These healthcare analytics courses can help you gain great insights

Healthcare is such an industry that always is given the topmost priority. But the difficult task here is to analyze the IT operations or even the information processes which are quite challenging. This is why most healthcare experts are looking towards learning healthcare analytics. Here are the top healthcare analytics courses that can add great value to obtain insights.

Health Informatics Specialization by John Hopkins University

Platform: Coursera

Duration: 5 months

This is considered to be one of the top healthcare analytics courses that can help you gain real-world experiences. This program is compatible and is reliable for both freshers as well as health informatics professionals. This analytics course provides an overview of health informatics addressing various problems to create the right solutions. The program helps in understanding the significance of decision support and design a solution to tackle health informatics challenges from across the world's best business institutions.

AI in Healthcare Specialization by Stanford

Platform: Coursera

Duration: 9 months

AI has revolutionized across industries and users are getting a great experience while utilizing its application. This is one of the top healthcare analytics courses that analyze clinical data, deploy ML and AI applications, and increment in AI-based healthcare applications security. The course helps in understanding the fundamentals of AI  and its applications in the healthcare industry for problem-solving. The program helps to test your knowledge in the real world.

Big Data Analytics in Healthcare by Georgia Tech

Platform: Udacity

Duration: Months

This is one of the top healthcare analytics courses that can give you hands-on experience which is designed by Georgia Tech. The course helps you to learn the significance of big data analytics, especially in the healthcare industry. The program helps in the learning of big data concepts, utilizing major technologies, and monitoring healthcare systems. The program deals with the fundamental data science concepts along with their benefits.

Healthcare Analytics: AI, Big Data & Digital Transformation

Platform: Rotman School of Management

Duration: 7 weeks, 4-6 hours/week

The course is offered by Rotman School of Management which is one of the top healthcare analytics courses that can enable you to learn and build data analytics knowledge. This allows you to learn and gain experience to use data to drive cultural change in the organization. The curriculum will also help you improve your real-world application knowledge, exercises, and checks. The course gives an edge to understand the impact of data distribution and the purpose of dashboards in monitoring key performance indicators.

Health Information Literacy for Data Analytics Specialization

Platform: Coursera

Duration: 4 months

This is another excellent specialization healthcare analytics course that Coursera offers the learning of data analytics. This is one of the top healthcare analytics courses that help in understanding data literacy in the health industry and data quality governance. By the end of the course, you will be able to gain hands-on experience over the projects and assignments.

The Data Science of Health Informatics

Platform: Coursera

Duration: 10 hours

The Data Science of Health Informatics course offered by John Hopkins University is one of the top healthcare analytics courses to learn about health informatics. The program teaches data science models, formulation of data sources, and data modeling techniques. This healthcare analytics course helps in gaining experience from real-world projects using data science practices.

Data Analytics and Visualization in Healthcare

Platform: RITx (edX)

Duration: 8 weeks, 8-10 hours/week

Big analytics and data analytics is one of the top healthcare analytics courses that can help this curriculum, will help you gain experience from real-time projects, and bring better solutions. The course will make you understand data modeling techniques are important to implement analytics tools. By the end of the course, you will be able to optimize, analyze, and interpret massive datasets.