When will I have access to the lectures and assignments?

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

No-Code Model Evaluation, Communication, and Business Impact

kurs ist nicht verfügbar in Deutsch (Deutschland)

Wir übersetzen es in weitere Sprachen. Sehen Sie sich die Sprachen an, die wir anbieten.

No-Code Model Evaluation, Communication, and Business Impact

Dieser Kurs ist Teil von Spezialisierung „No-Code Machine Learning and Data Science for Everyone“

Dozent: LearnQuest Network

Bei enthalten

Mehr erfahren

3 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Mittel

Empfohlene Erfahrung

3 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

3 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Mittel

Empfohlene Erfahrung

3 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Kompetenzen, die Sie erwerben

Kategorie: Technical Communication
Kategorie: Data-Driven Decision-Making
Kategorie: Performance Analysis
Kategorie: Predictive Modeling
Kategorie: Auditing
Kategorie: Performance Improvement
Kategorie: Dashboard Creation
Kategorie: Business Reporting
Kategorie: Management Reporting
Kategorie: Key Performance Indicators (KPIs)
Kategorie: Business Analytics
Kategorie: Predictive Analytics
Kategorie: Responsible AI
Kategorie: Model Evaluation
Kategorie: Data Storytelling
Kategorie: Process Improvement and Optimization
Kategorie: Performance Measurement
Kategorie: Continuous Quality Improvement (CQI)
Kategorie: Business Communication

Werkzeuge, die Sie lernen werden

Kategorie: No-Code Development

Wichtige Details

Zertifikat zur Vorlage

Zu Ihrem LinkedIn-Profil hinzufügen

Bewertungen

6 Zuweisungen¹

KI-bewertet siehe Haftungsausschluss

Unterrichtet in Englisch

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

Weitere Informationen zu Coursera für Unternehmen

Logos von Petrobras, TATA, Danone, Capgemini, P&G und L'Oreal

Erweitern Sie Ihre Fachkenntnisse

Dieser Kurs ist Teil der Spezialisierung Spezialisierung „No-Code Machine Learning and Data Science for Everyone“

Wenn Sie sich für diesen Kurs anmelden, werden Sie auch für diese Spezialisierung angemeldet.

Lernen Sie neue Konzepte von Branchenexperten
Gewinnen Sie ein Grundverständnis bestimmter Themen oder Tools
Erwerben Sie berufsrelevante Kompetenzen durch praktische Projekte
Erwerben Sie ein Berufszertifikat zur Vorlage

In diesem Kurs gibt es 3 Module

Develop a thorough understanding of model evaluation beyond accuracy—a vital skill in professional business analytics. Test models against constantly changing data, compare competing solutions, and adjust strategies for maximum reliability and business fit.

Moduldetails

Gain confidence evaluating machine learning models far beyond basic accuracy. This module empowers you to judge business relevance, reliability, and real-world performance—combining hands-on, no-code analysis with actionable strategies. You’ll learn to test models against changing data, recognize risks like overfitting or data drift, and communicate insights for better decision-making across teams. By mastering these skills, you’ll drive business value and ensure every model meets professional standards. Get ready to unlock sharper, more resilient analytics for your organization.

Das ist alles enthalten

8 Videos2 Lektüren2 Aufgaben

8 VideosInsgesamt 23 Minuten

Interpret and Test Models for Real-World Reliability2 Minuten
Visualize accuracy, precision, and recall with automated plots3 Minuten
Set controlled test environments3 Minuten
Export evaluation results for cross-team review3 Minuten
Automate retraining processes upon data drift detection3 Minuten
Use sandbox mode to test overfitting scenarios3 Minuten
Compare model performance across multiple timeframes3 Minuten
From Engagement to Trust2 Minuten

2 LektürenInsgesamt 10 Minuten

Action Story: When Model Accuracy Isn’t the Whole Story5 Minuten
Action Story: When Your Model Starts Lying Quietly5 Minuten

2 AufgabenInsgesamt 36 Minuten

Best Practices in Model Evaluation with No-Code Tools10 Minuten
Interpret and Test Models for Real-World Reliability26 Minuten

Transform powerful model outputs into business impact—this module empowers professionals to communicate machine learning results with clarity and confidence. Learners will master the art of translating technical predictions into actionable, audience-specific recommendations, flexing for local business needs and regulatory settings. By embedding rigorous documentation, audit trails, and transparent processes, participants will champion responsible AI practices in global organizations. Expect practical techniques, cutting-edge tools, and new confidence driving ethical, actionable insights for your workplace.

Das ist alles enthalten

7 Videos2 Lektüren2 Aufgaben

7 VideosInsgesamt 17 Minuten

Business-Focused Insights Communication and Responsible ML2 Minuten
Present actionable recommendations using interpretable models3 Minuten
Tailor insights and context for specific regional markets3 Minuten
Use translation tools for Spanish-speaking business audiences2 Minuten
Create audit-ready documentation for every model run3 Minuten
Track decision processes to support responsible ML governance2 Minuten
Ensure transparency with region-specific regulatory mapping2 Minuten

2 LektürenInsgesamt 10 Minuten

Action Story: When the Numbers Don’t Tell the Story Yet5 Minuten
Action Story: When the Audit Arrives Early5 Minuten

2 AufgabenInsgesamt 36 Minuten

Interpreting Predictions for Decision-Making10 Minuten
Business-Focused Insights Communication and Responsible ML26 Minuten

Turn analytics into real results by linking machine learning outcomes to business performance. This module prepares learners to build dynamic dashboards, automate insights delivery, and translate regional data into optimization strategies. Master collaboration in interactive analytics spaces, drive continuous enhancement cycles, and nurture a culture of data-driven improvement across teams. Equip yourself and your organization for sustainable success by embedding analytics into the heart of business growth, ensuring long-term impact and advancement.