About
Introduction:
In the modern business landscape, the ability to collect and analyze data is no longer enough. Professionals must now leverage Artificial Intelligence (AI) to accelerate insights and use advanced tools like Power BI to handle complex data sets. This program bridges the gap between traditional analytical methods and cutting-edge technology, equipping participants to make high-stakes decisions with speed and precision.
Objectives:
-
Master Prompt Engineering to use AI for problem-solving and hypothesis generation.
-
Automate data cleaning and transformation using Power BI (Power Query).
-
Analyze complex trends and correlations using AI-driven statistical models.
-
Build interactive dashboards that provide real-time business intelligence.
-
Develop persuasive storytelling skills to influence stakeholders using data-driven narratives.
Training Outline:
Day 1: Strategic Decision-Making in the AI Era
-
Core principles of decision-making and critical thinking.
-
The Data-Information-Knowledge hierarchy: How AI accelerates the cycle.
-
Identifying business challenges: Using AI to define problem statements.
-
Recognizing assumptions and constraints through AI-assisted brainstorming.
-
Practical Lab: Setting up AI personas for business case analysis.
Day 2: Advanced Data Collection & Power BI Fundamentals
-
The evolution of data collection: Big Data and digital sources.
-
Introduction to Microsoft Power BI: Interface and architecture.
-
Data Tool: Connecting Power BI to various sources (Excel, Web, Cloud).
-
Designing smart surveys and research methodologies enhanced by AI.
-
Practical Lab: Importing and shaping a raw business dataset.
Day 3: Data Transformation & Descriptive Analytics
-
Ensuring data accuracy: The "Garbage In, Garbage Out" principle.
-
Data Tool: Using Power Query for automated data cleaning and shaping.
-
Essential business statistics: Central tendency and variability.
-
Visualizing data distributions and frequency through Power BI visuals.
-
Practical Lab: Building your first automated data model and pivot analysis.
Day 4: Predictive Modeling & AI Insights
-
The role of probability and statistical decision theory in risk management.
-
AI Integration: Using AI tools for correlation and regression analysis.
-
Diagnostic analytics: Identifying "why" things happened using Power BI`s AI features.
-
Decision trees and payoff tables: Modeling uncertainty and strategic choices.
-
Practical Lab: Creating trend forecasts and predictive models.
Day 5: Data Storytelling & Persuasive Presentation
-
The AIM-FOCUS approach to professional communication.
-
Data Tool: Designing high-impact, interactive Dashboards in Power BI.
-
AI Integration: Using AI to draft executive summaries and persuasive reports.
-
Mastering the art of "Data Storytelling" to move from numbers to action.
-
Final Project: Presenting a comprehensive data-driven business solution.
Training Methodology
Pathways Training and consulting adopts the newest techniques of human resources Training and consulting and, with the following:
- Theoretical lectures are delivered via PowerPoint and visual displays (videos and short films)
- Making scientific evaluation to the trainee (before and after)
- Brainstorming and role-playing
- Using case studies related to the scientific material being delivered and the trainees` work.
- The participants get the scientific and practical material printed and on CDs and Flash memories.
- Preparing records and reports of the participants` attendance and results, with a general evaluation of the training program.
- A group of the best trainers and experts in all fields and specialties professionally prepares the scientific material.
- After finishing the course, the participants get certificates of attendance signed, certified, and issued by pathways Training and consulting.
- Our training programs start at 9:00 o`clock in the morning and end at 2:00 in the afternoon, with snack buffet during the lectures.
