Making Evidence-Based Strategic Decisions (Coursera)

Making Evidence-Based Strategic Decisions (Coursera)

This course will give you a framework to help you successfully navigate the challenges posed by digital transformation. First, we will discuss how to use the organization's dynamic capabilities to start the digital transformation. Second, we will use fitness landscapes to build a competitive digital business model. Finally, we will implement a strategic foresight function to help evolve the digital business model for the organization's continued success.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Every modern organization is a digital organization or will rapidly become digital. Artificial intelligence, Google/Amazon/Facebook/Uber, and big data have dramatically raised customer expectations and demand.
Organizations that are effective in using data will win in the economies of the mid-21st century. These must-have core competencies include data analysis, machine learning, data visualizations, data mining, and predictive analytics, and deep learning. Organizations that won't or can't digitally transform will go the way of Blockbuster or Border's Bookstore.
The organization that better harnesses the power of data to create a superior customer experience will thrive in the new business realities.
The question is, how does an organization digitally transform? There are many digital technologies for organizations to choose from - too many choices! And digital technologies are only part of creating a digital organization. The employees must be trained in the new technologies, leaders must learn how to use data in making strategic decisions, and the organization's business processes must be reinvented. So many choices to make and the stakes have never been higher!
This course is part of the Transforming Your Company's Data Analytics Specialization.

Syllabus

Week 1 Decision Factories
Week 2 Data-Enabled Decision Making
Week 3 Low-Code/No-Code Tools for Data Analytics Products
Week 4 Artificial Intelligence in Data Analytics
Final Exam

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话) (Coursera) Coursera
The Chinese University of Hong Kong

Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话) (Coursera)

在社会学、心理学、教育学、经济学、管理学、市场学等研究领域的数据分析中,结构方程建模是当前最前沿的统计方法中应用最广、研究最多的一个。它包含了方差分析、回归分析、路径分析和因子分析,弥补了传统回归分析和因子分析的不足,可以分析多因多果的联系、潜变量的关系,

Sep 14th 2026
5-12 Weeks
Behavioral Finance (Coursera) Coursera
Duke University

Behavioral Finance (Coursera)

We make thousands of decisions every day. Do I cross the road now, or wait for the oncoming truck to pass? Should I eat fries or a salad for lunch? How much should I tip the cab driver? We usually make these decisions with almost no thought, using what psychologists call “heuristics” – rules of thumb that enable us to navigate our lives. Without these mental shortcuts, we would be paralyzed by the multitude of daily choices.

Sep 14th 2026
3 Weeks
Manager dans l'incertain (Coursera) Coursera
Institut Mines-Telecom

Manager dans l'incertain (Coursera)

Le MOOC “Manager dans l’incertain” s’adresse aux étudiants comme aux porteurs de projet et managers (qu'ils soient en activité professionnelle, juniors ou seniors dans leurs domaines de spécialité) mais aussi à tout acteur du monde de l'entreprise susceptible de prendre des décisions dans un contexte imprévisible. Ce MOOC vous invite à suivre une démarche de décision en 12 étapes propre à la méthode du D.M.C. (Decision Model Canvas).

Sep 14th 2026
4 Weeks
Managing Social and Human Capital (Coursera) Coursera
University of Pennsylvania

Managing Social and Human Capital (Coursera)

Based on their popular course at Wharton, this course will teach you how to motivate individual performance and design reward systems, how to design jobs and organize work for high performance, how to make good and timely management decisions, and how to design and change the your organization’s architecture. By the end of this course, you'll have developed the skills you need to start motivating, organizing, and rewarding people in your organization so that you can thrive as a business and as a social organization.

Sep 14th 2026
4 Weeks
Earth Economics (Coursera) Coursera
Erasmus University Rotterdam

Earth Economics (Coursera)

After this course you will be an Earth Economist that can provide evidence-based advise on the best global policy. As an Earth Economist you will better understand the behavior and advice of economists, have become a better economist yourself and know where to find Earth's data and how to analyze these world observations. Our planet is too important: we need you to get engaged!

Sep 14th 2026
5-12 Weeks
Mathematical Biostatistics Boot Camp 1 (Coursera) Coursera
Johns Hopkins University

Mathematical Biostatistics Boot Camp 1 (Coursera)

This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.

Sep 14th 2026
4 Weeks
Infonomics II: Business Information Management and Measurement (Coursera) Coursera
University of Illinois at Urbana-Champaign

Infonomics II: Business Information Management and Measurement (Coursera)

Even decades into the Information Age, accounting practices yet fail to recognize the financial value of information. Moreover, traditional asset management practices fail to recognize information as an asset to be managed with earnest discipline. This has led to a business culture of complacence, and the inability for most organizations to fully leverage available information assets. This second course in the two-part Infonomics series explores how and why to adapt well-honed asset management principles and practices to information, and how to apply accepted and new valuation models to gauge information’s potential and realized economic benefits.

Sep 14th 2026
4 Weeks
Artificial Intelligence: An Overview (Coursera) Coursera
Politecnico di Milano

Artificial Intelligence: An Overview (Coursera)

The course will provide a non-technical overview of the artificial intelligence field. Initially, a discussion on the birth of AI is provided, remarking the seminal ideas and preliminary goals. Furthermore, the crucial weaknesses are presented and how these weaknesses have been circumvented. Then, the current state of AI is presented, in terms of goals, importance at national level, and strategies. Moreover, the taxonomy of the AI topics is presented.

Sep 14th 2026
5-12 Weeks
Infonomics I: Business Information Economics and Data Monetization (Coursera) Coursera
University of Illinois at Urbana-Champaign

Infonomics I: Business Information Economics and Data Monetization (Coursera)

Thriving in the Information Age compels organizations to deploy information as an actual business asset, not as an IT asset or merely as a business byproduct. This demands creativity in conceiving and implementing new ways to generate economic benefits from the wide array of information assets available to an organization. Unfortunately, information too frequently is underappreciated and therefore underutilized.

Sep 14th 2026
4 Weeks