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In diesem Kurs gibt es 5 Module
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.
Das ist alles enthalten
7 Videos12 Lektüren6 Aufgaben
Infos zu Modulinhalt anzeigen
7 Videos•Insgesamt 41 Minuten
1.1.0 Intro to Week 1•0 Minuten
1.1.1 Your Company As a Decision Factory Video•8 Minuten
1.2.1 What Kind of Decisions Do Your Customers Make? - Video•9 Minuten
1.3.1 What Kind of Decisions Do Your Employees Make? - Video•8 Minuten
1.4.1 What Kind of Decisions Do Your Leaders Make? - Video•11 Minuten
1.5.1 Porter's Five Forces Model and Your Decision Factory - Video•5 Minuten
1.5.4 Week 1 Outro•0 Minuten
12 Lektüren•Insgesamt 31 Minuten
Welcome!•2 Minuten
Course Syllabus•3 Minuten
Course Instructor•1 Minute
FAQs•1 Minute
1.1.2 Your Company As a Decision Factory Summary Points•4 Minuten
1.2.2 What Kind of Decisions Do Your Customers Make? Summary•6 Minuten
1.3.2 What Kind of Decisions Do Your Employees Make? Summary•4 Minuten
1.4.2 What Kind of Decisions Do Your Leaders Make? Summary•4 Minuten
1.5.2 Porter's Five Forces Model and Your Decision Factory Summary•3 Minuten
Don't Forget to Claim You Some PDUs!•1 Minute
Week 1 References•1 Minute
Leverage Your Learning Today!•1 Minute
6 Aufgaben•Insgesamt 40 Minuten
1.1.3 Your Company As a Decision Factory Knowledge Check•5 Minuten
1.2.3 What Kind of Decisions Do Your Customers Make? - Knowledge Check•5 Minuten
1.3.3 What Kind of Decisions Do Your Employees Make? - Knowledge Check•5 Minuten
1.4.3 What Kind of Decisions Do Your Leaders Make? - Knowledge Check•5 Minuten
1.5.3 Porter's Five Forces Model and Your Decision Factory - Knowledge Check•5 Minuten
Week 1 Quiz•15 Minuten
Week 2 Data-Enabled Decision Making
Modul 2•2 Stunden abzuschließen
Moduldetails
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.
Das ist alles enthalten
7 Videos6 Lektüren6 Aufgaben
Infos zu Modulinhalt anzeigen
7 Videos•Insgesamt 41 Minuten
2.1.0 Week 2 Intro•0 Minuten
2.1.1 What is Good Decision Making? - Video•9 Minuten
2.2.1 Using Data in Making Decisions - Video•9 Minuten
2.3.1 What is Good Data? - Video•5 Minuten
2.4.1 Decision Making with Incomplete and Ambiguous Data - Video•10 Minuten
2.5.1 Learning from Experience - Video•7 Minuten
2.5.4 Week 2 Outro•0 Minuten
6 Lektüren•Insgesamt 22 Minuten
2.1.2 What is Good Decision Making? Summary•4 Minuten
2.2.2 Using Data in Making Decisions Summary•5 Minuten
2.3.2 What is Good Data? Summary•3 Minuten
2.4.2 Decision Making with Incomplete and Ambiguous Data Summary•5 Minuten
2.5.2 Learning from Experience Summary•4 Minuten
Week 2 References•1 Minute
6 Aufgaben•Insgesamt 40 Minuten
2.1.3 What is Good Decision Making? - Knowledge Check•5 Minuten
2.2.3 Using Data in Making Decisions - Knowledge Check•5 Minuten
2.3.3 What is Good Data? - Knowledge Check•5 Minuten
2.4.3 Decision Making with Incomplete and Ambiguous Data - Knowledge Check•5 Minuten
2.5.3 Learning from Experience - Knowledge Check•5 Minuten
Untitled•15 Minuten
Week 3 Low-Code/No-Code Tools for Data Analytics Products
Modul 3•2 Stunden abzuschließen
Moduldetails
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.
