Subject

XSL Content

Introduction to Data Science

General details of the subject

Mode
Face-to-face degree course
Language
English

Description and contextualization of the subject

This short course aims to give the students a meaningful introduction and hands-on experience of what data science is, to teach them how to continue to learn data science, and to give them the desire and skills needed to do so. The provided materials will perform as an index. For each topic, the aim is to give a cursory overview and a simple demonstration of what the topic under investigation is, and guide the students to bigger and better resources to really dive into it.

Teaching staff

NameInstitutionCategoryDoctorTeaching profileAreaE-mail
CASILLAS RUBIO, ARANTZAUniversity of the Basque CountryProfesorado AgregadoDoctorNot bilingualComputer Languages and Systemsarantza.casillas@ehu.eus
JUSTO BLANCO, RAQUELUniversity of the Basque CountryProfesorado AgregadoDoctorBilingualComputer Languages and Systemsraquel.justo@ehu.eus
RODRIGUEZ FUENTES, LUIS JAVIERUniversity of the Basque CountryProfesorado AgregadoDoctorNot bilingualComputer Languages and Systemsluisjavier.rodriguez@ehu.eus

Competencies

NameWeight
Que los estudiantes sean capaces de adquirir y relacionar adecuadamente entre sí los conocimientos necesarios para poder abordar y asimilar el estudio de los conceptos teóricos y de aplicación práctica en el ámbito de la asignatura100.0 %

Study types

TypeFace-to-face hoursNon face-to-face hoursTotal hours
Lecture-based183048
Applied laboratory-based groups121527

Training activities

NameHoursPercentage of classroom teaching
Autonomous work45.00 %
Classroom/Seminar/Workshop18.0100 %
Laboratory/Field12.0100 %

Assessment systems

NameMinimum weightingMaximum weighting
Practical tasks30.0 % 50.0 %
Works and projects40.0 % 70.0 %

Temary

1- Overview

2- Computing with Python

3- Data collection, transformation, exploration and visualization

4- Machine learning for data modeling

Bibliography

Compulsory materials

- Apuntes de la asignatura

XSL Content

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