Best Healthcare Analytics Classes and Certificate Programs

Best Healthcare Analytics Classes
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What do you mean by Healthcare Analytics? The use of massive amounts of collected data to provide organizations with actionable insights is referred to as healthcare analytics.


Analytic disciplines are used to generate these insights, which are then used to drive fact-based decision-making. These decisions, in turn, improve planning, management, measurement, and learning.


Analytics is critical as healthcare organizations worldwide are challenged to reduce costs, improve coordination with care teams, provide more with less, and focus on improving patient care.


Developing analytics competencies through healthcare analytics courses online can assist healthcare organizations in harnessing big data to generate actionable insights. These insights can be used by healthcare providers, hospital system leaders, and those in government health and human services to improve outcomes and deliver value to the people they serve.


How do you learn about this emerging field? Well, it’s most convenient to take healthcare data analytics courses available online.


13 Best Healthcare Analytics Certification Courses

  1. AI in Healthcare Specialization offered by Stanford University (Coursera)
  2. Health Informatics Specialization offered by Johns Hopkins University
  3. AI for Healthcare by (Udacity)
  4. Big Data Analytics in Healthcare by Georgia Tech (Udacity)
  5. Data, Models, and Applications to Healthcare Analytics by Stanford Online
  6. Health Information Literacy for Data Analytics Specialization offered by the University Of California, Davis (Coursera)
  7. Certificate in Healthcare Analytics by Pepperdine University
  8. Healthcare Analytics by Division of Continuing Education
  9. Healthcare Analytics: AI, Big Data and Digital Transformation by Rotman School of Management University of Toronto
  10. Data Analytics and Visualization in Health Care by Rochester Institute of Technology (edX)
  11. Health Data and Analytics by Future Learn
  12. Health Analytics – Graduate Certificate by Cambrian College
  13. Online Healthcare Analytics Graduate Certificate Course by Saint Mary’s University of Minnesota


13 Best Healthcare Analytics Certificate Programs and Courses

1. AI in Healthcare Specialization offered by Stanford University (Coursera)

AI in Healthcare Specialization offered by Stanford University


In this healthcare analytics course online, the instructor will discuss AI’s current and future applications in healthcare. This specialization aims to tell you how to bring AI technologies into the clinic safely and ethically.


These are the best healthcare data analytics courses intended for both healthcare providers and computer science professionals, and they provide insights to help the disciplines collaborate more effectively. This specialization is further broken into five courses.


Rating  4.7 based on 654 ratings
Duration 9 months healthcare analytics certification course
Level  Beginner level course
Refund Policy 7-day free trial
Certificate Provided  Yes
Course Material Provided  Yes
Live Classes/Recorded Lessons  Recorded healthcare analytics training
Course Type  Paid course
Course Instructor Nigam Shah, Laurence Baker, David Magnus, Serena Yeung, Mildred Cho, Steven Bagley, Mathew Lungren and Tina Hernandez-Broussard
Scope for Improvement (Cons) There were program glitches that didn’t allow learners to click certain links.


What topics are covered in this healthcare analytics certificate program?

  • Introduction to Healthcare
  • Physicians, Physician, and payment
  • Hospitals and other related payment systems
  • Health Insurance Plans and Health Care Financing
  • Healthcare products and prescription drugs
  • Work ethics
  • Introduction to clinical data
  • Asking and answering questions via clinical data mining
  • Data available from healthcare systems
  • Handling unstructured healthcare data
  • Electronic phenotyping
  • Fundamentals of Machine learning for healthcare
  • Concepts and principles of machine learning
  • Strategies and challenges in machine learning
  • Evaluations of AI applications in healthcare
  • AI Deployment
  • Regulatory environment for AI in healthcare
  • AI in Healthcare Capstone


What are the learning outcomes of this best healthcare analytics certification course?

  • Find out the problems in healthcare that can be solved through machine learning.
  • Learn how AI affects patient care safety, quality, research, and the business of medicine.
  • Use AI building blocks to help analyze emerging technologies.
  • How to use a medical data mining framework
  • Data ethics in healthcare decision-making
  • How to use potentially inaccurate data in systematic ways
  • What constitutes a good research question, and how to build a data mining workflow to answer it.



