Software estadístico y Visualización (BBA11025)
General information
Type: |
OP |
Curs: |
2,3 |
Period: |
S semester |
ECTS Credits: |
2 ECTS |
Teaching Staff:
Group |
Teacher |
Department |
Language |
Ed: 1 |
David Roche Valles |
Operaciones, Innovación y Data Sciences |
ESP |
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 |
Ed: 2 |
David Roche Valles |
Operaciones, Innovación y Data Sciences |
ESP |
Previous Knowledge
Students should already be familiar with topics related to the basic descriptive elements used in everyday life.
Workload distribution
Lectures: 20 hours
Independent study: 30 hours
COURSE CONTRIBUTION TO PROGRAM
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 data analysis software effectively while also developing their ability to summarise and visualise results with 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.
Course Learning Objectives
Upon successfully completing this course, students should be able to:
-Visualise data to be able to make decisions
-Manage 3 current data analysis environments
-Transmit and present the results obtained in a rigorous, simple and creative way.
CONTENT
1. Introduction |
2. IBM SPSS Statistics |
3. Visualisation with Tableau |
4. R and R Studio |
Relation between Activities and Contents
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1 |
2 |
3 |
4 |
Project |
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Participation |
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Attendance |
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Methodology
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
ASSESSMENT BREAKDOWN
Description |
% |
Project |
70 |
Participation |
15 |
Attendance |
15 |
Assessment criteria
Final project with real data
Attendance and class participation
Bibliography
Documents and tutorials about R: http://www.r-project.org/
Documents and tutorials about SPSS: http://www.spss-tutorials.com/basics/
Documents and tutorials about R Tableau: http://www.tableau.com/es-es/support/desktop
Timetable and sections
Group |
Teacher |
Department |
Ed: 1 |
David Roche Valles |
Operaciones, Innovación y Data Sciences |
Ed: 1 |
Vicenta Sierra Olivera |
Operaciones, Innovación y Data Sciences |
Timetable Ed: 1
From 2018/1/8 to 2018/1/19:
Monday, Wednesday and Friday from 11:00 to 14:00.
Group |
Teacher |
Department |
Ed: 2 |
Vicenta Sierra Olivera |
Operaciones, Innovación y Data Sciences |
Ed: 2 |
David Roche Valles |
Operaciones, Innovación y Data Sciences |
Timetable Ed: 2
From 2018/2/7 to 2018/3/14:
Each Wednesday from 14:00 to 17:00.