Sistematizando a Qualidade de Dados: Conceitos e Impactos

Section role: supports the 'Sistematizando a Qualidade de Dados' section while the teacher connects the practical errors from the spreadsheet audit to formal technical concepts. Slides: (1) Title — 'Sistematizando a Qualidade de Dados'; (2) O Ciclo de Vida da Informação — bullets: visual diagram linking Coleta, Validação, Tratamento e Análise; (3) Validação de Dados — bullets: definition as a preventive filter during entry, examples like required fields and masks; (4) Tratamento de Dados — bullets: definition as cleaning after collection, examples like removing duplicates and fixing casing; (5) Antes e Depois — bullets: visual comparison of a messy table versus a clean, standardized table; (6) O Fenômeno do Outlier — bullets: definition of atypical data, distinguishing between data entry errors and valuable discoveries; (7) Conexão com o Dia a Dia — bullets: links back to the e-tournament dilemma in Section 1 and sets up the verification audit in Section 4. Closing slide: 'Qual a diferença prática entre impedir um erro e consertá-lo depois?' — sets up the individual verification activity that follows.