No experience is required to pursue this healthcare analytics training.



2. Health Informatics Specialization offered by Johns Hopkins University (Coursera)

Health Informatics Specialization offered by Johns Hopkins University


This specialization is further divided into five healthcare data analytics courses.


It is designed for health professionals, administrators, health-IT staff, vendors, startups, and patients who need or want to be involved in the health IT/informatics processes.


Rating 4.4 based on 473 ratings
Duration 5-month healthcare analytics course online.
Level Beginner level course
Refund Policy 7-day free trial
Certificate Provided Yes
Course Material Provided Yes
Live Classes/Recorded Lessons Recorded healthcare analytics classes
Course Type Paid course
Course Instructor Harold P. Lehmann, Paul Nagy, Sam Meiselman, Ashwini S. Davison and Hadi H.K. Kharrazi
Scope for Improvement (Cons) More practical examples could be included in this healthcare analytics certification course.


Topics Covered

  • The Social and Technical Context of Health Informatics
  • Health information technology for patients and doctors
  • Workflow, Information Systems, and Modules
  • Information System Architecture
  • Developing software
  • Types of clinical data
  • Data exchange
  • Strategic Planning in Health IT
  • Strategic Acquisition
  • Change management in software
  • The Outcomes and Interventions of Health Informatics
  • Leading change in Health Informatics
  • The Data Science of Health Informatics
  • The culminating project in Health Informatics


Learning Outcomes

  • Describe the critical stages in successfully driving transformation in health IT enterprises after learning from this healthcare analytics certificate program.
  • Recognize the significance of interdisciplinary and interprofessional cooperation in health informatics.
  • Use some standard project management and strategic planning tools used by health informaticists.
  • Apply best practices for successful change management in health informatics.
  • Create a clear issue statement and solution strategy for health informatics challenges.
  • Resolve a health informatics problem by retrieving and analyzing data.
  • Create a decision-supporting health informatics solution.
  • Make a strategy for change management and deployment of a health informatics intervention.
  • Determine the potential for healthcare informatics initiatives.
  • For articulating the components of decision support, use a systematic framework as told in this healthcare analytics certification course.
  • Create a knowledge acquisition strategy for decision support.



3. AI for Healthcare by (Udacity)

AI for Healthcare by (Udacity)


Learn how to create, assess, and incorporate predictive models that have the potential to change patient outcomes with Udacity’s best healthcare data analytics courses.


You begin with categorizing and segmenting 2D and 3D medical pictures to help with diagnosis, then progress to modeling patient outcomes using electronic health data to help with clinical trial testing decisions in this best healthcare analytics course online.


Finally, you learn to create an algorithm that estimates the wearer’s pulse rate in the presence of motion using data received from wearable devices in this course.


Duration 4 months course
Level  Intermediate-level healthcare analytics training
Refund Policy  2-day return policy
Certificate Provided  Yes
Course Material Provided  Yes
Live Classes/Recorded Lessons  Recorded lessons
Course Type  Paid course
Course Provider Udacity Healthcare Analytics certification course


Topics Covered

  • Applying AI to 2D and 3D Medical Imaging Data
  • AI to EHR Data
  • Applying AI to Wearable Device Data



Students must have the following knowledge to pursue this  healthcare analytics course online:

  • Python for intermediate users
  • Machine Learning (ML)



4. Big Data Analytics in Healthcare by Georgia Tech (Udacity)

Big Data Analytics in Healthcare by Georgia Tech

Udacity offers the most sought-after healthcare data analytics courses. The increasing amount, complexity, and speed of data necessitate the development of scalable data analytic methods and platforms. We will look at such algorithms and systems in the context of healthcare applications in this healthcare analytics training.


