Online Course
Project Management

Master project management skills that enable you to develop a project from zero to one

4.9

808 reviews on
3138 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:

Basic

Duration:

4 hours
  • Lessons (4 hours)

CPE credits:

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

  • Manage entire projects independently from start to finish.
  • Understand the importance of project management for organizations.
  • Perform project management tasks using established best practices.
  • Use professional project management templates in various settings.
  • Gain project management knowledge through comprehensive case studies.

Topics & tools

theoryproject managementbusiness skillssoft skillscareer development

Your instructor

Course OVERVIEW

Description

CPE Credits: 5 Field of Study:
Delivery Method: QAS Self Study
This Project Management course will teach you how to plan, execute, and deliver projects successfully. As they say, operations keep the lights on, strategy is the light at the end of the tunnel, but project management is the train engine that moves the organization forward. Even if you don’t want to become a professional, having a basic project management training will be useful. Everyone in the corporate world works on projects with set deadlines and defined deliverables. Knowing the key principles and concepts of project management can help you navigate such situations better.

Prerequisites

  • No prior experience or knowledge is required. We will start from the basics and gradually build your understanding. Everything you need is included in the course

Advanced preparation

  • None

Curriculum

61 lessons

9 in 10

of our graduates landed a new AI & data job

after enrollment

9 in 10

people walk away career-ready

with practical data and AI skills.

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.

  • 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

Certificates are included with the Self-Study learning plan.

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.