8 Best Healthcare Analytics Courses - Learn Healthcare Analytics Online
The Best Healthcare Analytics Courses online for beginners to learn Healthcare Analytics in 2024.
Health Care Analytics is a healthcare analysis based on data from four areas: health claims and cost data; pharmaceutical R & D data; clinical data from electronic medical records (EHRs); data on patient behavior and mood; and patient behavior, preferences, and retail purchases.
The health data analysis provides a combination of financial and administrative data and information for hospitals and health managers to support patient care efforts, better services, and the improvement of existing procedures
As the pandemic has raised awareness of the issue, the volume of health data continues to grow, and opportunities for healthcare professionals to analyze and use data to improve patient care are increasing. In addition to using health data analysis to improve clinical care, researchers are also finding ways to improve cost-effective care through data-driven analysis of financial systems, supply chain fraud, and human resources
Keeping this in mind, here at Coursesity, we have curated some of the Best Online Healthcare Analytics courses with certification. Hope that you will find the best Healthcare Analytics course for you to learn how to examine patterns in different health data to determine how to improve clinical care and limit excessive spending.
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Top Healthcare Analytics Courses List
1. H16: Analytics in Healthcare, Plain & Simple
A journey from simple data to machines that can help us accurately predict outcomes and formulate actionable insights.
In this course, you will learn:
- basics of analytics.
- power of analytics in significantly improving our understanding, prediction, and treatment of disease.
- different types of analytics and what they mean to the future of healthcare
With this Healthcare analytics course, you will learn the basic concepts of information technology and systems in a very simple and easy-to-understand format using many examples from both non-healthcare and healthcare environments.
By the end of this course, you will learn how to share valuable "Insights" from all this data, from which people can make intelligent decisions on care and treatment.
You can take H16: Analytics in Healthcare, Plain & Simple certification course on Udemy.
Course rating: 4.3 out of 5.0 ( 4 Ratings total)
Certificate: Certificate on completion
2. Health Information Literacy for Data Analytics
This Specialization is intended for data and technology professionals with no previous healthcare experience who are seeking an industry change to work.
In this course, you will learn how to:
- analyze the various types and sources of healthcare data, including clinical, operational, claims, and patient-generated data.
- compare and contrast common data models used in healthcare data systems.
- assess the quality of healthcare data and make appropriate interpretations of meaning according to data sources and intended uses.
- create a data dictionary to communicate the source and value of data.
With this Healthcare Analytics course, you will learn to identify the types, sources, and challenges of healthcare data along with methods for selecting and preparing data for analysis.
You will examine the range of healthcare data sources and compare terminology, including administrative, clinical, insurance claims, patient-reported and external data.
Furthermore, you will complete a series of hands-on assignments to model data and to evaluate questions of efficiency and effectiveness in healthcare. This Specialization will prepare you to be able to transform raw healthcare data into actionable information.
You can take Health Information Literacy for Data Analytics certification course on Coursera.
Course rating: 4.5 out of 5.0 ( 100 Ratings total)
Duration: 48 h
Certificate: Certificate on completion
3. The Data Science of Healthcare, Medicine, and Public Health
Learn how the dramatically increased quantities of data—and the methods for analyzing this data—are changing the theory and practice of healthcare.
The course includes:
- Applying Data Science to Healthcare, Medicine, and Public Health
- Data Science and Genetics
- Data Science and Cancer
- Data Science and Mental Health
- Data Science and Epidemiology
- Data Science for Needs and Outcomes Assessments in Healthcare
- Predictive Modelling in Healthcare
- Data Ethics in Healthcare, Medicine, and Public Health
- Careers for Data Scientists in Healthcare, Medicine, and Public Health
Data analytics plays an increasingly pivotal role in how we go about managing our healthcare systems and our health. This Healthcare Analytics course explores a variety of ways to apply data science to medicine and public health.
Learn the ways that dramatically increased quantities of data from genetic testing, genealogy, blood testing, brain scans, and other sources are changing the theory and practice of healthcare.
As the course looks over key data sources, it also explores the different methods for analyzing this wealth of data, including machine learning and predictive modeling. Discover how data science can help predict outbreaks, find cures, help with healthcare costs, and more.
You can take The Data Science of Healthcare, Medicine, and Public Health certification course on Linkedin Learning.
Course rating: 74,524 total enrollments
Duration: 1 h 10 m
Certificate: Certificate on completion
4. Health Informatics
This Specialization is intended for health professionals, administrators, health IT staff, vendors, startups, and patients who need or want to participate in the health IT/informatics process.
In this course, you will learn how to:
- articulate a coherent problem definition and a plan for addressing a health informatics problem.
- answer a health informatics problem through data retrieval and analysis.
- design a health informatics solution for decision support.
- create change management and deployment plan for a health informatics intervention.
- understand the social and technical context of health informatics problems.
- successfully implement health informatics interventions.
