Online Course free
Marketing Strategy

Build a winning marketing strategy: Master the art of setting up an effective marketing mix

4.9

808 reviews on
1043 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:

2 hours
  • Lessons (2 hours)

CPE credits:

2
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

  • Define and execute a long-term marketing strategy aligned with business goals.
  • Integrate the 4Ps of marketing: Product, Price, Place, and Promotion.
  • Articulate product value to enhance customer loyalty and brand strength.
  • Avoid the risks associated with an incoherent marketing approach.
  • Grow customer lifetime value with customer-centric marketing methods.

Topics & tools

theorybusiness fundamentalsmarketing strategybusiness skills

Your instructor

Course OVERVIEW

Description

CPE Credits: 2 Field of Study: Business Mgmt & Org
Delivery Method: QAS Self Study
Marketing is the engine that drives a company’s sales. It is among the crucial activities inside an organization and a key determinant of its success. This course on strategic marketing covers everything from the fundamentals of modern marketing theory to key marketing processes and advanced approaches. You will learn how to create a winning long-term marketing strategy, set up an effective marketing mix, and much more... This course is suitable for every aspiring marketing strategist, as well as for business executives who want to understand the marketing fundamentals. The curriculum contains real-life examples that help understand the concepts and their application in practice.

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

33 lessons

9 in 10

of our graduates landed a new AI & data job

after enrollment

94%

of AI and data science graduates

successfully change

or advance their careers.

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
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.