Highlights

Here are some of the highlights for this micro-credential.

  • No admission requirements, no application process, no pre-requisites, open to anyone

  • Take up to 90 days to complete the course

  • Learn at your own pace using a computer, tablet or smartphone

  • Receive a certificate of course completion and digital badge for successfully completing the course which can be shared on social media (e.g. LinkedIn, Facebook, Twitter), downloaded as a PDF, or even embedded in an email signature

Overview

This 20-hour online and self-directed micro-credential on Applying Practical Health Data Analytics provides learners with the essential knowledge and hands-on skills to analyze health data effectively. The course covers fundamental concepts in health analytics, research methodologies, data collection techniques, and analytical tools such as "R programming". Participants will learn how to apply statistical methods, design epidemiological studies, and work with real-world health data to generate meaningful insights. By the end of the course, learners will be able to conduct data-driven decision-making and support healthcare improvements through analytical techniques.

Learners who successfully complete the course will earn a digital badge and certificate of course completion that can be downloaded and shared via social media. 

You will have access to the course for 90 days to work through the content.

Skills, Knowledge, and Competencies

At the end of this micro-credential, you should be able to:

  • Define key concepts, terminology, and fundamental principles of health data analytics.

  • Explain the role of health data analytics in research, healthcare decision-making, and public health interventions.

  • Use appropriate data collection tools and research methodologies to gather and organize health-related data.

  • Examine health datasets using statistical and epidemiological techniques to identify trends, patterns, and insights.

  • Assess the reliability, validity, and ethical considerations of health data analytics methods and findings to identify trends, patterns, and insights regarding real world issues.

  • Develop a data-driven health analytics project using "R" and other analytical tools to address a real-world healthcare problem.

Curriculum

    1. Land Acknowledgement

    2. Accessibility, Diversity, Equity, and Inclusion (IDEA) Statement

    3. Introduction from Sault College's eLearning Department

    4. What is asynchronous online self-directed learning?

    5. Learner Resources and Supports

    6. Technology Requirements

    7. Privacy and Accessibility Policies

    8. Navigation

    9. Learner Introductions

    10. Discussion Forum: Learner Engagement

    11. Technical Discussion Forum

    12. Frequently Asked Questions

    13. Help & Contact Information

    1. Before we begin...

    2. Welcome and Micro-credential Information

    3. Micro-credential Overview

    4. Learning Outcomes & Goals

    5. Modes of Learning

    1. Module 1: Introduction to Practical Health Analytics

    2. Quiz 1

    3. Quiz 2

    4. Quiz 3

    5. Quiz 4

    6. Quiz 5

    7. Quiz 6

    1. Module 2: Data Analytical Skills

    2. Module 2: Quiz

    3. Module 2: Discussion

    4. Data Analytical Skills Reflection

    1. Module 3: Means and Tools of Health Data Collection

    2. Table 1 Sample 23 EMRs

    3. Module 3: Quiz

    1. Module 4: Health Data Collection through Research

    2. Module 4: Quiz

    3. Module 4: Discussion Health Care Collection Through Research

About this course

  • $289.99