Duration 2 months course
Level Intermediate-level healthcare analytics classes
Certificate Provided Yes
Course Material Provided Yes
Live Classes/Recorded Lessons Recorded healthcare analytics certification course
Course Type Free course
Course Instructor Jimeng Sun, David Joyner (Udacity)


Topics Covered

  • Big Data
  • Predictive Modeling
  • Dimensionality Reduction and Tensor Factorization
  • Graph Analysis
  • Healthcare
  • Computational Phenotyping
  • Patient similarity metrics
  • Medical Ontology
  • Technologies
  • MapReduce
  • Spark Hadoop



  • Python, Java, Scala programming, and system expertise are required for this best healthcare analytics training.
  • Some experience in SQL, and NoSQL such as MongoDB.



5. Data, Models and Applications to Healthcare Analytics by (Stanford Online)

Data, Models and Applications to Healthcare Analytics by (Stanford Online)

Students will master the principles of data science and biological and statistical models in this healthcare analytics certification course.


Following that, this healthcare analytics certificate program will explore applications to medical product safety review, health risk models, environmental health, nutritional epidemiology, wellness, prevention, and theoretical statistical models.


Level Intermediate-level healthcare analytics course online
Certificate Provided Yes
Course Material Provided Yes
Live Classes/Recorded Lessons Recorded healthcare analytics classes
Course Type Paid
Course Provider Stanford Online Healthcare Analytics Certificate Program


Topics Covered

  • An overview of medical product evaluation is provided from pre-licensure clinical trials through post-marketing observational research.
  • Dictionary of drugs and adverse events
  • Multiplicity in clinical safety data assessment
  • Models of pharmacokinetic-pharmacodynamic interactions
  • Support vector machines, gradient boosting, and neural networks are all examples of classification and regression trees.
  • Benefit-risk analysis and multi-criteria decision-making
  • A meta-analysis of many safety studies


Are there any prerequisites for this healthcare analytics certificate program?

  • Graduate students should take STATS202, STATS216, or CS229.
  • A Bachelor’s degree with a 3.3 or higher undergraduate GPA.
  • Undergraduate students must have the instructor’s permission.



6. Health Information Literacy for Data Analytics Specialization offered by University Of California, Davis (Coursera)

Health Information Literacy for Data Analytics Specialization offered by University Of California, Davis (Coursera)

This specialized program comprises four courses in healthcare data analytics. Tailored for data and tech professionals lacking prior healthcare knowledge, the program equips individuals with the skills needed to engage with healthcare data effectively.


Throughout the four sessions of the top healthcare analytics classes, participants delve into diverse healthcare data types, sources, and challenges. The curriculum guides learners in selecting and preparing data for analysis, offering a comprehensive understanding of the intricacies involved.


In the healthcare analytics certification course, you’ll explore and compare terminology while examining various healthcare data sources, including administrative, clinical, insurance claims, patient-reported, and external data.


Hands-on activities form a significant part of the program, allowing you to model data and address efficiency and effectiveness issues within the healthcare domain.


By completing these healthcare analytics classes within the certification program, you will develop the expertise to transform raw healthcare data into actionable insights, gaining valuable skills for the industry.


Rating 4.5 based on 104 ratings
Duration 4 months
Level Intermediate level course
Refund Policy 7-day free trial
Certificate Provided Yes
Course Material Provided Yes
Live Classes/Recorded Lessons Recorded healthcare analytics certification course
Course Type Paid
Course Instructor Brian Paciotti, Doug Berman
Scope for Improvement (Cons) Though it is one of the best healthcare data analytics courses, the lecture slides of this course are not concise.


Topics Covered

  • Healthcare data literacy
  • Concepts and categories
  • Data and conceptual harmony
  • Healthcare data models
  • Data Model and Use Cases They Support
  • Working with data across systems
  • Improving the quality of healthcare data
  • Healthcare data quality and governance
  • Importance of data quality
  • Measuring data quality
  • Monitoring, managing, and improving data quality
  • Sustaining quality through data governance
  • Analytical solutions to common healthcare
  • Solving the business problem
  • Algorithms and Analytical Groupers
  • Analytical process and planning
  • Data mining and predictive modeling
  • Risk Stratification


Is it the best healthcare analytics certification?

