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Making Evidence-Based Strategic Decisions

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Making Evidence-Based Strategic Decisions

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Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
8 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
8 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Apply data analytics principles to make informed decisions—even with incomplete or uncertain data.

  • Design systems that help teams make smarter, faster decisions .

  • Leverage low-code/no-code and AI technologies to create data solutions that drive innovation and competitive advantage.

  • Empower your organization—and your career—by mastering the tools and strategies that turn data into decisions.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

25 assignments

Taught in English

Build your subject-matter expertise

This course is part of the Transforming Your Company's Data Analytics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 5 modules in this course

Turn data into decisions that drive real business impact. In this course, you’ll learn how to align managers, employees, and organizational goals through data analytics and digital transformation. Discover how to view your organization as a “decision factory,” where every team member contributes to smart, evidence-based choices that fuel success.

You’ll explore what makes a good business decision, how to use data for foresight and scenario planning, and how to build a decision-making culture that leverages analytics at every level. Along the way, you’ll gain hands-on experience using low-code/no-code tools, AI, and automation technologies to create data-driven applications that enhance efficiency and insight.

Discover the concept of the decision factory—how organizations turn information into action. Learn to identify the types of decisions made by customers, employees, leaders, and competitors, and explore how these decisions shape business success.

What's included

7 videos12 readings6 assignments

7 videos•Total 41 minutes
  • 1.1.0 Intro to Week 1•0 minutes
  • 1.1.1 Your Company As a Decision Factory Video•8 minutes
  • 1.2.1 What Kind of Decisions Do Your Customers Make? - Video•9 minutes
  • 1.3.1 What Kind of Decisions Do Your Employees Make? - Video•8 minutes
  • 1.4.1 What Kind of Decisions Do Your Leaders Make? - Video•11 minutes
  • 1.5.1 Porter's Five Forces Model and Your Decision Factory - Video•5 minutes
  • 1.5.4 Week 1 Outro•0 minutes
12 readings•Total 31 minutes
  • Welcome!•2 minutes
  • Course Syllabus•3 minutes
  • Course Instructor•1 minute
  • FAQs•1 minute
  • 1.1.2 Your Company As a Decision Factory Summary Points•4 minutes
  • 1.2.2 What Kind of Decisions Do Your Customers Make? Summary•6 minutes
  • 1.3.2 What Kind of Decisions Do Your Employees Make? Summary•4 minutes
  • 1.4.2 What Kind of Decisions Do Your Leaders Make? Summary•4 minutes
  • 1.5.2 Porter's Five Forces Model and Your Decision Factory Summary•3 minutes
  • Don't Forget to Claim You Some PDUs!•1 minute
  • Week 1 References•1 minute
  • Leverage Your Learning Today!•1 minute
6 assignments•Total 40 minutes
  • Week 1 Quiz•15 minutes
  • 1.1.3 Your Company As a Decision Factory Knowledge Check•5 minutes
  • 1.2.3 What Kind of Decisions Do Your Customers Make? - Knowledge Check•5 minutes
  • 1.3.3 What Kind of Decisions Do Your Employees Make? - Knowledge Check•5 minutes
  • 1.4.3 What Kind of Decisions Do Your Leaders Make? - Knowledge Check•5 minutes
  • 1.5.3 Porter's Five Forces Model and Your Decision Factory - Knowledge Check•5 minutes

Learn what makes a great decision and how to select high-quality data to support it. You’ll also explore strategies for making sound choices with incomplete or uncertain data and discover practical ways to learn and improve from experience.

What's included

7 videos6 readings6 assignments

7 videos•Total 41 minutes
  • 2.1.0 Week 2 Intro•0 minutes
  • 2.1.1 What is Good Decision Making? - Video•9 minutes
  • 2.2.1 Using Data in Making Decisions - Video•9 minutes
  • 2.3.1 What is Good Data? - Video•5 minutes
  • 2.4.1 Decision Making with Incomplete and Ambiguous Data - Video•10 minutes
  • 2.5.1 Learning from Experience - Video•7 minutes
  • 2.5.4 Week 2 Outro•0 minutes
6 readings•Total 22 minutes
  • 2.1.2 What is Good Decision Making? Summary•4 minutes
  • 2.2.2 Using Data in Making Decisions Summary•5 minutes
  • 2.3.2 What is Good Data? Summary•3 minutes
  • 2.4.2 Decision Making with Incomplete and Ambiguous Data Summary•5 minutes
  • 2.5.2 Learning from Experience Summary•4 minutes
  • Week 2 References•1 minute
6 assignments•Total 40 minutes
  • Untitled•15 minutes
  • 2.1.3 What is Good Decision Making? - Knowledge Check•5 minutes
  • 2.2.3 Using Data in Making Decisions - Knowledge Check•5 minutes
  • 2.3.3 What is Good Data? - Knowledge Check•5 minutes
  • 2.4.3 Decision Making with Incomplete and Ambiguous Data - Knowledge Check•5 minutes
  • 2.5.3 Learning from Experience - Knowledge Check•5 minutes

Explore how non-technical “citizen developers” are transforming business by building powerful applications using low-code and no-code tools. Understand why a strong data infrastructure is essential for success in this new era of digital innovation.

