10 Best Healthcare Analytics Courses [2021 DECEMBER] [UPDATED]

Best Healthcare Analytics course tutorial class certification training online

Analyzing healthcare IT operations or informatic process is itself a challenging task that requires additional skills. That’s why most health professionals are moving towards learning healthcare analytics. Sometimes, with a full-time job, it becomes a little challenging to keep up with new learning. Don’t worry; we are here to help you. We have gathered a list of some of the Best Healthcare Analytics Courses, Classes, Training, Tutorials, Certification, and Specialization programs available online This list comprises all the essential study material that you need to become an expert in healthcare analysis. Check out our list of Health Courses.


10 Best Healthcare Analytics Courses & Certification [2021 DECEMBER] [UPDATED]

1. Heath Informatics Specialization by Johns Hopkins University (Coursera)

Coursera offers a wide variety of programs and tutorials, but this specialization is specially designed for health IT vendors, administrators, and medical facilitators. It is prepared with a combination of social and technical contexts involved in health informatics to help you gain real-world experience. Joining this specialization will provide you all the relevant topics used to tackle health informatics challenges along with decision support. After concluding the specialization, you’ll be able to analyze, extract, and modify datasets to solve health informatics problems. This program is compatible and reliable for both freshers as well as health informatics professionals.


Key USPs – 

– Provides a detailed overview of health informatics and valuable tactics used to address the various problems and create the right set of solutions.

– Learn the basics of analyzing, retrieving, extracting, and modifying datasets that can help predict and tackle health informatics problems.

– Understand the significance of decision support and design a solution to tackle health informatics challenges while articulating a coherent problem definition.

– Gain professional guidance from the industry’s best experts and instructors, well-recognized from the world’s best education/business institutes.


Duration: 5 Months

Rating:  4.6 out of 5

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2. AI in Healthcare Specialization by Stanford (Coursera)

Artificial intelligence (AI) has brought a great revolution in every industry, businesses, and users are getting a great experience while utilizing its applications. This specialization program from Coursera is focused on teaching you the fundamentals of AI in the healthcare industry. It will help you learn the utilization and functioning of AI in the healthcare industry. It includes analysis of clinical data, implementation of machine learning, implementation of AI applications, and increment in AI-based healthcare applications’ security. Besides, you will be able to achieve more goals for healthcare growth while implementing secure data elements.


Key USPs – 

– Understand the fundamentals of artificial intelligence (AI) and its applications in the healthcare industry for problem-solving.

– Discuss the present and future applications of AI in the healthcare industry to learn how to bring AI technologies into your clinic or health centers.

– Analyze the impacts of AI technology on patients care as well as data security with qualitative measures and in-depth research.

– Learn to implement the best AI-based problem-solving practices and optimize the operations involved in the business of medicine.

– Work with a capstone project included within the program to help you test your knowledge in the real-world.


Duration:  9 Months

Rating:  4.6 out of 5

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

This is another practical course from Udacity, created in collaboration with Georgia Tech, to help you learn the importance of big data analytics in the healthcare industry. In this curriculum, you’ll get a solid understanding and adaption of big data analytics in the healthcare industry, driven by the assistance of expert mentors. It includes complete learning of big data concepts, monitoring healthcare systems, and utilizing major technologies. Moreover, students will also be able to perform learned skills in real-time projects available in the course. After course completion, you’ll be well equipped with all the skills and knowledge required to implement big data analytics in the healthcare industry.


Key USPs – 

– Covers some of the most fundamental data science concepts and their implementation in real-time projects, along with their benefits.

– Learn about computational and statistical analysis of healthcare datasets extracted through machine learning concepts.

– Learn the utilization of trending big data technologies like Hadoop, MapReduce, and Spark throughout the course run.

– Consistence assistance from the industry’s leading mentors and instructors to gain more experience along with the projects.

– Enroll yourself in the Flying Car and Autonomous Flight Engineer nano degree program after finishing this course.


Duration:  Months

Rating: 4.5 out of 5

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4. Healthcare Analytics: AI, Big Data & Digital Transformations (Rotman School of Management)

Offered by Rotman School of Management, this online healthcare analytics program will enable you to learn how to ask the right questions to data analysts while building data analytics knowledge. Enrolling in this productive prospectus will allow you to learn how to use data to drive cultural change in your organization. The curriculum is prepared with a step-by-step approach to help you gain comprehensive knowledge of the significance of the emerging roles of artificial intelligence in healthcare and its applications for improving your organizational processes and outcomes. At the end of the curriculum, you’ll get to work with real-world application exercises, knowledge checks, and various quizzes.


