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Practical Work Handout in Data Analysis

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dc.contributor.author NEDJAR, Imane
dc.date.accessioned 2024-05-12T08:33:30Z
dc.date.available 2024-05-12T08:33:30Z
dc.date.issued 2024
dc.identifier.uri http://hdl.handle.net/STDB_UNAM/509
dc.description.abstract We are pleased to introduce this practical work handout, which brings together the practical exercises from the Data Analysis module, specifically designed for third-year Industrial Engineering students. The main objective of these practical exercises is to empower students to implement and apply fundamental data analysis methods using the Python programming language, along with the SPSS (Statistical Package for the Social Sciences) analysis software. We have crafted this practical work handout to provide an introduction to Python programming, aimed at strengthening students’ proficiency in this language. Throughout these practical exercises, students will have the opportunity to put statistical methods into action using Python, delve into data cleaning techniques, and explore the relationships between various variables. Additionally, we will utilize the SPSS software to conduct in-depth analyses of multidimensional relationships between variables. We hope that this practical work handout will serve as a valuable resource for all participating students, equipping them with both practical programming skills and a profound understanding of data analysis methods. en_US
dc.language.iso en en_US
dc.publisher ESSAT en_US
dc.title Practical Work Handout in Data Analysis en_US
dc.title.alternative Practical Work Handout in Data Analysis en_US
dc.type Other en_US

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