Yes, it is surely one of the best because it teaches you the following:

  • First, analyze many types and sources of healthcare data, such as clinical, operational, claims, and patient-generated data.
  • Contrast and compare typical data models used in healthcare data systems.
  • Third, assess healthcare data quality and generate suitable meaning interpretations based on data sources and planned applications.
  • Finally, to convey the source and value of data, use a data dictionary.



At least two years’ experience as a data analyst or IT expert is required for these healthcare analytics classes.



7. Certificate in Healthcare Analytics by (Pepperdine University)

Certificate in Healthcare Analytics by (Pepperdine University)

Participants in these healthcare data analytics courses will gain expertise in thinking about data, arriving at informed conclusions, and making evidence-based and data-backed decisions.


They will learn how to ask the correct questions, analyze data-gathering strategies, and analyze complicated data sets in this healthcare analytics training course.


Expert professors will demonstrate how to use statistical model theories and evaluate approaches. This healthcare analytics certificate program will be facilitator-led to guarantee student success.


Participants will harness healthcare analytics in their business, influence crucial choices, and achieve superior results in just eight weeks of this healthcare analytics certification course.


Topics Covered

  • Introduction to Descriptive Analytics
  • Making inferences and practical probability theory
  • Relationship amongst variables
  • Correlation and regression
  • Multiple regression
  • Forecasting
  • Framework for decision-making
  • Finding optimized solutions in healthcare


What are the learning outcomes of this healthcare analytics course online?

  • Before collecting and analyzing healthcare data, ask the right questions and look for alternate interpretations.
  • Identify biases that may skew decision-making and devise ways to mitigate such biases.
  • Spreadsheets can be used to model mathematics.
  • Understand how to apply useful statistical models to estimate the future.
  • Determine the significance of substantial group differences and their practical worth.
  • Create practical frameworks for identifying, accepting, integrating, and mitigating risk in decision-making.
  • Understand the mathematical theories of optimization that are used to find the best solutions to difficult situations.
  • Create accurate, persuasive, and convincing presentations to guarantee that analysts’ suggestions are implemented.
  • Finally, consider healthcare issues seriously and make decisions using an integrated strategy that draws on knowledge in all relevant areas.



There is no requirement for prior expertise in healthcare informatics, data analytics, or data science for this healthcare analytics certification course. Students should, however, be familiar with basic arithmetic and Microsoft Excel.


Are these the right healthcare analytics classes for you?

  • Leadership and business developers want to broaden their company’s effect
  • Analysts or fresh grads new to healthcare who are new to data analysis and data science
  • Healthcare analysts who want to brush up on or broaden their expertise.



8. Healthcare Analytics by (UCI Division of Continuing Education)

Healthcare Analytics by (UCI Division of Continuing Education)

The healthcare analytics certification specialization program is appropriate for people who wish to pursue or enhance their careers in the domains of healthcare, information, and digital technology.


The healthcare analytics training is intended for professionals seeking evidence-based analytical abilities to create, support, and sustain modern health informatics and digital technology systems.


In a healthcare environment, data analytics may improve patient outcomes, cut costs, enhance the quality of treatment, improve health delivery system performance, and optimize business operations.


Topics Covered

This healthcare analytics certificate program will cover the following topics:

  • Data Assets and Data Strategy in Healthcare Analytics
  • Acquisition and Management of Healthcare Data Data Mining, Visualization, and Decision Making in Healthcare Precision
  • Medicine: An Introduction to Artificial Intelligence (AI) in Healthcare


Learning Outcomes

In these best healthcare analytics classes, you’ll learn to:


  • Apply appropriate tools and techniques to effectively analyze and interpret healthcare data used in this best healthcare analytics training
  • Explain how to use data to improve the quality and safety of patient care outcomes
  • Define the core competencies for health informatics and analytics professionals
  • Describe the process of healthcare data analytics and the tools
  • Explain the prominent roles, goals, and advantages of health informatics and analytics in various healthcare and medical contexts.
  • Describe how health data is utilized to promote population health and the progression of population health from payer to provider and evaluate the role of usability in the adoption of electronic health records.


