Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
Today’s healthcare institutions have access to mountains of data but don’t have the expertise and knowledge to leverage it to improve care and outcomes for their organisation. Understanding how to implement data-driven solutions can help you operate more efficiently. The Healthcare Analytics online course can help you with that.
The Healthcare Analytics programme can help you gain fluency in healthcare analytics. You’ll learn to effectively communicate with analysts, employ data for optimal business and healthcare outcomes, and build a roadmap to adopting analytics in your organisation. In this way, you can continue to lead—and succeed—with data.
By the end of the Healthcare Analytics online course, you will have increased healthcare literacy and will be able to make data-driven decisions for the betterment of your organisation. This programme is developed by The Rotman School of Management and delivered by Emeritus. You’ll also get a certificate at the end of the course.
The Highlights
- 7-week training programme
- Requires 4-6 hours weekly
- 100 % online
- Offered by the Rotman School of Management
- Knowledge checks
- Real-world application exercises
- Capstone project
- Open Q&A
- Live webinars
Programme Offerings
- Certificate of completion
- Q&A Sessions
- LIVE Webinars
- 100% Online
- Capstone Project
- Peer Discussion Groups
- Try-it activities.
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Rotman School of Management, Toronto |
- Paying the Healthcare Analytics course fee is mandatory for enrolment.
- You can pay through a flexible payment option.
- A 10 % group discount is available.
- A referral discount is also available.
Healthcare Analytics: AI, Big Data & Digital Transformation fee structure
Course | Fees in CAD |
Healthcare Analytics AI, Big Data & Digital Transformation | CAD $2,314 |
Eligibility Criteria
You’ll earn the Healthcare Analytics certificate once you have completed the programme.
What you will learn
Upon completing the Healthcare Analytics online training, you will have:
- Increased healthcare data literacy, enabling you to communicate with data analysts and to incorporate, understand and build healthcare analytics systems into your teams and organisations
- The expertise to interpret and analyse results and make data-driven decisions for your healthcare organisation
- Understanding AI’s emerging roles in healthcare and its applications to enhance your organisational outcomes and processes
Who it is for
The Healthcare Analytics training programme is ideal for:
- Mid-to-senior-level managers such as corporate director, general manager, head of marketing, or head of strategies
- Healthcare consultants or entrepreneurs looking to set up an analytics team
- C-Suite Executives
Admission Details
- To start the enrolment procedure for the Healthcare Analytics online training, visit the course website - https://execonline.rotman.utoronto.ca/healthcare-analytics
- Next, click on the “Apply Now” tab on the top.
- Sign in using your credentials, or create a new account if you don’t have an account already.
- Fill and submit the online application form.
- Pay the programme fee.
- Start the course.
Application Details
Enrolment into the Healthcare Analytics programme requires you to fill an online application form. This form has fields like full name, street address, city, state, ZIP code, work experience, company, job title and profile, and industry.
The Syllabus
- The data generation process
- How to categorize data
- The different types of variables used with data
- The impact of data size and bias on data collection and analysis for the healthcare industry.
- The impact of data distribution
- The purpose of dashboards in monitoring Key Performance Indicators (KPIs) to manage organizational performance in healthcare settings.
- The use and application of machine learning and artificial intelligence (AI) as a healthcare tool leveraged for predictions.
- Build an AI canvas designed for your healthcare organization.
- The strategies for applying regression analysis to make predictions
- Estimate the effect and the knowledge to question analysts to best use regression analyses accurately for your healthcare organization.
- The critical elements of prescription, cause and effect analysis
- How prescriptive analysis is used in healthcare to find data-driven solutions to organizational problems.
- The impact of data analytics on healthcare organizational decisions
- The role and cost of digital transformations in public healthcare.
- Widen the view of data literacy to your entire workforce.
- Develop an organizational model for a question-driven approach to data analysis
- Understand privacy concerns with healthcare data
- Formulate a strategy to build an evidence- and learning-based corporate culture.
Instructors
Rotman School of Management, Toronto Frequently Asked Questions (FAQ's)
The certificate will have your name, institution’s logo, course name, and instructor’s signature.
Avi Goldfarb, Rotman Chair in Healthcare and Artificial Intelligence, is the instructor for this course.
For more information regarding the Healthcare Analytics training, you can download the course brochure available on the course page.
Yes, if you join the programme in a group, you get a 10% discount. Additionally, you get discounts when you refer the programme to your friends.
No, flexible payment options are also available.