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Data Statistics for Engineering
Business, Design & Innovation Program
Barcelona, Spain
Dates: 1/7/27 - 4/30/27
Data Statistics for Engineering
OVERVIEW
CEA CAPA Partner Institution: University of Vic
Location: Barcelona, Spain
Primary Subject Area: Mathematics
Other Subject Area: Engineering
Instruction in: English
Transcript Source: Partner Institution
Course Details: Level 300
Recommended Semester Credits: 3
Contact Hours: 45
Prerequisites: Students are expected to have prior knowledge of basic linear algebra, including matrix operations and diagonalization, as well as foundational concepts in descriptive and inferential statistics, such as hypothesis testing. Familiarity with the R programming environment for basic data analysis tasks is also required.
DESCRIPTION
This course provides an introduction to statistical data analysis with a focus on managing, modeling, and analyzing datasets. Students will learn fundamental statistical techniques to work with large datasets and extract meaningful insights. Emphasis is placed on exploratory data analysis, statistical inference, regression, classification, and machine learning methods applied to real-world data.