92987 - Basic Analytics (1) (Lm)

Academic Year 2024/2025

Learning outcomes

techniques concerning the analysis of data bases. In particular the student is expected to learn: - probability s tools - measures of variance - index numbers

Course contents

1. Data collection, management and visualization

2. Descriptive statistics

3. Statistical inference

4. Hypothesis testing

5. Simple regression

6.Composite indicators

Readings/Bibliography

Course material supplied by teacher

Assessment methods

A written test containg both theoretical questions and exercices is madatory. For each question a score from 0 to 36 is provided. 6 points for a non-answer. The final score of the written test is obtained as the average of the scores.

During the test is not allowed any materials such as textbooks, notes, computer media.

To take the exam you must pre-register on AlmaEsami

Those who do not succeed to enroll by the due date, are required to report promptly (and in any event before the official closing of the subscription lists) the problem to the Secretary's office. The teacher shall have the right to admit to the examinations. 

The verbalization can occur in the absence of the student.

Office hours

See the website of Andrea Guizzardi