Data Science in Healthcare (Online Certificate Program)

Transformative data analytical skills for the healthcare industry. *This course requires mandatory moderate knowledge of some type of analysis coding tools (such as SaS, SPSS, or R), college-level mathematics, and statistics.

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Course Dates

STARTS ON

TBD

Course Duration

DURATION

8 weeks, online
4-6 hours per week

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:

Prerequisites: This course requires mandatory moderate knowledge of some type of analysis coding tools (such as SaS, SPSS, or R), college-level mathematics, and statistics. Students can take the self-assessment test to verify their math skills prior to commencement of the course. You can view sample questions and answers by clicking here

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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
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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

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Medical Use Case Examples

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50+ Video Lectures

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Knowledge Checks

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Learning Facilitators

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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
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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.

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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.

FAQs

  • How do I know if this program is right for me?

    After reviewing the information on the program landing page, we recommend you submit the short form above to gain access to the program brochure, which includes more in-depth information. If you still have questions on whether this program is a good fit for you, please email learner.success@emeritus.org, and a dedicated program advisor will follow-up with you very shortly.


    Are there any prerequisites for this program?

    Some programs do have prerequisites, particularly the more technical ones. This information will be noted on the program landing page, as well as in the program brochure. If you are uncertain about program prerequisites and your capabilities, please email us at learner.success@emeritus.org for assistance.


    Note that, unless otherwise stated on the program web page, all programs are taught in English and proficiency in English is required.


    What is the typical class profile?

    More than 50 percent of our participants are from outside the United States. Class profiles vary from one cohort to the next, but, generally, our online certificates draw a highly diverse audience in terms of professional experience, industry, and geography — leading to a very rich peer learning and networking experience.


    What other dates will this program be offered in the future?

    Check back to this program web page or email us at learner.success@emeritus.org to inquire if future program dates or the timeline for future offerings have been confirmed yet.

  • How much time is required each week?

    Each program includes an estimated learner effort per week. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page.



    How will my time be spent?

    We have designed this program to fit into your current working life as efficiently as possible. Time will be spent among a variety of activities including:



    • Engaging with recorded video lectures from faculty
    • Attending webinars and office hours, as per the specific program schedule
    • Reading or engaging with examples of core topics
    • Completing knowledge checks/quizzes and required activities
    • Engaging in moderated discussion groups with your peers
    • Completing your final project, if required

    The program is designed to be highly interactive while also allowing time for self-reflection and to demonstrate an understanding of the core topics through various active learning exercises. Please contact us at learner.success@emeritus.org if you need further clarification on program activities.



    What is it like to learn online with the learning collaborator, Emeritus?

    More than 250,000 professionals globally, across 80 countries, have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded.

    A dedicated program support team is available 24/5 (Monday to Friday) to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.


    How do I interact with other program participants?

    Peer learning adds substantially to the overall learning experience and is an important part of the program. You can connect and communicate with other participants through our learning platform.

  • What are the requirements to earn the certificate?

    Each program includes an estimated learner effort per week, so you can gauge what will be required before you enroll. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page. All programs are designed to fit into your working life.

    This program is scored as a pass or no-pass ; participants must complete the required activities to pass and obtain the certificate of completion. Some programs include a final project submission or other assignments to obtain passing status. This information will be noted in the program brochure. Please contact us at learner.success@emeritus.org if you need further clarification on any specific program requirements.


    What type of certificate will I receive?

    Upon successful completion of the program, you will receive a smart digital certificate. The smart digital certificate can be shared with friends, family, schools, or potential employers. You can use it on your cover letter, resume, and/or display it on your LinkedIn profile. The digital certificate will be sent approximately two weeks after the program, once grading is complete.


    Can I get the hard copy of the certificate?

    No, only verified digital certificates will be issued upon successful completion. This allows you to share your credentials on social platforms such as LinkedIn, Facebook, and Twitter.


    Do I receive alumni status after completing this program?

    No, there is no alumni status granted for this program. In some cases, there are credits that count toward a higher level of certification. This information will be clearly noted in the program brochure.


    How long will I have access to the learning materials?

    You will have access to the online learning platform and all the videos and program materials for 12 months following the program start date. Access to the learning platform is restricted to registered participants per the terms of agreement.

  • What equipment or technical requirements are there for this program?

    Participants will need the latest version of their preferred browser to access the learning platform. In addition, Microsoft Office and a PDF viewer are required to access documents, spreadsheets, presentations, PDF files, and transcripts.


    Do I need to be online to access the program content?

    Yes, the learning platform is accessed via the internet, and video content is not available for download. However, you can download files of video transcripts, assignment templates, readings, etc. For maximum flexibility, you can access program content from a desktop, laptop, tablet, or mobile device.

    Video lectures must be streamed via the internet, and any livestream webinars and office hours will require an internet connection. However, these sessions are always recorded, so you may view them later.

  • Can I still register if the registration deadline has passed?

    Yes, you can register up until seven days past the published start date of the program without missing any of the core program material or learnings.


    What is the program fee, and what forms of payment do you accept?

    The program fee is noted at the top of this program web page and usually referenced in the program brochure as well.

    • Flexible payment options are available (see details below as well as at the top of this program web page next to FEE).
    • Tuition assistance is available for participants who qualify. Please email learner.success@emeritus.org.

    What if I don’t have a credit card? Is there another method of payment accepted?

    Yes, you can do the bank remittance in USD via wire transfer or debit card. Please contact your program advisor, or email us at learner.success@emeritus.org for details.


    I was not able to use the discount code provided. Can you help?

    Yes! Please email us at learner.success@emeritus.org with the details of the program you are interested in, and we will assist you.


    How can I obtain an invoice for payment?

    Please email learner.success@emeritus.org with your invoicing requirements and the specific program you’re interested in enrolling in.


    Is there an option to make flexible payments for this program?

    Yes, the flexible payment option allows a participant to pay the program fee in installments. This option is made available on the payment page and should be selected before submitting the payment.


    Does the program fee include taxes? Are there any additional fees?

    Yes, the program fee is inclusive of any taxes, except for GST for Singapore residents.


    How can I obtain a W9 form?

    Please email us at learner.success@emeritus.org for assistance.

  • What is the policy on refunds and withdrawals?

    You may request a full refund within seven days of your payment or 14 days after the published start date of the program, whichever comes later. If your enrollment had previously been deferred, you will not be entitled to a refund. Partial (or pro-rated) refunds are not offered. All withdrawal and refund requests should be sent to admissions@emeritus.org.



    What is the policy on deferrals?

    After the published start date of the program, you have until the midpoint of the program to request to defer to a future cohort of the same program. A deferral request must be submitted along with a specified reason and explanation. Cohort changes may be made only once per enrollment and are subject to availability of other cohorts scheduled at our discretion. This will not be applicable for deferrals within the refund period, and the limit of one deferral per enrollment remains. All deferral requests should be sent to admissions@emeritus.org.

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Early registrations are encouraged. Seats fill up quickly!