Key USPs –

– A blended syllabus to learn how to craft the narrative for your organization’s data literacy while improving the data fluency

– Learn to explore the data generation process, how to categorize data, the different types of variables used with data, and analysis for the healthcare industry

– Learn to examine the impact of data distribution and the purpose of dashboards in monitoring key performance indicators

– Know about effective strategies for applying regression analysis to make predictions and estimate the effect and the knowledge


Duration: 7 weeks, 4-6 hours/week

Rating: 4.5 out of 5

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5. Health Information Literacy for Data Analytics Specialization by UC Davis (Coursera)

This is another excellent specialization from Coursera that offers the learning of data analytics skills, utilized to optimize healthcare systems and infrastructure. It consists of four significant courses that focus on specific areas of data analytics, such as data literacy in the health industry, implementation of data models, the building of analytical solutions on health information, and data quality governance. Moreover, you will get a complete exploration of data analytics and tools to recognize, optimize, and integrated healthcare infrastructure. All the instructors involved with this specialization have years of experience in data analytics and information practices. You will get complete experience with hands-on projects and assignments.


Key USPs – 

– Learn and understand the fundamentals of data analytics and different tools required to optimize healthcare information systems.

– Learn to utilize data modeling techniques and how to compare the working of healthcare infrastructure with other optimized models.

– Monitor the quality of healthcare data structures and build the most appropriate data extraction sources with real-time examples.

– Get hands-on experience of real-world projects available on Coursera while implementing the learned skills to make healthcare systems more productive.


Duration: 4 Months

Rating:  4.4 out of 5

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6. The Data Science of Health Informatics by Johns Hopkins University (Coursera)

Healthcare systems analyze and store a lot of data every year, and in order to optimize their data systems, individuals need expertise in health informatics. Designed by experienced instructors of Johns Hopkins University, this course is an excellent option to learn about health informatics. It includes the learning of data science models, application of data modeling techniques, formulation of data sources, and optimization of real-world information models. Moreover, this course will help the health professionals to bring more relevant outcomes for the medical centers and healthcare facilities. During the lessons, you will also get to know various practices involved in optimizing different datasets.


Key USPs – 

– Learn and understand the analysis of different data types involved with clinical infrastructure and population-level systems.

– Know about different practices and tactics involved in the data science fundamentals while building problem-solving strategies.

– Learn to identify healthcare information management problems while building and optimizing various data models.

– Learn to differentiate between data questions and data queries while dealing with a healthcare information problem.

– Gain hands-on experience from real-world projects involved with the financial management systems using different data science practices.


Duration: 10 Hours

Rating: 4.7 out of 5

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Reviews: It gave me a very in-depth understanding of different Databases and how they are being used in the modern health care space. I would recommend it to someone who has some experience in health care. — Mitul



7. Data Analytics and Visualization in Health Care by RITx (edX)

Big data and data analytics are two crucial aspects that are transforming healthcare information structures. If you want to learn how big data and visualization can help analyze health informatics, this is an ideal course. Ideally prepared for data professionals, this course will help you learn and understand data modeling techniques’ significance while implementing analytics tools. You’ll learn to analyze the challenges involved with the healthcare information management systems and implement the data visualization techniques to optimize the datasets. With the help of this curriculum, you will get experience from real-time projects and bring better outcomes. At the end of this course, you will be able to analyze, interpret, and optimize massive datasets.


Key USPs – 

– Learn to identify and understand data analytics practices while building strategies to optimize healthcare information systems.

– Determine the challenges of healthcare data management infrastructure and implement analytical solutions for better outcomes while identifying health information technology components.

– Learn to implement the core components of data analytics tools and bring more outcomes from the analyzed data through different practices.

– Get experience from real-world healthcare management systems and implement new practices to monitor the behavior of datasets.


Duration: 8 Weeks, 8-10 hours/week

Rating: 4.5 out of 5

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8. AI for Healthcare (Udacity)

This is an excellent course from Udacity that is prepared to help you learn how to use Artificial intelligence (AI) in the healthcare industry. It is focused on teaching and explaining how AI utilization is rapidly increasing in every primary sector, especially in healthcare. This course is all about studying the advanced diagnosis techniques using AI-based augmentation. From classifying and segmenting multi-dimensional medical images, you will be able to recognize electronically generated records efficiently. Enrolled candidates will also get professional learning experiences from the best mentors during each session of the course. Real-world examples are also available to explore and gain more outcomes through predictive healthcare systems available in various medical centers.


Key USPs – 

– A valuable course that offers an overview of the AI-based analytical techniques used to extract data from 2D and 3D visuals and images of the medial reports.

– Learn to analyze and implement machine learning algorithms to extract data from 3D images and visual models in the medical reports.

– Learn about the electronic health record (EHR) systems and their utilization through AI-based interpretation models.

– Be able to observe and implement the applications of AI-based tools to wearable devices as well as connected systems in the organization.


Duration: 4 Months

Rating: 4.8 out of 5

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Reviews: The program is difficult but it’s the right kind of difficulty where you have to review the material presented a couple of times in order to complete the project. This kind of difficulty helps to both reinforce and synthesize concepts. Highly recommended. — Allen W.



