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.
