دليل تجهيز البيانات الاحترافي SESSION 2 скачать в хорошем качестве

دليل تجهيز البيانات الاحترافي SESSION 2

This curriculum focuses on the essential phase of data preparation and the foundational statistical principles required for accurate business analysis. It outlines how to define specific KPIs like net revenue and fraud rates while emphasizing the importance of data validation to catch errors such as duplicate records or misleading averages caused by outliers. The text categorizes information into quantitative and qualitative variables, explaining how different data types—such as discrete, continuous, nominal, and ordinal—affect reporting. Practical case studies illustrate how to maintain data integrity through deduplication, normalization, and the use of stratified sampling for large datasets. Additionally, it explores the business application of central tendency and standard deviation to measure typical performance and operational risk. Ultimately, the material serves as a guide for transforming raw, often messy information into a clean dataset ready for reliable dashboarding and decision-making.