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Agile and Scrum Project Management

Master agile and Scrum project management skills that enable you to develop a project in tech and software development from zero to one

4.9

808 reviews on
510 students already have enrolled
  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Skill level:

Intermediate

Duration:

1 hour
  • Lessons (1 hour)

CPE credits:

1.5
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of professionals must earn to maintain their licenses and stay current with regulations and best practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's official website: www.nasbaregistry.org

Accredited:

certificate

What You Learn

  • Master Agile and Scrum frameworks to manage tech and software projects.
  • Compare Agile and Waterfall methods to choose the best for each project.
  • Learn Scrum structure elements: user stories, EPICs, Backlog, Releases, MVP.
  • Implement Agile and Scrum tasks following established best practices.
  • Gain expertise through case studies and build robust Agile and Scrum skills.

Topics & tools

theoryproject managementagilescrumbusiness skills

Your instructor

Course OVERVIEW

Description

CPE Credits: 1.5 Field of Study: Specialized Knowledge
Delivery Method: QAS Self Study
This course presents and compares some of the most popular project management frameworks. According to the traditional approach, all projects follow the conventional lifecycle of initiation, planning, execution, monitoring and control, and closure. The first part of the course focuses on one example of such type of approach — the so-called Waterfall framework. According to it, activities have a defined start, end, and order and changes to the plan during the execution stage should be avoided. There are, however, certain types of initiatives containing uncertainties that are difficult to structure in a clear manner. Such projects have fewer hard dependencies between deliverables and the best way to order activities is not always obvious beforehand. The next part of the course covers the Agile framework which is suitable for such situations. It is much more flexible than the traditional approach, allowing for changes and uncertainties during the execution phase. Based on Agile principles, SCRUM is a framework for managing complex projects, such as software development. Next, the course covers in detail this framework. It concludes with a comparison of the Agile and Waterfall project management concepts.

Prerequisites

  • An introduction to Project Management is required to take the course

Advanced preparation

  • None

Curriculum

17 lessons

94%

of AI and data science graduates

successfully change

or advance their careers.

4.9

Based on 808 reviews

#1 most reviewed

AI and data learning platform on Trustpilot.

96%

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365 Data Science.

ACCREDITED certificates

Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global institutions.

Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities employers value most.

  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners
A LinkedIn profile mockup on a mobile screen showing Parker Maxwell, a Certified Data Analyst, with credentials from 365 Data Science listed under Licenses & Certification. A 365 Data Science Certificate of Achievement awarded to Parker Maxwell for completing the Data Analyst career track, featuring accreditation badges and a gold “Verified Certificate” seal.

How it WORKS

  • Lessons
  • Exercises
  • Projects
  • Practice Exams
  • AI Mock Interviews

Lessons

Learn through short, simple lessons—no prior experience in AI or data science needed.

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Exercises

Reinforce your learning with mini recaps, hands-on coding, flashcards, fill-in-the-blank activities, and other engaging exercises.

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Projects

Tackle real-world AI and data science projects—just like those faced by industry professionals every day.

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Practice Exams

Track your progress and solidify your knowledge with regular practice exams.

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AI Mock Interviews

Prep for interviews with real-world tasks, popular questions, and real-time feedback.

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Student REVIEWS

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