Online Course free
Agile and Scrum Project Management

with Ivan Vaptsarov

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
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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

Ivan Vaptsarov

Ivan Vaptsarov

PM Author & Consultant | PM of the Year | Head of PMO

Track record

Bringing real-world expertise from leading global companies

Company logo 1Company logo 2

Academic background

Master's degree, Accounting, Financial Management and Control

Bocconi University

Media and recognition

  • PMP of the Year—Project Management Institute (2023)
  • Author of "Beginner to PROject Manager"— 200K+ Udemy students
  • Guest lecturer & trainer for universities and global corporates
Ask Ivan a question
  • Course Overview
  • Accredited certificates
  • Career paths
  • How it works
  • Student reviews
  • Recommended courses

    • 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
    See more

    Curriculum

    17 lessons

    Early in my career, I took 365 Data Science courses that built a strong foundation in data science and financial analysis with Excel. The detailed, visual content—from basics to advanced—helped me grasp key concepts, develop practical skills, and apply them to real projects in multiple industries. The instructors, quick responses to questions, and collaborative community made learning even more engaging. 365 truly supports continuous growth, and I recommend it to anyone starting or advancing in data and AI.

    Saquib Rahman K.

    Saquib Rahman K.

    After 365: Data Scientist | EXL

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    94%

    of AI and data science graduates

    successfully change

    or advance their careers.

    When I started learning data science, I had no idea where to begin. 365 Data Science’s clear explanations, structured content, and practical exercises gave me direction. The practice files, quizzes, and certifications boosted my skills and confidence, helping me secure my current role as a Data Science Technical Trainer. I’ve renewed my subscription to keep upskilling because no other platform matches 365’s structure and quality. It’s been life-changing for my career and my family.

    Ramya M.

    Ramya M.

    Before 365: Facilitator | Freadom
    After 365: Data Science Technical Trainer | KGiSL MicroCollege

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    4.9

    Based on 808 reviews

    #1 most reviewed

    AI and data learning platform on Trustpilot.

    Coming from a biology background, I had no prior experience in coding or data analysis when I began my master’s in Bioinformatics and Neuroinformatics. The learning curve was steep, but discovering 365 Data Science changed everything. Their comprehensive courses—complete with theory, notes, assessments, and real projects—helped me build skills and confidence. I fell in love with data analysis and chose it as my career path. Even after landing a job, I’ll continue learning with 365!

    Kleio T.

    Kleio T.

    After 365: Bioinformatics and Neuroinformatics student

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    96%

    of our students recommend

    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.

    Learn More
    • 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
    Learn More
    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

    A collage of student testimonials from 365 Data Science learners, featuring profile photos, names, job titles, and quotes or video play icons, showcasing diverse backgrounds and successful career transitions into AI and data science roles.
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