What's included

6 videos7 readings6 assignments

6 videos•Total 41 minutes
  • 3.1.1 The Low-Code/No-Code Revolution - Video•6 minutes
  • 3.2.1 Survey of Low-Code/No-Code Tools - Video•5 minutes
  • 3.3.1 Practicum: Building a Low-Code/No-Code Application (Part One) - Video•9 minutes
  • 3.4.1 Practicum: Building a Low-Code/No-Code Application (Part Two) - Video•9 minutes
  • 3.5.1 Building the Data Infrastructure for Low-Code/No-Code Applications - Video•8 minutes
  • 3.6.1 Executive Briefing - Video•4 minutes
7 readings•Total 18 minutes
  • 3.1.2 The Low-Code/No-Code Revolution Summary•4 minutes
  • 3.2.2 Survey of Low-Code/No-Code Tools Summary•2 minutes
  • 3.3.2 Practicum: Building a Low-Code/No-Code Application (Part One) Summary•4 minutes
  • 3.4.2 Practicum: Building a Low-Code/No-Code Application (Part Two) Summary•3 minutes
  • 3.5.2 Building the Data Infrastructure for Low-Code/No-Code Applications Summary•3 minutes
  • 3.6.2 Executive Briefing Summary•1 minute
  • Week 3 References•1 minute
6 assignments•Total 40 minutes
  • Week 3 Quiz•15 minutes
  • 3.1.3 The Low-Code/No-Code Revolution - Knowledge Check•5 minutes
  • 3.2.3 Survey of Low-Code/No-Code Tools - Knowledge Check•5 minutes
  • 3.3.3 Practicum: Building a Low-Code/No-Code Application (Part One) - Knowledge Check•5 minutes
  • 3.4.3 Practicum: Building a Low-Code/No-Code Application (Part Two) - Knowledge Check•5 minutes
  • 3.5.3 Building the Data Infrastructure for Low-Code/No-Code Applications - Knowledge Check•5 minutes

See how artificial intelligence is reshaping data analytics. You’ll dive into robotic process automation (RPA), deep learning, and advanced analytics using tools such as R and Microsoft Power Platform—unlocking smarter, faster decision-making capabilities.

What's included

8 videos7 readings6 assignments

8 videos•Total 47 minutes
  • 4.1.1 How is A.I. used in Data Analytics - Video•7 minutes
  • 4.1.0 Intro to Week 4•0 minutes
  • 4.2.1 Big Data and Deep Learning - Video•11 minutes
  • 4.3.1 Robotic Process Automation - Video•9 minutes
  • 4.4.1 Data Analytics Software: R - Video•6 minutes
  • 4.5.1 Data Analytics Software: Microsoft Power Platform - Video•8 minutes
  • 4.6.1 Executive Briefing - Video•6 minutes
  • 4.6.4 Week 4 Outro•0 minutes
7 readings•Total 20 minutes
  • 4.1.2 How is A.I. used in Data Analytics Summary•3 minutes
  • 4.2.2 Big Data and Deep Learning Summary•4 minutes
  • 4.3.2 Robotic Process Automation Summary•4 minutes
  • 4.4.1 Data Analytics Software: R Summary•3 minutes
  • 4.5.1 Data Analytics Software: Microsoft Power Platform Summary•3 minutes
  • 4.6.2 Executive Briefing Summary•2 minutes
  • Week 4 References•1 minute
6 assignments•Total 40 minutes
  • Week 4 Quiz•15 minutes
  • 4.1.3 How is A.I. used in Data Analytics - Knowledge Check•5 minutes
  • 4.2.3 Big Data and Deep Learning - Knowledge Check•5 minutes
  • 4.3.3 Robotic Process Automation - Knowledge Check•5 minutes
  • 4.4.3 Data Analytics Software: R - Knowledge Check•5 minutes
  • 4.5.3 Data Analytics Software: Microsoft Power Platform - Knowledge Check•5 minutes

What's included

3 readings1 assignment

3 readings•Total 3 minutes
  • Leave Your Feedback•1 minute
  • Don't Forget to Claim You Some PDUs!•1 minute
  • Continue Your Education with UMD!•1 minute
1 assignment•Total 30 minutes
  • Final Exam •30 minutes

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Instructor

University of Maryland, College Park
12 Courses•8,793 learners

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