Data Science in Healthcare (Online Certificate Program)

Get Your Brochure

Course Dates

STARTS ON

February 24, 2022

Course Duration

DURATION

8 weeks, online
4-6 hours per week

Course Duration

Note: This course requires mandatory moderate knowledge of some type of analysis coding tools (such as SaS, SPSS, or R), college-level mathematics, and statistics.

Limited Time Offer!

US$2,600 US$1,950

Capture the Potential of Healthcare Data

The volume of data generated by hospitals, health systems, medical staff, and patients is driving an urgent need for expertly trained analysts who can get the data right. Analytical skills are as essential in an epidemic as they are in everyday wellness care, as vital for patients as they are for providers. These data skills are critical for analysts anywhere on the healthcare spectrum – on the clinical, pharmaceutical, risk, or management side. You must know how to operationalize systems to collect, measure, aggregate, interpret, and share the data your healthcare company and its partners need. Optimizing your data science skills can lead to better therapeutic options, enhanced business results, and – most important – improved patient outcomes.

Consider the impact of big data on both business health and patient health:

Decorative image relating to text that follows

As much as 25% of U.S. per capita spending on healthcare is wasteful. Much of this waste can be mitigated by sharing and analyzing data

SOURCE: FORBES
Decorative image relating to text that follows

Predictive analytics greatly improves oncologists’ diagnoses. Google’s AI algorithm may detect as many as 99% of metastatic breast cancers. Not surprising, 89% of healthcare executives plan to use predictive analytics in the next five years.

SOURCE: HEALTHTECH

Key Takeaways

In this program, you will learn to:

  • Identify, understand, and critique the source of a result
  • Choose the most appropriate tool from a set of analytical tools for your healthcare application
  • Understand R coding and Python and modify that code for a specific task
  • Appropriately format, analyze, and present healthcare data to optimize its use

Who Is This Program For?

Data Science in Healthcare is designed for technical professionals who have at least a moderate level of comfort with some type of analysis coding tools (such as SaS, SPSS, or R), college-level mathematics, and statistics. In this program, you will learn to:

  • Use RStudio and Python analytics tools to address specific healthcare applications
  • Use predictive analytics for public health issues
  • Use data science to increase efficiency on the operations side
  • Understand how to design precision solutions for patient care using AI
  • Use predictive analytics to prevent fraud and other undesired outcomes

Although these topics could be applied to a range of businesses, this program will be particularly useful for entry to mid-career professionals in roles similar to the following:

Analysts - Ideal for professionals working in analytics roles in healthcare or industries adjacent to healthcare, such as insurance, pharmaceuticals, or biotech.

Mid-Level Managers - Ideal for professionals on the executive track who have quantitative responsibilities and relevant experience in a healthcare field.

Entry-Level Professionals - Ideal for professionals just beginning their careers who are looking to develop a data foundation with applications in the healthcare industry.

Representative roles well suited to this program include:

  • Data Analyst
  • MIS Analyst
  • Healthcare Analyst
  • Clinical Analyst
  • Business Analyst
  • Healthcare Operations Analyst
  • Hospital Research Analyst
  • Fraud Analyst
  • Healthcare Fraud Investigator
  • Financial Analyst
  • Risk Analyst

Program Highlights

Decorative image relating to text that follows

Medical Use Case Examples

Decorative image relating to text that follows

50+ Video Lectures

Decorative image relating to text that follows

Knowledge Checks

Decorative image relating to text that follows

Learning Facilitators

Decorative image relating to text that follows

Weekly Q&A Sessions

Program Topics

Module 1:

Statistical Programming Tools for Health Data Science | Accessing your data with R or Python

Module 2:

Data Wrangling | Preparing your data for analysis

Module 3:

Visualization of Healthcare Data | Presenting your data to facilitate communication

Module 4:

Linear Regression | Using analysis to estimate relationships between variables

Module 5:

Logistic Regression | Using analysis to determine probabilities of health outcomes

Module 6:

Elements of Machine Learning | Using data to create artificial intelligence models for predictions and decision-making

Module 7:

Bayesian Analysis | Using analysis to determine the probabilities of beliefs and hypotheses

Module 8:

Network Analysis | Using analysis to reveal interdependencies and interrelationships between activities and events

Module 1:

Statistical Programming Tools for Health Data Science | Accessing your data with R or Python

Module 5:

Logistic Regression | Using analysis to determine probabilities of health outcomes

Module 2:

Data Wrangling | Preparing your data for analysis

Module 6:

Elements of Machine Learning | Using data to create artificial intelligence models for predictions and decision-making

Module 3:

Visualization of Healthcare Data | Presenting your data to facilitate communication

Module 7:

Bayesian Analysis | Using analysis to determine the probabilities of beliefs and hypotheses

Module 4:

Linear Regression | Using analysis to estimate relationships between variables

Module 8:

Network Analysis | Using analysis to reveal interdependencies and interrelationships between activities and events
Download Brochure

Program Faculty

Faculty Member CHRISTIAN DARABOS, PhD

CHRISTIAN DARABOS, PhD

Lecturer, Biomedical Data Science & Assistant Director of Research Informatics

At Dartmouth, Dr. Darabos manages and coordinates research projects across departments. His research focuses on biologically inspired heuristics applied to modeling complex dynamical systems... More info

Faculty Member Eugene Demidenko, PHD

Eugene Demidenko, PHD

Professor of Biomedical Data Science, Professor of Community and Family Medicine, Adjunct Professor of Mathematics & Adjunct Professor of Engineering

At Dartmouth, Dr. Demidenko teaches statistics to undergraduate students and graduate students in the Quantitative Biomedical Sciences program at the Geisel School of Medicine. He is an expert in theoretical... More info

Faculty Member Todd A. MacKenzie, PHD

Todd A. MacKenzie, PHD

Professor of Biomedical Data Science, Professor of Medicine & Professor of The Dartmouth Institute

At Dartmouth, Dr. MacKenzie teaches biostatistics in the Quantitative Biomedical Sciences program at the Geisel School of Medicine. His research focuses on the use of data science to help clinical and health services... More info

Faculty Member James O’Malley, PHD

James O’Malley, PHD

Professor of Biomedical Data Science and of The Dartmouth Institute for Health Policy and Clinical Practice & Adjunct Professor of Mathematics and Computer Science

At Dartmouth, Dr. O’Malley teaches biostatistics at The Dartmouth Institute and the Biomedical Data Sciences program at the Geisel School of Medicine. His research focuses on applying statistical methods to health policy... More info

Faculty Member RAMESH YAPALPARVI, PhD

RAMESH YAPALPARVI, PhD

Course Director, Master’s Program in Healthcare Data Science

At Dartmouth, Dr. Yapalparvi is the course director for the graduate program in healthcare data science, data mining, and data visualization in the Quantitative Biomedical Sciences program at the Geisel School of... More info

Certificate

Example image of certificate that will be awarded after successful completion of this program

Certificate

Upon successful completion of the program, participants will receive a verified digital certificate of participation from Dartmouth QBS.

Download Brochure

Your digital certificate will be issued in your legal name and emailed to you at no additional cost, upon completion of the program, per the stipulated requirements. All certificate images are for illustrative purposes only and may be subject to change at the discretion of Dartmouth.

Apply Now

Early registrations are encouraged. Seats fill up quickly!

Flexible payment options available. Learn more.