Das ist alles enthalten
6 Videos7 Lektüren6 Aufgaben
Infos zu Modulinhalt anzeigen
6 Videos•Insgesamt 41 Minuten
3.1.1 The Low-Code/No-Code Revolution - Video•6 Minuten
3.2.1 Survey of Low-Code/No-Code Tools - Video•5 Minuten
3.3.1 Practicum: Building a Low-Code/No-Code Application (Part One) - Video•9 Minuten
3.4.1 Practicum: Building a Low-Code/No-Code Application (Part Two) - Video•9 Minuten
3.5.1 Building the Data Infrastructure for Low-Code/No-Code Applications - Video•8 Minuten
3.6.1 Executive Briefing - Video•4 Minuten
7 Lektüren•Insgesamt 18 Minuten
3.1.2 The Low-Code/No-Code Revolution Summary•4 Minuten
3.2.2 Survey of Low-Code/No-Code Tools Summary•2 Minuten
3.3.2 Practicum: Building a Low-Code/No-Code Application (Part One) Summary•4 Minuten
3.4.2 Practicum: Building a Low-Code/No-Code Application (Part Two) Summary•3 Minuten
3.5.2 Building the Data Infrastructure for Low-Code/No-Code Applications Summary•3 Minuten
3.6.2 Executive Briefing Summary•1 Minute
Week 3 References•1 Minute
6 Aufgaben•Insgesamt 40 Minuten
3.1.3 The Low-Code/No-Code Revolution - Knowledge Check•5 Minuten
3.2.3 Survey of Low-Code/No-Code Tools - Knowledge Check•5 Minuten
3.3.3 Practicum: Building a Low-Code/No-Code Application (Part One) - Knowledge Check•5 Minuten
3.4.3 Practicum: Building a Low-Code/No-Code Application (Part Two) - Knowledge Check•5 Minuten
3.5.3 Building the Data Infrastructure for Low-Code/No-Code Applications - Knowledge Check•5 Minuten
Week 3 Quiz•15 Minuten
Week 4 Artificial Intelligence in Data Analytics
Modul 4•2 Stunden abzuschließen
Moduldetails
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.
Das ist alles enthalten
8 Videos7 Lektüren6 Aufgaben
Infos zu Modulinhalt anzeigen
8 Videos•Insgesamt 47 Minuten
4.1.1 How is A.I. used in Data Analytics - Video•7 Minuten
4.1.0 Intro to Week 4•0 Minuten
4.2.1 Big Data and Deep Learning - Video•11 Minuten
4.3.1 Robotic Process Automation - Video•9 Minuten
4.4.1 Data Analytics Software: R - Video•6 Minuten
4.5.1 Data Analytics Software: Microsoft Power Platform - Video•8 Minuten
4.6.1 Executive Briefing - Video•6 Minuten
4.6.4 Week 4 Outro•0 Minuten
7 Lektüren•Insgesamt 20 Minuten
4.1.2 How is A.I. used in Data Analytics Summary•3 Minuten
4.2.2 Big Data and Deep Learning Summary•4 Minuten
4.3.2 Robotic Process Automation Summary•4 Minuten
4.4.1 Data Analytics Software: R Summary•3 Minuten
4.5.1 Data Analytics Software: Microsoft Power Platform Summary•3 Minuten
4.6.2 Executive Briefing Summary•2 Minuten
Week 4 References•1 Minute
6 Aufgaben•Insgesamt 40 Minuten
4.1.3 How is A.I. used in Data Analytics - Knowledge Check•5 Minuten
4.2.3 Big Data and Deep Learning - Knowledge Check•5 Minuten
4.3.3 Robotic Process Automation - Knowledge Check•5 Minuten
4.4.3 Data Analytics Software: R - Knowledge Check•5 Minuten
4.5.3 Data Analytics Software: Microsoft Power Platform - Knowledge Check•5 Minuten
Week 4 Quiz•15 Minuten
Final Exam
Modul 5•1 Stunde abzuschließen
Moduldetails
Das ist alles enthalten
3 Lektüren1 Aufgabe
Infos zu Modulinhalt anzeigen
3 Lektüren•Insgesamt 3 Minuten
Leave Your Feedback•1 Minute
Don't Forget to Claim You Some PDUs!•1 Minute
Continue Your Education with UMD!•1 Minute
1 Aufgabe•Insgesamt 30 Minuten
Final Exam •30 Minuten
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