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AI and Data for Managers
Upskilling Workshop

20 Academic Hours, Face-to-Face or Online

Leverage data and AI for smarter decisions - no coding needed

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Why Enroll in this 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.

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Who should attend?

This workshop is ideal for:

  • 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

Prerequisites

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

Learning Goals

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

What You'll Get...

  • 20 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
  • Wawiwa’s Certificate of Graduation, including a digital one for LinkedIn
  • Lifelong membership in Wawiwa’s global alumni community of tech professionals around the world

Professional Supervisor

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

Talia Morchi

Head of Data Analysis Programs

Talia has over 10 years of experience in the IT industry, having held the roles of Product Manager, Project Manager, and Data Solutions Manager, where she specialized in data analysis in addition to her other responsibilities.

She is a lecturer at Bar Ilan University, serving as the director of the BI Developer course and also teaching in the Data Science course. In addition, she is an undergraduate lecturer at Ono and the academic director and leading lecturer of the data analyst track at the G-Academy.

Talia is an expert in various development tools, including SQL, Python, Excel, and uniPaaS.

Talia holds a B.A. in Computer Science with Economics and Management from the Academic College of Tel Aviv, Yaffo.

Workshop Syllabus

Module 1: Data, Analytics, and Managerial Decision-Making (4 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 (4 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 (4 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 (4 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 (4 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

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

Interested in more details?

We’d be happy to answer all your questions!

I want to offer this workshop
at my institution
I want to attend this workshop
or sign up my team

Partner with Wawiwa to offer tech training programs in less than 6 months!

Wawiwa bridges the tech skills gap by reskilling people for tech professions in high demand. There are millions of tech vacancies and not enough tech professionals with the relevant knowledge and skills to fill them. What the industry needs of employees is not taught in long academic degrees. Wawiwa helps partners around the world to reskill, and upskill people for tech jobs through local tech training centers or programs. The company utilizes a proven training methodology, cutting-edge content, digital platforms for learning and assessment, and strong industry relations, to deliver training programs that result in higher employability and graduate satisfaction. This, in turn, also creates a strong training brand and a sustainable business for Wawiwa’s partners.
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