B5580 - WORKSHOP ON DATA SCIENCE D

Learning outcomes

Workshops are designed to provide students with transversal and multidisciplinary skills that can prove useful in their future careers. At the end of the course, students have basic knowledge about Data Mining and have experienced a programming language to write simple data analysis programs.

Course contents

This workshop presents students a wide overview of the Data Science discipline. It focuses on the processing techniques for the exploratory data analyis and understanding of structured data sets.

More in details, the course contents are:

• Introduction to Data Mining;
• Introduction to programming in R;
• Presentation of tools for the analysis of data sets and Machine Learning decision techniques;
  
• Implementation of R scripts with specific libraries for data visualization.

Topics will be introduced theoretically but also verified in R-based softwares during the laboratory hours.

ATTENTION: the class attendance is mandatory.

Readings/Bibliography

Slides by the teacher

ROBERT, I., et al. "R in action: data analysis and graphics with R". 2011.

Teaching methods

Lectures and computer lab sessions.

Assessment methods

The final assessment consists of two phases:

1. Multiple-choice quiz: The quiz includes 20 questions covering the entire course program. Passing the quiz is necessary to proceed to the next phase.

2. Project evaluation: Students must complete a project in which they analyze data using the R programming language. The project will be positively evaluated if it meets the criteria established in the project guidelines (discussed during the class hours) and demonstrates proficiency in using R and understanding the results obtained.

Teaching tools

Slides by the teacher and R scripts developed during the course

Office hours

See the website of Elena Morotti