Research Methodology
15hCovers scientific research principles, problem definition, project planning, use of theory, data collection and interpretation, modeling, simulation, experimentation, and result analysis.
Module 5
Methodological Support and Application
Final module integrating methodological rigor, academic writing, and project development.
The final module consolidates the learning journey. It provides methodological foundations, mastery of academic standards, and support for developing an applied Data Science project with technical rigor and practical relevance.
Technical Standards for Academic Work
15hAddresses scientific writing, academic work structure, copyright care, and the application of ABNT standards.
Data Science Project
45hIntegrates problem definition and methodologies for Data Science projects, data collection and preparation, exploratory analysis, modeling, implementation, execution, evaluation, validation, presentation of results, and ethical and human aspects.