Educational guide
IDENTIFYING DATA							2023_24
Subject	INTR.A LA ANALíTICA DE DATOS PARA LA EMP					Code	00508049
Study programme	0508 - G.ADMINISTRACIÓN Y DIR.DE EMPRESAS
Descriptors	Credit.	Type	Year	Period
	6	Optional		Second
Language	Castellano
Prerequisites
Department	ECONOMIA Y ESTADISTICA
Coordinador	ABAD GONZÁLEZ , JULIO IGNACIO				E-mail	jiabag@unileon.es mevalp@unileon.es
Lecturers	ABAD GONZÁLEZ , JULIO IGNACIO VALLEJO PASCUAL , MARÍA EVA
Web	http://
General description
Tribunales de Revisión	Tribunal titular Cargo Departamento Profesor Presidente ECONOMIA Y ESTADISTICA ALVAREZ ESTEBAN , RAMON Secretario ECONOMIA Y ESTADISTICA GARCIA GALLEGO , ANA BELEN Vocal ECONOMIA Y ESTADISTICA HUERGA CASTRO , MARIA DEL CARMEN Tribunal suplente Cargo Departamento Profesor Presidente ECONOMIA Y ESTADISTICA ARIAS SAMPEDRO , CARLOS Secretario ECONOMIA Y ESTADISTICA BLANCO ALONSO , PILAR Vocal ECONOMIA Y ESTADISTICA RODRIGUEZ FERNANDEZ , MARIA DEL PILAR

Competencias

Code
A19213
B5847
B5848
B5852
B5853
B5857
B5858
C2	CMECES2 That students know how to apply their knowledge to their work or vocation in a professional manner and possess the skills that are usually demonstrated through the development and defense of arguments and the resolution of problems within their area of study.
C3	CMECES3 That students have the ability to gather and interpret relevant data (normally within their area of study) to make judgments that include reflection on relevant issues of a social, scientific or ethical nature.
C5	CMECES5 That students have developed those learning skills necessary to undertake further studies with a high degree of autonomy

Learning aims

	Competences
		B5847 B5848 B5852 B5853 B5857 B5858	C2 C3 C5
	A19213	B5847 B5848 B5852 B5853 B5857 B5858	C2 C3 C5
	A19213	B5847 B5848 B5852 B5853 B5857 B5858	C2 C3 C5
	A19213	B5847 B5848 B5852 B5853 B5857 B5858	C2 C3 C5

Contents

Topic	Sub-topic

Planning

Methodologies  ::  Tests
	Class hours	Hours outside the classroom	Total hours
	40	0	40
	15	45	60
	0	45	45
Lecture	0	0	0
	5	0	5
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies

Methodologies   ::  

	Description
Lecture

Personalized attention

Description

Assessment

	Description	Qualification
		30%
		60%
Other comments and second call

Sources of information

Access to Recommended Bibliography in the Catalog ULE

Basic	Zamora Saiz, A., Quesada González, C., Hurtado Gil, L. & Mondéjar Ruiz, D., An Introduction to Data Analysis in R: Hands-On Coding, Data Mining, Visualization and Statistics from Scratch, Springer, 2020 Mas Elias, J., Análisis de datos con R en estudios internacionales, UOC, 2020 Pascual Cid, V. & Rovira Samblancat, P., Analítica visual: cómo explorar, analizar y comunicar datos, Anaya Multimedia, 2021 Ghavami, P., Big Data Analytics Methods (2nd ed.), De Gruyter, 2020 Jaggia, S., Kelly, A., Lertwachara, K. & Chen, L., Business analytics: communicating with numbers, McGraw-Hill, 2021 Paczkowski, W. R., Business Analytics: Data Science for Business Problems, Springer, 2022 Bisbé York, A.M., Curso de Power BI, Anaya, 2022 Provost, F. & Fawcett, T., Data Science for Business, O'Reilly, 2013 Muñiz Suárez, L., Dominar Power BI con casos prácticos y ejercicios de gestión empresarial, Profit, 2022 Ohri, A., R for Business Analytics, Springer, 2013 Wickham, H. & Grolemund, G., R for data science: import, tidy, transform, visualize, and model data, O'Reilly, 2017 Knaflic, C.N., Storytelling con datos. Visualización de datos para profesionales de los negocios, Anaya Editorial, 2017 Burrueco, D., Tablas dinámicas con Excel 2016, RA-MA Editorial, 2016 Schmarzo, B., The Economics of Data, Analytics, and Digital Transformation, Packt Publishing, 2020
Complementary	Vidgen, R., Kirshner, S.N. & Tan, F.B., Business analytics: a management approach, Red Globe Press, 2019 Albright, S.C. & Winston, W.L., Business analytics: data analysis and decision making (2nd ed.), Cengage, 2020 Rubio, F., Curso práctico de Google Data Studio: guía interactiva para crear informes personalizados y creativos, Anaya, 2021 Kirk, A., Data visualisation: a handbook for data driven design, Sage, 2019 Healy, K.J., Data visualization: a practical introduction , Princeton University Press, 2019 Evergreen, S.D.H., Effective data visualization: the right chart for the right data, Sage, 2017 Sievert, C., Interactive web-based data visualization with R, plotly, and shiny, CRC Press, 2020 Wickham, H., Mastering shiny: build interactive apps, reports, and dashboards powered by R, O'Reilly, 2021 Xie, Y., Allaire, J.J. & Grolemund, G., R Markdown: the definitive guide, CRC Press, 2019 Wexler, S., Shaffer, J. & Cotgreave, A., The big book of dashboards: visualizing your data using real-world business scenarios, Wiley, 2017 Wilkinson, L., The grammar of graphics (2nd ed.), Springer, 2005

Recommendations

Subjects that are recommended to be taken simultaneously

FINAL YEAR PROJECT / 00508044

Subjects that it is recommended to have taken before

STATISTICS I / 00508002 STATISTICS II / 00508013