This document provides a complete training package designed for professionals seeking to strengthen their data analysis capabilities and apply analytical thinking to real organizational challenges. It is structured as a practical, hands-on workshop The content is suitable for managers, analysts, engineers, and decision-makers who rely on data to improve performance, support strategy, and communicate insights effectively.
The program begins with a full introduction to the fundamentals of data science, focusing on the role of data in modern business environments. It explains different types of data sources, how to collect and organize information, and the essential steps of cleaning and preparing datasets for meaningful analysis.
To ensure practical learning, the document includes workshop activities that involve analyzing real traffic, transportation, and logistics data. These exercises help build confidence in interpreting large datasets, performing cost analysis, and preparing professional reports. The workshop also demonstrates how to develop visual dashboards and presentations using widely accessible tools such as Excel and Power BI.
The second day focuses on the application of technology for strategic decision-making. It introduces analytical models for evaluating alternatives, helping professionals choose the best course of action based on data. The content covers advanced Excel functions used in complex analysis and introduces the fundamentals of Power BI dashboard design.
Overall, this document provides a well-rounded, practical, and accessible framework for developing data-driven decision-making skills. It equips learners with the tools, methodologies, and confidence needed to translate data into valuable business insights.
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Source: Best Practices in Analytics, Data Analysis PowerPoint Slides: Data Analysis Using Excel, Power BI, and SQL PowerPoint (PPTX) Presentation Slide Deck, Alaa Mohamed
Analytics Data Analysis Data & Analytics Data Monetization Value Chain Analysis Purpose
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