Welcome to the course "Engajamento, Conversão e o Consumidor" offered by Fundação Instituto de Administração. This course provides in-depth insights into consumer behavior, engagement, and conversion analysis using Python. Participants will gain proficiency in leveraging data analysis techniques to comprehend various stages of the customer journey and make informed managerial decisions.
The course is divided into four modules, each offering a comprehensive understanding of different analytical methods. Participants will explore regression analysis, logistic regression, decision trees, and artificial neural networks. Throughout the course, learners will engage with videos, readings, and knowledge checks to reinforce their understanding.
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This course comprises four modules that delve into regression analysis, logistic regression, decision trees, and artificial neural networks. Participants will gain a comprehensive understanding of data analysis techniques using Python.
The first module, "Identificação dos Drivers de Engajamento e Conversão pela Regressão MQO e Linear," focuses on regression analysis techniques. Participants will explore the fundamentals of regression analysis, including linear and multiple regression, to identify drivers of engagement and conversion. Through Python, learners will gain hands-on experience in analyzing consumer behavior.
In the second module, "Identificação dos Drivers de Engajamento e Conversão pela Regressão Logística," participants will delve into logistic regression for understanding consumer behavior. Through Python, learners will gain proficiency in building and analyzing logistic regression models, enabling them to make data-driven decisions to enhance engagement and conversion rates.
The third module, "Engajamento, Conversão e Árvores de Decisão," introduces participants to decision trees and their role in analyzing customer engagement and conversion. Through practical exercises and Python, learners will gain insights into leveraging decision trees to understand and optimize consumer behavior.
The final module, "Customer Churn por Meio de Redes Neurais Artificiais," focuses on customer churn analysis using artificial neural networks. Participants will explore the intricacies of neural networks and their application in understanding and predicting customer churn, equipping them with valuable insights for effective business strategies.
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