9. Healthcare Analytics Certificate Program (UC Davis)

The rapid adoption of automated electronic devices in the healthcare industry can be seen easily. These devices are helping healthcare professionals and individuals manage several operations and data analytics, and risk management. UC Davis is offering a complete course for individuals to learn analytics and follow a disciplined procedure. It will help you understand the analysis of different data management frameworks and implement the solutions to optimize healthcare systems. The course is designed and reviewed by experienced professionals at UC Davis Continuing and Professional Education. At the end of this curriculum, you will be able to work with top and advanced healthcare systems for better data optimization.


Key USPs – 

– Learn about the latest trends in the healthcare industry regarding services and value-based purchasing through data analytics.

– Learn and understand advanced statistical modeling techniques based on analyzed data structures and process-oriented information.

– Be able to integrate analytical data structures to assess the performance of healthcare systems while maintaining the consistency of processes.

– Gain world-class learning experience, developed by industrial experts while offering career guidance through real-world examples and hands-on exercises.


Duration: 15 Months

Rating: 4.5 out of 5

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10. Certificate in Healthcare Analytics (Dignity Health Global Education)

If you want to gain sufficient experience and skills to analyze and monitor a vast number of data and optimize your IT assets, this course from DHGE is a great choice. This certification course is based on healthcare analytics that will help you identify and extract the most crucial datasets. It will help you learn about the analysis of healthcare informatics, predictive data modeling, and improvising decision-making processes. Besides, you will get information about the leading backup applications that process a massive amount of data. At the end of the program, you will also get complete demonstrations of real-time systems.


Key USPs – 

– Learn and adapt the concepts of descriptive analysis while understanding the working of healthcare systems and how to analyze them.

– Understand the working of probabilistic theories and how to implement them in analyzing the healthcare datasets to improve their systems.

– Learn to utilize analytics to optimize the decision-making process and make the healthcare framework systems more accurate.

– Work with real-time projects included in the program to implement the learned skills and gain more experience along the course.

– Learn to ask questions that matters, evaluate data collection schemes, and interpret complex data sets from various sources.


Duration: 8 Weeks

Rating: 4.4 out of 5

You can Sign up Here



11. Healthcare Analytics (UCI Continuing Education)

Healthcare analytics is rapidly increasing and helping institutions, medical centers, and other facilities to improve their data management infrastructure. This course on UCI Division of Continuing Education will help you learn health informatics along with advanced analytics. It will help you discover the most crucial data assets, building modeling strategies, and manage healthcare data systems. It is ideally designed for professionals who want to pursue or advance their careers in healthcare analytics. In this course, you’ll learn how to analyze, visualize, and optimize digital healthcare infrastructure using analytical data modeling. Taking and completing this program will give you the opportunity to explore and implement analytics in your medical centers and facilities.


Key USPs – 

– Learn to utilize the most productive and crucial data analysis resources along with the extraction of relevant information.

– A complete overview of analytical tools with the learning of their utilization with the real-time projects available in the healthcare industry.

– Learn how to evaluate the analytical models used to determine the loopholes in healthcare systems and develop optimization strategies.

– Get introduced to artificial intelligence (AI) concepts and tools in healthcare for better outcomes and data visualization.


Duration: 6- 12 Months

Rating: 4.4 out of 5

You can Sign up Here



12. Healthcare Management and Analytics (Indian Institute of Management Kozhikode)

Next batch yet to be announced

This executive program in healthcare management and analytics will provide you with a detailed healthcare industry overview and its scope in India. It will help you become an industry-ready healthcare professional while developing useful data-driven decision-making abilities towards improved healthcare solutions. You will learn and understand the concepts and techniques related to the healthcare ecosystem’s critical functional areas while gaining insights into emerging trends, challenges, and opportunities in the healthcare industry. The video sessions are recorded by the experienced staff of the Indian Institute of Management Kozhikode, which means you’ll get the best learning experience.


Key USPs –

– Learn how to formulate and implement an effective growth strategy in healthcare delivery systems and management.

– Learn how to integrate and use analytical tools, such as data modeling and predictive analytics for effective healthcare management.

– Grow the necessary management and communication competencies to lead the 21st-century healthcare ecosystem.

– Work with multiple hands-on exercises, projects, graded assignments, and other study material to become a professional in using analytical tools and techniques.

– Be able to build your entrepreneurial, intrapreneurial skills based on an advanced understanding of relevant issues in healthcare management.


Duration: 10 months

Rating: 4.6 out of 5

You can Sign up Here


The above courses will provide you with an in-depth understanding and knowledge of healthcare analytics with different technologies and methods. The list is created after gathering information from top institutions and e-learning resources. It is perfect for all individuals, including beginner, intermediate, and experts.