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

Por que se inscrever neste workshop?

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.

Quem deve participar?

Este workshop é ideal para:

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

Pré-requisitos

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

Metas de aprendizado

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

O que você receberá...

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
Certificado de graduação de Wawiwa, incluindo um certificado digital para o LinkedIn
Participação vitalícia na comunidade global de ex-alunos da Wawiwa, composta por profissionais de tecnologia de todo o mundo

Supervisor Profissional

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

Chefe de programas de análise de dados

Talia tem mais de 10 anos de experiência no setor de TI, tendo ocupado as funções de gerente de produto, gerente de projeto e gerente de soluções de dados, onde se especializou em análise de dados, além de suas outras responsabilidades.

Ela é professora na Universidade Bar Ilan, atuando como diretora do curso de Desenvolvedor de BI e também lecionando no curso de Ciência de Dados. Além disso, ela é professora de graduação na Ono e diretora acadêmica e professora líder do curso de analista de dados na G-Academy.

Talia é especialista em várias ferramentas de desenvolvimento, incluindo SQL, Python, Excel e uniPaaS.

Talia é formada em Ciência da Computação com Economia e Administração pela Faculdade Acadêmica de Tel Aviv, Yaffo.

Programa do workshop

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.

Interessado em mais detalhes?

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Faça uma parceria com a Wawiwa para oferecer programas de treinamento tecnológico em menos de 6 meses!

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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

Por que se inscrever neste workshop?

Quem deve participar?

Pré-requisitos

Metas de aprendizado

O que você receberá...

Supervisor Profissional

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

Programa do workshop

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)

Faça uma parceria com a Wawiwa para oferecer programas de treinamento tecnológico em menos de 6 meses!

Para obter mais informações:

Mapa do site

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

Por que se inscrever neste workshop?

Quem deve participar?

Pré-requisitos

Metas de aprendizado

O que você receberá...

Supervisor Profissional

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

Programa do workshop

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)

Faça uma parceria com a Wawiwa para oferecer programas de treinamento tecnológico em menos de 6 meses!

Para obter mais informações:

Mapa do site

AI and Data for Managers
Upskilling Workshop