Is it the right healthcare analytics certification course for you?

  • Physicians, physician assistants, nurse practitioners, nurses, clinicians, healthcare consultants, and related majors seeking careers in healthcare analytics
  • Life science, health science, public health, medical insurance, and other related healthcare fields
  • Healthcare staff in hospitals, medical groups, clinics, and community care centers
  • Data analysts, medical insurers, and other related healthcare fields.



9. Healthcare Analytics: AI, Big Data and Digital Transformation by (Rotman School of Management University of Toronto)

Healthcare Analytics: AI, Big Data and Digital transformation by (Rotman School of Management University of Toronto)

Putting healthcare data to work necessitates leaders and managers who are well-versed in the role of analytics in healthcare and how to incorporate it into their daily operations and decision-making.


This seven-week online healthcare analytics certificate program in Healthcare Analytics: AI, Big Data, and Digital Transformation will teach you how to ask data analysts the right questions, expand your analytics skills, make choices, and create data-driven healthcare solutions.


You’ll also learn how to leverage data to promote organizational culture change so that you can succeed in today’s analytics-driven market with the help of these healthcare data analytics courses.


Duration 7 weeks of healthcare analytics classes
Level Intermediate level course
Certificate Provided Yes
Course Material Provided Yes
Live Classes/Recorded Lessons Online healthcare analytics training
Course Type Paid best healthcare analytics certification course
Course Instructor Avi Goldfarb


Topics Covered

  • Data basics
  • Dashboarding
  • AI and healthcare
  • Regression
  • Perspective Analysis: Scientific thinking in healthcare management
  • Digital healthcare and data analytics
  • Building data-driven healthcare organizations


Learning Outcomes

  • Increased healthcare data literacy, allowing you to interact successfully with data analysts (knowing how and what questions to ask), as well as comprehend, implement, and create a healthcare analytics perspective in your companies and teams.
  • In the healthcare business, the ability to evaluate data analysis results and make data-driven decisions for the best possible outcomes.
  • A knowledge of the relevance of artificial intelligence’s increasing roles in healthcare and how it may be used to improve your organization’s operations and outcomes.


Is it the right course for you?

This healthcare analytics certification course is for executives, managers, and entrepreneurs who work with data teams and want to have more meaningful dialogues with them about how to incorporate data into their healthcare decision-making and company culture.


These best healthcare data analytics courses are ideal for:

  • C-Suite Executives in the healthcare business who want to adopt analytics solutions in their unit, grasp the language of data and establish an analytics plan for their company.
  • Managers at the mid-to-senior level, such as the general manager, corporate director, head of marketing, or head of strategy, want to obtain a practical grasp of using analytics to start new initiatives or launch new business concepts.
  • Finally, it is considered the best healthcare analytics course online for entrepreneurs or consultants in the healthcare industry who want to build an analytics team.



10. Data Analytics and Visualization in Health Care by Rochester Institute of Technology (edX)

Data Analytics and Visualization in Health Care by Rochester Institute of Technology

The best healthcare analytics certificate program begins with an examination of major aspects of the US healthcare system about data and analytics. While we will be looking at things through the eyes of Americans, the themes will be recognizable to international students, who will be encouraged to compare and contrast their own country’s system.


We’ll look at the role of health informatics and health information technology in evidence-based medicine, population health, clinical process improvement, and consumer health with that background in mind.


The best healthcare analytics certification course concludes with a look at how data visualizations may be used to make a compelling, actionable story.


We’ll become more aware of visualization tools and their capabilities and familiarise ourselves with a variety of analytic tools.


Duration 8 weeks of healthcare analytics training
Level Advanced level
Certificate Provided Yes, in the paid track
Course Material Provided Yes
Live Classes/Recorded Lessons Recorded best healthcare analytics classes
Course Type Paid healthcare analytics certification course
Course Instructor Travis Masonis, Matthew Phillips, and Jodi Lubba
Cons This is quite an expensive course.


