Make your way into the world of healthcare analytics with our Best Healthcare Analytics Courses. Designed to equip you with the best tools to make data-driven decisions in the healthcare sector.
Key Takeaways
- Learn all about data analysis in healthcare.
- Get a chance to improve patient outcomes and operational efficiency.
- Gain knowledge that is applicable to real-world healthcare challenges.
Why should I enroll in healthcare analytics courses?
You should enroll as these courses aim to prepare you to analyze clinical data efficiently. This leads to improved patient care and healthcare operations and makes you a valuable asset in the healthcare sector.
In order to help our readers in taking a knowledgeable learning decision, TakeThisCourse.net has introduced a metric to measure the effectiveness of an online course. Learn more about how we measure an online course effectiveness. Healthcare Analytics Courses Evaluation & Selection Criteria
Each of the healthcare analytics courses has been selected based on curriculum relevance, positive learner outcomes, and instructor credentials in the healthcare field. We reviewed each course for its comprehensive coverage of analytical tools and techniques that can be applied to real-world healthcare challenges.
Best Healthcare Analytics Courses
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- Monika Wahi via LinkedIn
- 47,410+ already enrolled!
- ★★★★☆ (27 Ratings)
| Online Course Effectiveness Score |
| Content | Engagement | Practice | Career Benefit |
Good
★★★★☆ | Good
★★★★☆ | Fair
★★★☆☆ | Fair
★★★☆☆ |
This is an advanced level course where you will be taught how to perform a forward step-wise modeling process by using the publicly available Behavioral Risk Factor Surveillance Survey (BRFSS) dataset.
- The reason why we chose this course is its focus on explaining how to design your research through scientific plausibility hypothesis.
- This course is for those who wish to get hands on the different techniques required for interpreting diagnostic plots and improving model fit.
This was a great practical course that is suitable for the healthcare and computation drug discovery professionals. I was able to learn so much from this amazing course (Dr Govinda N, ★★★★★)
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- John Hopkins University via Coursera
- 18,946+ already enrolled!
- ★★★★☆ (516 Ratings)
| Online Course Effectiveness Score |
| Content | Engagement | Practice | Career Benefit |
Excellent
★★★★★ | Good
★★★★☆ | Fair
★★★☆☆ | Fair
★★★☆☆ |
This specialization is all about explaining how to articulate a coherent problem and a plan for addressing health informatics problem.
- The best thing about this specialization is its focus on explaining how you can answer a health informatics problem through data retrieval and analysis.
- This specialization is for those who wish to understand how to create a change management and deployment plan for a health informatics intervention.
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This specialization is a great way to understand how to answer health informatics problems through data analysis. All the five courses were great and had interesting information to offer. (Anonymous Learner, ★★★★★)
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- DOANEX via edX
- 3 Weeks (5-10 hours weekly) of effort required
This course will allow you to understand what health informatics and public health is and the difference between population health and informatics. Anyone interested in advancing their knowledge in health management should consider our learn public health online for free courses.
- The best thing about this course is its focus on explaining how you can apply the concepts of informatics and understand how healthcare is changing the population’s health.
- This course is for those who wish to understand the emerging trends in health informatics.
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- Monika Wahi via LinkedIn
- 22,624+ already enrolled!
- ★★★★★ (44 Ratings)
| Online Course Effectiveness Score |
| Content | Engagement | Practice | Career Benefit |
Excellent
★★★★★ | Good
★★★★☆ | Fair
★★★☆☆ | Fair
★★★☆☆ |
This is an advanced level class that teaches the core healthcare data science skills including epidemiology. With that, you will understand how to perform a cross-sectional analysis.
For an enriching learning journey, learn more about these educational opportunities.
- The reason why we chose this class is its focus on explaining how to develop metadata and determine confounders.
- This class is for those who wish to go through the steps of conducting a descriptive analysis.
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- Stanford University via Coursera
- 12,775+ already enrolled!
- ★★★★☆ (805 Ratings)
| Online Course Effectiveness Score |
| Content | Engagement | Practice | Career Benefit |
Excellent
★★★★★ | Excellent
★★★★★ | Good
★★★★☆ | Fair
★★★☆☆ |
In this specialization, you will be identifying the different problems which a healthcare provider face and which can be solved through machine learning.
- The best thing about this specialization is its focus on explaining how Artificial Intelligence can affect patient’s safety, quality, and research.
- This specialization is for those who wish to learn to apply the AI building blocks for innovating and understanding emerging technologies. Elevate your understanding of sports data by exploring the top free courses on sports analytics with certification.
The courses in this specialization have allowed me to learn different uses of Artificial Intelligence in the healthcare industry. Whether it is about gaining a basic understanding of clinical data or understand the fundamentals of machine learning in healthcare, you can rely on this specialization completely. (Anonymous learner, ★★★★★)
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- RIT via edX
- 10,819+ already enrolled!
- 8 Weeks (8-10 hours weekly) of effort required
In this class, you will learn to identify the current forces which are disrupting today’s healthcare industry.
- The best thing about this class is its focus on summarizing the current healthcare trends and their impact on cost, quality, and patient engagement.
- This class is for those who wish to understand the importance of interoperability in healthcare analytics.
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- Monika Wahi via LinkedIn
- 45,865+ already enrolled!
- ★★★★★ (80 Ratings)
| Online Course Effectiveness Score |
| Content | Engagement | Practice | Career Benefit |
Excellent
★★★★★ | Excellent
★★★★★ | Fair
★★★☆☆ | Fair
★★★☆☆ |
This is an advanced level course that teaches you to design research studies around hypothesis and fill the gaps that are in the healthcare field. Gain valuable expertise in the healthcare field with Healthcare Education that comes with Certification.
