Introduction to Project Management
IBM · View on Coursera ↗
Taught by Kasie Pardi, IBM Skills Network Team
BusinessInformation Technology
About the course
Project management is a booming field with many opportunities for those with the appropriate skills. This course is designed for anyone interested in starting a career in this field and provides a comprehensive introduction to project management. Today’s industries are increasingly becoming oriented around projects. As a result, more organizations need project management professionals and Agile Scrum Masters to help plan, manage, and execute these projects. By controlling various factors such as time and resources, project management enables organizations to increase the success rate of their projects, mitigate project risks, and reduce overall costs. In this course, you will learn what project management is, its benefits, and challenges encountered by project managers. You will also learn how recent trends, such as remote work, Agile, and artificial intelligence, have re-shaped modern project management. This course also addresses opportunities for different careers within project management. It will discuss jobs across different industries and experience levels, as well as the various technical and soft skills required for project management work. Throughout this course, you will learn through lectures, interviews with experienced project management professionals, readings, activities, and quizzes designed to teach you the fundamentals of project management. You will gain a range of technical and practical knowledge and get insights and guidance from experts in the field.
The dissent
The most-upvoted critical review (3 votes, 2.0★).
“Too much marketing of the PM role, not enough of the actual skills.”
Coursera's 4.8 comes from 2,469 ratings. Of those, 1.5% are 1–2★.
Starisk reads the reviews learners voted most helpful, and weights each by the square root of its votes: a review with 80 upvotes counts about five times one with 2. Unvoted reviews are not skipped out of laziness — by this model they carry no evidence that other students endorsed them.
That measures what the most-endorsed reviews say, not “true quality.” The rating distribution above is the whole population, so you can see the sample next to it.
Reviews read on 23 Oct 2026.Read them on Coursera ↗