Topics Covered

The topics covered under this healthcare analytics training are:

  • Introduction to health care, health informatics, and data analytics
  • Visualizations


Learning Outcomes

  • Identify the current dynamics that are disrupting the healthcare business today.
  • Summarize current healthcare trends and their implications for cost, quality, and patient involvement.
  • Explain the importance of health informatics in clinical workflow and patient involvement.
  • Recognize the elements of health information technology.
  • Explain why interoperability is so important in healthcare analytics.
  • Best practices for data collection, processing, and analysis.
  • Examine how artificial intelligence affects the extraction and processing of large data collections.
  • Use a visualization example to interpret data analysis results.
  • Determine the most effective visualization techniques.
  • Make a basic data visualization with healthcare information.



This best healthcare analytics training is designed for people with a bachelor’s degree. Experience in the medical profession is preferred but not essential. A basic understanding of statistics and research methodologies is preferred for this healthcare analytics certification course.



11. Health Data and Analytics by (FutureLearn) 

Health Data and Analytics by (FutureLearn)

These healthcare analytics classes look at the relationship between data analytics and healthcare. After the course, you will be able to use common frameworks and essential ideas in data analytics, systems theory, and information governance.


The first part of the best healthcare data analytics courses looks at how healthcare data is acquired and stored. It then looks at how data analysis is done using information management approaches, machine learning, and data visualization.


Topics Covered

  • Healthcare data
  • Importance of healthcare data
  • Addressing the unique data challenges facing healthcare
  • Data impact healthcare innovation
  • Developing a healthcare data proposal


Learning Outcomes

In these healthcare data analytics courses, you will learn:

  • Investigate healthcare statistics and become familiar with essential medical terms and topics.
  • Identify the most pressing data concerns in healthcare today.
  • Identify existing trends and techniques to cope with healthcare data difficulties and limits.
  • Examine how continuous data-centric health system modifications may be incorporated into such systems to enhance healthcare and health analytics.


Is it the best healthcare analytics course online for you?

This healthcare analytics certification is appropriate for anybody with an interest in big data or health, especially those who work in public or commercial healthcare organizations or do academic research in this field.



12. Health Analytics – Graduate Certificate by (Cambrian College)

Health Analytics - Graduate Certificate by (Cambrian College)

Learn how to use population data to better understand your community’s health and plan for future healthcare needs. Within the framework of the expanding topic of health analytics, you’ll also get a thorough grasp of programming, statistics, and data management.


These abilities will be evaluated and applied throughout this best healthcare analytics certificate program through critical thinking and problem-solving activities, field excursions, and industry speakers, preparing you to support evidence-based decision-making in a range of health-related organizations.



13. Online Healthcare Analytics Graduate Certificate Course by (Saint Mary’s University of Minnesota)

Online Healthcare Analytics Graduate Certificate Course by (Saint Mary's University of Minnesota)

Saint Mary’s University offers healthcare analytics classes that focus on information systems, analytic data frameworks, ethics, and communication.


Because our professors are industry specialists, you will benefit from the practical knowledge they bring to the classroom.


This healthcare analytics course online provides the skills you need to evaluate complex healthcare data and enhance supply chains, processes, and patient care delivery. It includes 15 credits of a multidisciplinary curriculum.


What are the learning outcomes of these best healthcare analytics classes?

  • After completing this course, you will be able to:
  • Apply specific healthcare analytics expertise while adhering to ethical and regulatory factors such as HIPAA regulations and organizational governance.
  • To improve organizational performance and decision-making processes, including health informatics, information systems, and analytic data frameworks.
  • Technical and non-technical stakeholders should be informed about highly sensitive data.
  • Discover problems and assure accuracy, use best-practice data science tools to clinical, insurance, and hospital data.
  • Integrate artificial intelligence to help the company reach its objectives.



Related: Best Online Public Policy Courses



TangoLearn has compiled the 13 best healthcare analytics certification courses for beginners and experienced learners, which they can complete at their own pace. For more details, visit the official websites of these healthcare data analytics courses and choose one.

istemprop="name"> Best Healthcare Analytics Courses 4.4 and reviewed by 18 Healthcare Analytics Experts & 25+ Healthcare Analytics Classes Students

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