AI and Data for Managers
Upskilling Workshop

16 Academic Hours, Face-to-Face or Online

Leverage data and AI for smarter decisions - no coding needed

Warum sollten Sie sich für diesen Workshop anmelden?

Managers who know how to interpret data and leverage AI gain a clear advantage in making smarter business decisions.

This instructor-led workshop equips managers and decision-makers with the skills to confidently work with data, dashboards, and AI tools – without needing to write code. Participants learn how analytics creates business value, how to ask the right questions, and how to turn insights into effective actions.

Through hands-on exercises, discussions, and real-world case studies, the workshop also strengthens analytical thinking, improves the ability to interpret reports and dashboards, and helps managers collaborate more effectively with data teams while using AI in the decision-making process.

By enrolling in this workshop, you’ll sharpen your decision-making skills, learn to turn data into clear actions, and confidently navigate AI-driven business environments.

Wer sollte teilnehmen?

Dieser Workshop ist ideal für:

Leaders, managers, and decision-makers
Professionals who create reports, dashboards, and analytics to guide decisions
Non-technical professionals who want to use data and AI without coding

Voraussetzungen

Basic business or managerial experience
Familiarity with business reports, dashboards, or performance metrics
Interest in using data and AI to support better decision-making

Lernziele

By the end of this workshop, participants will:

Understand how analytics creates business value and what to expect from data and dashboards
Interpret reports, charts, and dashboards critically to identify trends, risks, and inconsistencies
Choose the right tools and outputs (e.g., Excel, BI, automation) for different business questions
Collaborate effectively with analysts and use AI tools to generate insights
Translate insights into clear decisions, follow-up analysis, and actionable plans

Was Sie bekommen...

16 academic hours of training in 5 face-to-face or online sessions with a professional instructor, teaching in English
Instruction, guided analysis of reports, charts, and dashboards, AI-assisted practice, and managerial discussions
Wawiwas Abschlusszeugnis, einschließlich einer digitalen Version für LinkedIn
Lebenslange Mitgliedschaft in Wawiwa's globaler Alumni-Gemeinschaft von Tech-Profis auf der ganzen Welt

Professioneller Betreuer

This unique workshop was built by a professional team made up of the leading experts in data and AI, with vast knowledge and experience in training too.

Talia Morchi

Leiter der Datenanalyse-Programme

Talia verfügt über mehr als 10 Jahre Erfahrung in der IT-Branche und war als Produktmanagerin, Projektmanagerin und Data Solutions Manager tätig, wo sie sich zusätzlich zu ihren anderen Aufgaben auf die Datenanalyse spezialisierte.

Sie ist Dozentin an der Bar Ilan University, wo sie als Leiterin des Kurses BI Developer fungiert und auch im Kurs Data Science unterrichtet. Darüber hinaus ist sie Dozentin für Bachelor-Studiengänge bei Ono und akademische Leiterin und leitende Dozentin des Studiengangs Datenanalysten an der G-Academy.

Talia ist Expertin für verschiedene Entwicklungstools, darunter SQL, Python, Excel und uniPaaS.

Talia hat einen B.A. in Informatik mit Wirtschaft und Management vom Academic College of Tel Aviv, Yaffo.

Workshop-Syllabus

Module 1: Data, Analytics, and Managerial Decision-Making (3 Hours)

Why analytics matters: business value, risks, and common misconceptions
Roles in the data ecosystem: Data Analyst, Business Intelligence (BI), and Data Engineering – what each role delivers
Data collection vs. data analysis: why more data does not automatically lead to better decisions
Framing the business question: defining objectives, constraints, and Key Performance Indicators (KPIs) that guide the analysis
Common managerial mistakes when working with data and how to avoid them

Hands-on: Make a decision using partial data, identify what information is missing, and draft the next analysis request.

Module 2: Understanding Analysis Results (3 Hours)

How to read reports, charts, and dashboards critically: trends, anomalies, baselines, and comparisons
Segmentation and data cuts: time, region, product, channel, and customer type
Correlation vs. causation – and how misinterpretation leads to poor decisions
When data misleads: situations where “good-looking” metrics still harm the business
Contradicting indicators: managing KPI conflicts and trade-offs

Hands-on: Analyze a mini dashboard, identify insights and risks, and define follow-up questions.

Module 3: Data and Visualization Tools from a Manager’s Perspective (3 Hours)

The tool landscape: Microsoft Excel, Power BI, SQL, Python, and automation tools – who uses them and why
Excel as a managerial tool: quick analysis, pivot tables, and simple dashboards – strengths and limitations
Power BI for multidimensional analysis: when Excel is not sufficient, governance considerations, and data refresh cycles
Risks of blind reliance on dashboards: metric definition drift, missing context, and incorrect filters
Choosing the right tool and output for a business question – and how to brief the analytics team effectively

Case study + hands-on: Analyze the same business problem using Excel and Power BI – compare insights and resulting decisions.

