.

All Courses of this Track


Industry Track (Healthcare & Life Sciences), Executive Track

Health Insurance 101

Tan Wong

Get a better understanding of health insurance market, products, and common risks!


Industry Track (Healthcare & Life Sciences), Big Data, Data Analyst, Data Science

Introduction to Healthcare Analytics

Dr. Ann E.K. Um

Healthcare Analytics: Concepts, Definitions, Technologies, and Implementations


Industry Track (Healthcare & Life Sciences), Machine Learning, Data Science

Machine Learning Assisted Clinical Medicine

Damiano Fantini

Analyze Clinical and Biomedical Data Using R and Data Mining / Machine Learning


Industry Track (Healthcare & Life Sciences), Data Analyst, Data Science

Predictive Analytics for Personalized Treatment Plans

Dr. Carol Hargreaves

'Prescribing the Right Treatment to the Right Patient at the Right Time'

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