Degree in Business Intelligence and Data Analytics

Lead the transformation of companies through the use and analysis of data.

Data visualization

Description
Data has become one of the most important assets, if not the most, all organizations have nowadays. All businesses, no exceptions, leverage on data to make decisions -from daily (operational) ones to long term (strategic) ones. Being able to analyse data sets and extract meaningful insights from the data has become a critical and very demanded capacity in most companies. Data comes in all sorts of size, structure, format or type. In this course, we will focus on providing tools to visualize common sets of data to enable its analysis by business users through tools like apps or dashboards.
Type Subject
Tercer - Obligatoria
Semester
Second
Course
2
Credits
3.00

Titular Professors

Previous Knowledge
Objectives

1. Data Visualization objectives
2. Types of information and graph selection
3. Dashboard design
4. Tools for Data Visualization
5. Advanced graphs

Contents

1.- Introduction to Data Visualisation
2.- Types of information and graph selection
3.- Dashboard design
4.- Tools for Data Visualization
5.- Advanced graphs

Methodology

The subject is mostly practical (75%). You will learn how to use Microsoft Power BI (we will use it in almost every class). And be ready to replicate everything you see the teacher doing.

We will also see theory (25%) in between that will provide a meaning to everything we build.

Evaluation

The following elements will determine the final grade of the student:
- Midterm Exam: 15%
- Final Exam: 30%
- Group Project: 30%
- Continuous Evaluation: 25%

The Final Exam and the Group Project must both be passed in order to pass the subject.

Evaluation Criteria
Basic Bibliography
Additional Material