Introducing Career Learning Paths: Learn the skills to advance your career with confidence
By Janani Subramanian, Senior Product Manager, Coursera
Embarking on a new chapter of your career journey can be a powerful emotional experience. You may feel excitement and anticipation, but also anxiety and stress. Whether you’re looking for your first job, pursuing a promotion, or contemplating a mid-career switch to a new field, there are always unknowns to manage. At a time when COVID-19 has dramatically impacted the employment landscape, this uncertainty can seem even more challenging.
Today, Coursera is launching Career Learning Paths, a free online resource to help you find the learning content you need to reach your career goals. Each path shows you a progression of job roles—from entry-level to experienced professional—for an in-demand field, details the skills necessary for career success in that field, and maps these skills to the relevant learning programs on Coursera. With Career Learning Paths, you can learn with confidence, knowing you’re on the right track to advance your career.
Career Learning Paths for six high-growth fields are now available: Digital Marketing, Agile Project Management, Network Engineering, Data Engineering, Design, and Data Science. Coursera’s content strategy experts chose these fields for their steady growth and competitive wages, and because the skills required for success in these fields can be learned online.
As an example, consider the field of Agile Project Management. Roles in this field—such as IT project manager—are at low risk of automation and have a median salary of $88,000 for entry-level roles. In programs like Atlassian’s Agile with Atlassian Jira stand-alone course and UC Irvine’s Project Management Professional Certificate, you can learn the skills to launch and advance your project management career.
How can you start using Career Learning Paths? Let’s say you’re interested in launching a data science career. You can begin by exploring the Data Science Career Learning Path, where you’ll find a general description of the field and expert-curated content for beginner, intermediate, and advanced data science professionals. The curated content provides a range of learning programs, from Guided Projects that can be completed in under two hours to full-fledged certificate and degree programs that offer more in-depth training in the field. Examples include the Data Science Professional Certificate from IBM or Imperial College London’s Master of Machine Learning and Data Science. Once you’ve identified the right level and type of content for your goals, you can begin learning.
In the coming months, we’ll continue to introduce more Career Learning Paths across other growing fields. Our goal is to support you every step of the way as you pursue your goals, by providing the world-class learning resources that are right for your unique career journey.
Discover the next step in your career by exploring Career Learning Paths today:
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