Initially, you will build the understanding of data and creation of interventions at the many levels at which health IT interact and affect the institution. Learn to make a quick assessment of a health informatics problem—or a proposed solution—and to determine what is missing and what more needs to be learned.
Next, you will learn how to harness the power of big data in healthcare, improving EHR adoption, and separating the hope vs hype when it comes to digital medicine.
Finally, you will learn how to create a comprehensive plan for an informatics intervention of somebody else's choosing, and that will demonstrate to current or future employers the new skills obtained through the completion of this Healthcare Analytics.
You can take the Health Informatics certification course on Coursera.
Course rating: 4.4 out of 5.0 ( 443 Ratings total)
Duration: 60 h
Certificate: Certificate on completion
5. Healthcare Analytics: Regression in R Online Class
Discover linear regression modeling and logistic regression modeling using R. Learn about how to prepare, develop, and finalize models using the forward stepwise modeling process.
The course includes:
- Designing Your Research
- Preparing for Linear Regression
- Beginning Linear Regression Modeling
- Final Linear Regression Modeling
- Preparing for Logistic Regression
- Developing the Logistic Regression Model
This course uses the publicly available Behavioral Risk Factor Surveillance Survey (BRFSS) dataset to show you how to perform a forward stepwise modeling process. Next, it shows you how to design your research by considering scientific plausibility selecting a hypothesis.
Then, this Healthcare analytics course takes you through the steps of preparing, developing, and finalizing both a linear regression model and a logistic regression model. It also shares techniques for how to interpret diagnostic plots, improve model fit, compare models, and more.
You can take Healthcare Analytics: Regression in R Online Class certification course on LinkedIn Learning.
Course rating: 74,524 total enrollments
Duration: 1 h 10 m
Certificate: Certificate on completion
6. Introduction to Statistics & Data Analysis in Public Health
Welcome to Introduction to Statistics & Data Analysis in Public Health!
In this course, you will learn how to:
- defend statistics' critical role in modern public health research and practice.
- use descriptive statistics and graphical methods in R.
- describe a data set from scratch, including data item features and data quality issues.
- choose and apply appropriate methods for formulating and examining statistical associations between variables in a data set.
- interpret the results of your analysis and evaluate the role of chance and bias.
This Healthcare analytics course will teach you the fundamental building blocks of statistical analysis - types of variables, common distributions, hypothesis testing - but it will also teach you how to take a data set you've never seen before, describe its key features, learn about its strengths and quirks, run some critical basic analyses, and then formulate and test hypotheses based on means and proportions.
You will also learn how to use the popular, flexible, and completely free software R, which is used by statisticians and machine learning practitioners all over the world. Because it is hands-on, you will first learn how to phrase a testable hypothesis through examples of medical research as reported in the media.
You can take Introduction to Statistics & Data Analysis in Public Health certification course on Coursera.
Course rating: 4.7 out of 5.0 ( 1,027 Ratings total)
Duration: 16 h
Certificate: Certificate on purchase
7. Health Informatics Technology in Population Healthcare Analytics
Explore health informatics solutions that answer population health challenges.
In this course, you will learn:
- Population Health, Health Informatics, and Public Health.
- the difference and connection between Population Health and Informatics.
- how population health is being managed through Health Informatics.
- how you can apply the concepts of informatics to understand how healthcare is changing the health of the population.
- emerging trends in health informatics.
- how to recognize informatics solutions for public health challenges.
Health informatics technology (HIT) in the field of study focuses on acquiring, storing, and retrieving healthcare data. To address the challenges of safety, quality, effectiveness, and efficiency in healthcare systems for population health, HIT is essential.
Electronic healthcare records and data are dynamic and at a population level, HIT enables the use of aggregate data to refine and enhance our understanding of what interventions are most clinically and cost-effective for subsets of patients within a population.
You can take Health Informatics Technology in Population Healthcare Analytics certification course on Edx.
Duration: 15 h
Certificate: Certificate on completion
8. Use Data Science to Improve Healthcare - Online Course
Learn how to use data science in healthcare settings to improve standards and services, with this online course.
In this course, you will learn how to:
- understand the value of data science and analytics for improving health and care service design and provision.
- apply key techniques for Data Collection, Preparation, and Management.
- understand Data Analytics methods and tools and their practical uses in health and social care.
- apply ethical and information governance considerations.
- produce and communicate meaningful insight from data analytics.
Here, you will discover the principles of healthcare data analytics. Discover best practices around data governance, tools to help you manage and analyze data, and how to work collaboratively with data scientists and digital teams.
Using real-world case studies, you’ll gain practical experience of the link between health and data science, that you can use to create more sustainable health and social care services.
You can take Use Data Science to Improve Healthcare - Online Course certification course on Futurelearn.
Course rating: 3.9 out of 5.0 (11 Ratings total)
Duration: 12 h
Certificate: Certificate on purchase
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