Module 4: People, Data, and Artificial Intelligence (AI) in the Organization (3 Hours)

What makes a strong Data Analyst: analytical thinking, communication skills, business understanding, and professional integrity
How managers and analysts work best together: briefing, review, iteration, and alignment around decisions
AI in analysis and decision-making: where it helps, where it can mislead, and what needs validation
Using AI tools as a manager: clarifying metric definitions, generating hypotheses, summarizing findings, and drafting decision briefs
Boundaries and responsibility: confidentiality, compliance, verification, and human accountability

Hands-on: Design a workflow (people + tools + AI) for a cross-departmental use case.

Module 5: From Insights to Business Action (3 Hours)

Turning insights into decisions: evaluating options, assumptions, risks, and potential business impact
Prioritization frameworks: effort vs. impact, risk vs. reward, and quick wins vs. strategic initiatives
Validating decisions: leading vs. lagging indicators, experiments, and feedback loops
Embedding data into ongoing management processes

BIT project (industry-tailored): Participants produce a decision plan and draft a follow-up analytics request.

Interessieren Sie sich für weitere Details?

Wir beantworten gerne alle Ihre Fragen!

Bieten Sie gemeinsam mit Wawiwa in weniger als 6 Monaten technische Schulungen an!

Wawiwa schließt die Lücke bei den technischen Fähigkeiten, indem es Menschen für gefragte technische Berufe umschult. Es gibt Millionen offener Stellen im technischen Bereich und nicht genügend Fachleute mit den entsprechenden Kenntnissen und Fähigkeiten, um sie zu besetzen. Was die Industrie von ihren Mitarbeitern verlangt, wird nicht in langen akademischen Abschlüssen gelehrt. Wawiwa hilft Partnern auf der ganzen Welt bei der Umschulung und Höherqualifizierung von Mitarbeitern für technische Berufe durch lokale Schulungszentren oder -programme. Das Unternehmen nutzt eine bewährte Schulungsmethodik, modernste Inhalte, digitale Lern- und Bewertungsplattformen und enge Beziehungen zur Industrie, um Schulungsprogramme anzubieten, die zu einer höheren Beschäftigungsfähigkeit und Zufriedenheit der Absolventen führen. Dies wiederum schafft eine starke Ausbildungsmarke und ein nachhaltiges Geschäft für die Partner von Wawiwa.

AI and Data for Managers
Upskilling Workshop

16 Academic Hours, Face-to-Face or Online

Leverage data and AI for smarter decisions - no coding needed

Warum sollten Sie sich für diesen Workshop anmelden?

Wer sollte teilnehmen?

Voraussetzungen

Lernziele

Was Sie bekommen...

Professioneller Betreuer

This unique workshop was built by a professional team made up of the leading experts in data and AI, with vast knowledge and experience in training too.

Talia Morchi

Workshop-Syllabus

Module 1: Data, Analytics, and Managerial Decision-Making (3 Hours)

Module 2: Understanding Analysis Results (3 Hours)

Module 3: Data and Visualization Tools from a Manager’s Perspective (3 Hours)

Module 4: People, Data, and Artificial Intelligence (AI) in the Organization (3 Hours)

Module 5: From Insights to Business Action (3 Hours)

Bieten Sie gemeinsam mit Wawiwa in weniger als 6 Monaten technische Schulungen an!

Für weitere Informationen:

Lageplan

AI and Data for Managers Upskilling Workshop

16 Academic Hours, Face-to-Face or Online

Leverage data and AI for smarter decisions - no coding needed

Warum sollten Sie sich für diesen Workshop anmelden?

Wer sollte teilnehmen?

Voraussetzungen

Lernziele

Was Sie bekommen...

Professioneller Betreuer

This unique workshop was built by a professional team made up of the leading experts in data and AI, with vast knowledge and experience in training too.

Talia Morchi

Workshop-Syllabus

Module 1: Data, Analytics, and Managerial Decision-Making (3 Hours)

Module 2: Understanding Analysis Results (3 Hours)

Module 3: Data and Visualization Tools from a Manager’s Perspective (3 Hours)

Module 4: People, Data, and Artificial Intelligence (AI) in the Organization (3 Hours)

Module 5: From Insights to Business Action (3 Hours)

Bieten Sie gemeinsam mit Wawiwa in weniger als 6 Monaten technische Schulungen an!

Für weitere Informationen:

Lageplan

AI and Data for Managers
Upskilling Workshop