Software estadístico y Visualización (B11025)

General information

Type:	OP	Curs:	5	Period:	S semester
ECTS Credits:	2 ECTS

Teaching Staff:

Group	Teacher	Department	Language
Ed: 1	Vicenta Sierra Olivera	Operaciones, Innovación y Data Sciences	ESP

Group	Teacher	Department	Language
Ed: 2	Vicenta Sierra Olivera	Operaciones, Innovación y Data Sciences	ESP

Students should already be familiar with topics related to the basic descriptive elements used in everyday life.

Lectures: 20 hours
Independent study: 30 hours

The aim of this course is to introduce students to today's most widely used data analysis and visualisation applications for the managerial context. The course is designed for students to learn how to use analytical software to visualise data effectively while also developing their ability to summarise and present results by means of simple and creative solutions.

All this serves to better respond to the demand today for professionals capable of correctly handling and presenting data for decision-making processes.

Upon successfully completing this course, students should be able to:
-Visualise data to be able to make decisions
-Manage 2 current data analysis and visualisation environments
-Transmit and present the results obtained in a rigorous, simple and creative way.

1. Introduction

2. Visualisation with Tableau

3. Visualisation with R and R Studio

Class sessions are fundamentally practical in nature. Students will work individually and in groups on the applications and techniques briefly explained by faculty.
Students will also be required to turn in a part of their final projects in each session (learning based on problem resolution).

ASSESSMENT BREAKDOWN

Documents and tutorials about R: http://www.r-project.org/
Documents and tutorials about SPSS: https://www.r-bloggers.com/
Documents and tutorials about R Tableau: hhttp://www.tableau.com/es-es/support/desktop

Group	Teacher	Department
Ed: 1	Vicenta Sierra Olivera	Operaciones, Innovación y Data Sciences

Group	Teacher	Department
Ed: 2	Vicenta Sierra Olivera	Operaciones, Innovación y Data Sciences