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IE Business School

Intelligence Tools for the Digital Age

IE Business School via Coursera

Overview

Prepare for a new career with $100 off Coursera Plus
Gear up for jobs in high-demand fields: data analytics, digital marketing, and more.
Digital technologies are changing business, government and society worldwide. Clearly, they’re opening up new risks and opportunities for every sector of the world economy. Such “futurology” may offer you the big picture, but what does a digital world mean for you, personally? Will you be ready for an automated, AI-assisted, big-data-driven employment future?

This course provides you an answer to these questions, and it does so from a unique perspective: by introducing you to the world of intelligence analysis. First, this course explains some of the skills that will command a premium in the digital age, and why. Then, it offers you mental models and practical frameworks developed by the US intelligence community to give you a cognitive edge understanding the digital world. This edge is not about spying or secrets. It’s about better thinking. This analytic toolkit has nothing to do with tired, static MBA-style strategy frameworks. Instead, these tools to help you come to grips with the volatility, uncertainty, ambiguity and deception of the digital age. Ultimately, this course makes the case that as the world becomes more digital, your future success depends most of all on asking better questions of both yourself and others. Therefore, it teaches you how to adopt an intelligence analyst’s question-asking mindset. In short, take this course to acquire a sustainable business advantage through clearer, more structured thinking.

Syllabus

  • A Toolkit for the Digital Future: Intelligence Analysis for the Business Professional
  • The Intelligence Analyst’s Mindset
  • Intelligence Methods: Analysis, Part One (Macro Actors) The Case of Chinese Rare Earth Elements
  • Intelligence Methods Analysis, Part Two: Micro actors (understanding people/organizations)

Taught by

Milo Jones

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4.6 rating at Coursera based on 614 ratings

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