Online Course free
Corporate Strategy

Build a winning corporate strategy: Master the art of competitive positioning and strategic decision-making

4.9

808 reviews on
1830 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:

2.5
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

  • Identify and choose the optimal strategic positioning for your business.
  • Avoid the risks associated with an incoherent corporate strategy.
  • Analyze industry dynamics to position your business model for success.
  • Build a sustainable competitive advantage to protect your business.
  • Gain insights into strategic choices and strengthen your leadership skills.

Topics & tools

business fundamentalstheorycorporate strategybusiness skills

Your instructor

Course OVERVIEW

Description

CPE Credits: 2.5 Field of Study:
Delivery Method: QAS Self Study
Developing a corporate and business strategy is key to success. It helps align the efforts of decision makers, middle management, and other employees, making sure they work in the same direction In this Business and Corporate Strategy course, you will learn how to a create a clear outline of an organization’s goals and plan to achieve them. It covers several key topics: corporate strategy vs. business strategy, the industry life cycle model (describing the introduction, growth, maturity, and decline stages), Michael Porter’s five forces model, game theory, the concept of competitive advantage, the types of growth strategies (organic vs. inorganic, horizontal vs. vertical, etc.), and so on. By the end of the lessons, you will be able to distinguish between businesses that are well-positioned from a strategic perspective and those with an incoherent corporate and business strategy. This course does not require an MBA or a business degree. It teaches you the fundamental skills you need to become a successful executive.

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

39 lessons

9 in 10

of our graduates landed a new AI & data job

after enrollment

4.9

Based on 808 reviews

#1 most reviewed

AI and data learning platform on Trustpilot.

$29,000

average salary increase

after moving to an AI and data science career

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
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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.