- The best thing about this advanced course is its focus on explaining the terms and concepts in epidemiology. You will also study different design approaches including descriptive, analytics, and case control.
- This course is for those who wish to understand how to plan an analytic data set.
If you want to know all about what warranty versus quality is then this course is definitely to choose. The techniques taught for organizing failure modes with respect to warranty data was great. (Joseph Chantiny, ★★★★★)
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- University of Strathclyde, The Data Lab via FutureLearn
- 5,970+ already enrolled!
- ★★★★☆ (14 Ratings)
| Online Course Effectiveness Score |
| Content | Engagement | Practice | Career Benefit |
Good
★★★★☆ | Fair
★★★☆☆ | Fair
★★★☆☆ | Fair
★★★☆☆ |
In this course, you will be taught how data science and analytics can be used for improving healthcare service, design, and provision.
- The best thing about this course is its focus on exploring the data analytics methods and tools and their practical uses as well.
- This course is for those who wish to learn to generate and communicate meaningful insights from analytics such as evaluating the efficacy of systems like ivdr regulations.
I really liked this course, it was very interesting and all the taught concepts can be applied in my daily work. With the help of this course, I was able to learn the power of data and what open data means. (Fozi D, ★★★★★)
continue with more Healthcare Analytics Courses…
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- University of Sydney via Coursera
- 7,237+ already enrolled!
- ★★★★★ (85 Ratings)
| Online Course Effectiveness Score |
| Content | Engagement | Practice | Career Benefit |
Excellent
★★★★★ | Excellent
★★★★★ | Fair
★★★☆☆ | Fair
★★★☆☆ |
This “Using clinical health data for better healthcare” course helps you identify digital health technologies in detail.
- The best thing about this course is its focus on explaining the key health data concepts and terminologies.
- This course is for those who wish to understand how to use health data and basic data analysis to improve decision making and practice.
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I have found this course to be 100% relevant to my current job and I am really excited to apply everything I have learned in this course to real life. (Teresita O, ★★★★★)
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- Rotman School of Management, University of Toronto via emeritus
- 7 Weeks (4-6 hours weekly) of effort required
In this engaging executive course, you will learn all about how increased healthcare data literacy can allow you to communicate with data analyst effectively.
- The best thing about this course is its focus on explaining how to make data-driven decisions for optimal outcomes in the healthcare industry.
- This paid course is for those who wish to understand the importance of emerging roles in AI in healthcare.
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- University of Edinburgh via Coursera
- 18,766+ already enrolled!
- ★★★★★ (255 Ratings)
| Online Course Effectiveness Score |
| Content | Engagement | Practice | Career Benefit |
Excellent
★★★★★ | Excellent
★★★★★ | Fair
★★★☆☆ | Fair
★★★☆☆ |
In this course, you will be taught the different types of data and computational methods involved in stratified healthcare and precision medicine.
- The best thing about this course is its focus on explaining all about sequence processing and probabilistic modeling.
- This course is for those who wish to learn all about process modeling, graph data, and so much more.
This course gave me a detailed introduction to the different data analytics methods. The explanation in machine learning approaches was also very great. I would recommend this course to all those who are thinking of starting a career in data science and especially in healthcare business. (Sanjog S, ★★★★★)
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- Barton Poulson via LinkedIn
- 85,868+ already enrolled!
- ★★★★★ (551 Ratings)
| Online Course Effectiveness Score |
| Content | Engagement | Practice | Career Benefit |
Excellent
★★★★★ | Good
★★★★☆ | Fair
★★★☆☆ | Fair
★★★☆☆ |
This general course is all about exploring a variety of ways to apply data science to not only medicine but public health.
- The reason why we chose this course is its focus on explaining the different methods required for analyzing the wealth of data including machine learning and predictive modeling.
- This course is for those who wish to understand all about genetic testing, blood testing, brain scans, and so much more in detail.
I have sincerely enjoyed learning from this course. The best part was the explanation on data science and genetics with cancer and epidemics. I am very much interested in working in cancer treatment as a future medical scientist so yes can say this was a wonderful and totally worth taking course. (Thanh D, ★★★★★)
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- Georgia Tech via Udacity
- 8 Weeks of effort required!
- Skill Level: Intermediate
This is an intermediate level course of our healthcare analytics courses list in which you will study the different algorithms and systems which are relevant to the healthcare applications.
- The best thing about this course is its focus on explaining the three main topics which include big data, healthcare, and technologies.
- This course is for those who wish to understand how to do predictive modeling and computational phenotyping and many other things in healthcare.
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- University of California Davis via Coursera
- 7,219+ already enrolled!
- ★★★★★ (118 Ratings)
| Online Course Effectiveness Score |
| Content | Engagement | Practice | Career Benefit |
Excellent
★★★★★ | Good
★★★★☆ | Fair
★★★☆☆ | Fair
★★★☆☆ |
This specialization is all about explaining how to analyze the different types and sources of healthcare data. This includes clinical, operations, and patient generated data as well.
- The reason why we chose this specialization is its focus on comparing and contrasting the common data models used in healthcare data systems.
- This specialization is for those who wish to understand how to create a data dictionary for communicating the source and value of data.
This specialization has allowed me to understand the different analytical solutions to solve common healthcare problems. The instructors were great and each course had unique content to offer. I really believe this specialization is worth one’s time, effort, and money. (Anonymous learner, ★★★★★)
Final Thoughts
It is believed that data analytics in healthcare can be easily applied to every single aspect of patient care and operations management and thus this field possesses significant value. The above list of best and free healthcare analytics courses and classes is a suitable way for any learner to understand all about healthcare analytics. Therefore, enroll in a course today and never stop learning.