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12 free online courses from the University of Toronto in 2021 – Business Insider

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The University of Toronto — one of the top 20 schools in the world — offers free courses online. 
Like most of the best schools in the world — Harvard, Princeton, Yale, UPenn, Columbia, and Cornell included — the University of Toronto has made dozens of massive open online courses (MOOCs) available on e-learning platforms edX and Coursera. You can learn more about edX here and Coursera here.
Whether you’re interested in why COVID-19 has spiked your anxiety (and how to manage it), or want to learn how to program or run a successful virtual meeting, you can learn it for free (or for a small fee if you want to earn a certificate of completion).
Length: 23 hours
Explore the field of psychology through interesting experiments and discussions about how they impact our understanding of the mind and human behavior. Students learn about human development and our memory, learning, attention, perception,  consciousness, and more.
Length: 25 hours
In this beginner’s guide to programming, students learn the building blocks of coding and how to write “fun and useful” programs using Python.
Length: 3 hours
If you’ve been looking for a hands-on explainer and strategy for managing anxiety in the age of COVID-19, this is it. Psychology professor Steve Joordens delves into multiple drivers — from news consumption to isolation to the way we talk to kids about the pandemic — and offers clear-cut strategies for managing anxiety. 
Length: 32 hours 
This course covers the foundational concepts of The Strategies and Skills Learning and Development System (SSLD) and how they relate to everyday relationships. Students use case studies to learn about the basic practice principles and methods, the framework for relationship management assessment, core competencies, and more.
Length: 8 hours
Our day-to-day communication has changed, which means our leadership strategies should, too. This course touches on many aspects of effective communication — from using science to creating impactful presentations to using communication principles and techniques in virtual and in-person teams.
It’s worth noting that this course requires a working camera and microphone; you’ll have to record yourself speaking.
Length: 35 hours
This course teaches you the basics of self-driving cars: terminology, design, and safety assessments. Students learn about everything from commonly used hardware to how to analyze safety frameworks.
This is part of the Self-Driving Cars Specialization.
Length: 20 hours
This hands-on course teaches you how to use existing bioinformatic resources to access data to answer questions that are relevant to the average biologist. 
There’s a second part, Bioinformatic Methods II, but this first course deals with databases, Blast, multiple sequence alignments, phylogenetics, selection analysis, and metagenomics.
This is part of the Plant Bioinformatic Methods Specialization. 
Length: 6 weeks
Learn about the principles and methods of behavioral economics — from how they’re used to change behavior, products, and policies to how they can improve overall well-being.
This course was originally developed in 2013. The field has changed since, but the material is still relevant; the concepts are foundational, and the course has been updated over the years to include new developments.
Length: 8 hours
Learn the basics of Swift Programming in this introductory course, which is part of the iOS App Development with Swift Specialization. 
It’s worth noting that this course will be updated to reflect the release of Swift 3 (it’s taught in Swift 2) but is not updated yet.
Length: 14 hours
Among other things, this course teaches you what a GIS is and how to get started with the software yourself. Students create their own GIS data in a course project by tracing geographic features from a satellite image of their choosing.
This is part of the GIS, Mapping, and Spatial Analysis Specialization. 
Length: 7 weeks
This course aims to answer the question: “How does counting the dead help the living?” Students learn how to think about global health using population and cause of death statistics — real data from real people.
Length: 8 hours 
Students learn to spot gendered processes, products, and policies and evaluate how to use gender analytics to enable inclusive innovation. The course answers questions such as: “Why are women 47% more likely than men to be injured when they get in a car accident?” and “Why will automation and AI be more likely to impact women than men?” 
This is part of the Gender Analytics: Gender Equity through Inclusive Design Specialization.

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