Teaching code

4S009611

Teacher

Marco Minozzo

Coordinatore

Marco Minozzo

Credits

3

Also offered in courses:

• Data Visualization Laboratory of the course Bachelors' degree in Business Administration and Management
• Data Visualization Laboratory of the course Master’s degree in Banking and Finance
• Data Visualization Laboratory of the course Master’s degree in Economics and Data Analysis
• Data Visualization Laboratory of the course Master’s degree in Business Administration and Corporate Law
• Data Visualization Laboratory of the course Master’s degree in Marketing and Corporate Communication
• Data Visualization Laboratory of the course Master’s degree in Economics
• Data Visualization Laboratory of the course Bachelor's degree in Business Administration (Verona)
• Data Visualization Laboratory of the course Bachelor's degree in Economics and Business (Verona)
• Data Visualization Laboratory of the course Bachelor's degree in Economics and Business (Vicenza)
• Data Visualization Laboratory of the course Bachelor's degree in Business Administration (Vicenza)
• Data Visualization Laboratory of the course Master's degree in International Economics and Business Management
• Data Visualization Laboratory of the course Master’s degree in International Economics and Business
• Data Visualization Laboratory of the course Master’s degree in Management and business strategy
• Data Visualization Laboratory of the course Bachelor's degree in Economics, Firms and International Markets
• Data Visualization Laboratory of the course Bachelor's degree in Business Innovation and Economics

Language

Italian

Scientific Disciplinary Sector (SSD)

NN - -

Period

Not yet assigned

Moodle Seminars

Learning outcomes

The course "Data Visualization Laboratory" is an optional "type f" activity, which allows to students to obtain 3 CFU, once a final examination is passed. In particular:

- The course is open to all CdL and CdLM students of the School of Economics and Management; in particular to second and third year CdL students.

- Due to the COVID-19 emergency, this year lessons will be delivered online through Zoom meetings. The course has, approximately, 50 places.

- The course will take place in the first semester; there will be just one course.

- Requests for participation will be considered following the registration order; CdL students will have priority over CdLM students. Students are required to participate to the first lesson, or to send an email to the tutor to communicate their absence.

- The frequency to the classes is compulsory. Students are required to attend at least 2/3 of the exercise lessons/tutorial activity in order to be admitted to the final evaluation.

- The course consists of 18 hours of exercise lessons and tutorial activity (plus 2 hours of final examination).

The calendar of the course will be available as soon as possible.

Teacher: to be announced


Registrations are open from the 13th of October 2020 to the 18th of October 2020.

Please, register through the elearning platform (Moodle). Students without a university IT account can ask to be registered by writing an email to the coordinator of the course. All other students must use the procedure on Moodle.

Program

In recent years, Data Presentation has established itself as one of the most requested skill on LinkedIn. At the same time, Tableau and Power BI have established themselves as the reference software for data visualization in the modern data science. In addition to providing an intuitive environment for managing, manipulating and displaying significant amounts of data, these software also provide an easy interface with R, Python and MATLAB, useful for more complex analyzes. The program of the course includes some lessons on Data Visualization and on the software Power BI:

- Databases and data types;
- Selection and analysis of data with the software Excel;
- Managing and structuring data for Power BI;
- Introduction to Data Visualization;
- Power BI capabilities and models of data visualization;
- Implementation of a data visualization model with a dashboard.

Examination Methods

Students are required to attend at least 2/3 of the exercise lessons/tutorial activity in order to be admitted to the final evaluation. The final examination, which will take place online through a Zoom meeting, will consist of a written exam, followed by an oral examination, if necessary, on the use of the software Power BI. There will be just one date for the final examination.