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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 $2,600

Eligibility Criteria

You’ll earn the Healthcare Analytics certificate once you have completed the programme.

What you will learn

Data science knowledgeKnowledge of healthcare sciences

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/?thank_you=true
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.