156-0590/01 – Analisis de Datos (BAN)

Gurantor department	Department of Applied Economics	Credits	3
Subject guarantor	doc. Antonio Rodríguez Andrés, Ph.D.	Subject version guarantor	doc. Antonio Rodríguez Andrés, Ph.D.
Study level	undergraduate or graduate
		Study language	Spanish
Year of introduction	2020/2021	Year of cancellation	2020/2021
Intended for the faculties	EKF	Intended for study types	Follow-up Master, Bachelor

Instruction secured by
Login	Name	Tuitor	Teacher giving lectures
AND0096	doc. Antonio Rodríguez Andrés, Ph.D.

Extent of instruction for forms of study
Form of study	Way of compl.	Extent
Full-time	Examination	2+0

Subject aims expressed by acquired skills and competences

Passing the course, student will be able to work with important basics of the descriptive analysis and statistics, data visualization, regression analysis, binary choice models, count and panel data models using statistical software R.

Teaching methods

Lectures
Individual consultations

Summary

Course contents includes the basics of R, pre-processing and data visualization techniques, study and application of linear, non-linear models, and basic panel data models. Students will apply and analyze the results using the R software. The student will prepare and present both in oral and written form a research project in which the concepts studied will be discussed and applied to a particular problem.

Compulsory literature:

LANDER, Jared P. [i]R for everyone: Advanced Analytics and Graphics.[/i] Crawfordsville: Adison Wesley, 2014. ISBN-13: 978-0-321-88803-7. VERZANI, John. [i]Using R for introductory statistics.[/i] [online]. Available from: https://cran.r-project.org/doc/contrib/Verzani-SimpleR.pdf. WOOLDRIDGE, Jeffrey M. [i]Introductory econometrics: a modern approach. [/i] Sixth edition. Boston: Cengage Learning, 2016. ISBN 978-1-305-27010-7.

Recommended literature:

DOUGHERTY, Christopher. [i]Introduction to econometrics. [/i] Fifth edition. Oxford: Oxford University Press, 2016. ISBN 978-0-19-967682-8. JAMES, G., D. WITTEN, T. HASTIE and R. TIBSHIRANI. [i]An Introduction to Statistical Learning Applications in R. [/i] Stanford: Springer, 2012. Available from: http://www-stat.stanford.edu/~tibs/. NEUSSER, Klaus. [i]Time series econometrics.[/i] Switzerland: Springer, 2016. Springer texts in business and economics. ISBN 978-3-319-32861-4.

Way of continuous check of knowledge in the course of semester

E-learning

Other requirements

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Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

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Conditions for subject completion

Conditions for completion are defined only for particular subject version and form of study

Occurrence in study plans

Academic year	Programme	Branch/spec.	Spec.	Zaměření	Form	Study language	Tut. centre	Year	W	S	Type of duty

Occurrence in special blocks

Block name	Academic year	Form of study	Study language	Year	W	S	Type of block	Block owner
Incoming students - bachelor study	2020/2021	Full-time	English				Choice-compulsory	163 - International Office	stu. block

Assessment of instruction

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