Practical Health Data Analytic Skills
Overview
In today’s world, the vast amount of media coverage and online information about data analytics and Artificial Intelligence can be overwhelming. This course aims to demystify these topics by providing both theoretical and practical knowledge in data analytics. You will learn how data, statistics, computer programs, Information Technology, and professional healthcare expertise come together to generate actionable insights that enhance health and healthcare quality.
By focusing on the fundamentals of data science, this course will equip you with essential skills and knowledge, preparing you to explore advanced data analytics methods such as machine learning and interactive visualizations. Additionally, you will develop the ability to communicate effectively with data analytics experts within your organization.
This course will take approximately 21 hours to complete.
Admission Requirements
Admission Requirements
You may enroll in a Continuing Education course at Canadore College if you are 19 years of age or older or if you have earned an Ontario Secondary School Diploma/Ontario Secondary School Graduation Diploma or equivalent.
Registration
Registration
We recommend that you use a computer to complete the online registration process as you may encounter an error if using a device such as a phone or tablet. If you have already encountered an error when registering, please contact us:
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Admissions Office |
Continuing Education Office |
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705.474.7600 ext. 5123 |
705.474.7600 ext. 5601 |
What You Need
What You Need
Most college level courses require textbooks; textbooks are not included in the course fees. It is the student’s responsibility to purchase any required textbooks.
Textbooks are available at the Campus Shop for in class, Contact North, and iLearn/D2L courses. The Campus Shop does not carry most OntarioLearn textbooks. OntarioLearn textbooks can be purchased at www.textnet.ca.
Learning Outcomes
Learning Outcomes
Learning outcomes represent culminating demonstrations of learning and achievement. In addition, learning outcomes are interrelated and cannot be viewed in isolation of one another. As such, they should be viewed as a comprehensive whole. They describe performances that demonstrate that significant integrated learning by graduates of the program has been achieved.