Objectives

Enterprises collect large amounts of data about their clients: historical purchases, responses to marketing events, web search logs, etc. In today’s data-driven economy, data can assist enterprises to better understand their customers, and to take more informed decisions about the business.

The objective of the course is to introduce concepts in Business Intelligence and Data Analytics. During the course we will review several methods to extract and manipulate data (SQL), visualize data and make predictive decisions from data. We will also highlight potential pitfalls. Students will get hands-on experience using Python code.

• Group A: English
• Group B: French

Contents

Students completing the course will understand concepts in:

• Querying data using SQL
• Data visualization
• Concepts from data mining and machine learning (e.g. regression, clustering, classification, text analysis, association rules)

References

The lecture material will consist of slides given by the instructor.

Recommended reading (but not required)

• “Business Analytics: The Science of Data-Driven Decision Making”, U. Dinesh Kumar (Publisher: Wiley)

Pre-requisites

The course "Modèles Informatiques".

Term project

- Type of project : -
- Maximum number of projects admitted for this course : -
- Deadline for applying to course professor for project : -
- Deadline for submitting finished project : -
- Method of evaluation (including resit options) : -
- Other information : -

Evaluation

First attempt

Exam:

Without exam (cf. terms)  

Evaluation:

• Quizzes in Moodle
• Personal Assignments (Moodle)

Retake

Exam:

Written 2 hours

Documentation:

Not allowed

Calculator:

Not allowed

Evaluation:

1 written exam in Moodle.