Contactar esade

Business Analytics and Decision Making (19M95165)

General information

Type:

OB

Curs:

1

Period:

S semester

ECTS Credits:

2 ECTS

Teaching Staff:

Group Teacher Department Language
Sec: A Marc Torrens Arnal Operaciones, Innovación y Data Sciences ENG

Group Teacher Department Language
Sec: B Marc Torrens Arnal Operaciones, Innovación y Data Sciences ENG

Group Teacher Department Language
Sec: C Marc Torrens Arnal Operaciones, Innovación y Data Sciences ENG

COURSE CONTRIBUTION TO PROGRAM

Why is learing about Business Analytics and Decision-making important?
Advanced Data Analytics is the next frontier for productivity, innovation and competition. Digitalization is fully taking place in private and public sectors generating vast amounts of relevant data. Data is the new oil of the economy, and this course is about extracting value from data.
On the other hand, there is and will be a significant shortage of analytical talent both in a technical and management positions. This course is not about becoming a data scientist but about becoming a manager that deeply understands the potential of data anlytics to solve real business needs. It will become key for managers to be able to talk the same language as data scientists. The best way to master in leading and managing Big Data teams is to fully understand what they are doing. This new skill will be needed in all stages of a company and for all different departments.
The main objective of this course is to educate yourself to be able to improve decision-making in any discipline and organization by using business analytics. We will learn how to use existing platforms to perform many data analytic tasks without requiring programming skills.

Course Learning Objectives

The objective of this course is therefore to introduce concepts of Big Data and business analytics, focussing in prticular on the interpretation and validity of the results that are obtained as well as on how to use them to create new strategies. To this end, we will introduce BigML that will provide us the perfect platform for statistical and Machine Learning tasks. At the end of the course, students should:
- Be familiar with Big Data and Advanced Analytics.
- Be acknowledgeable on how companies are leveraging data techniques to outperform.
- Understand the very basics of statistics applied to business and decision-making
- Be able to solve a business case applying Big Data and Advanced Analytic techniques and Machine Learning.
By the end of the course, participants are expected to have acquired the Big Data fundamentals and be capable of analyzing a Business Analytics problem. They should be able to undrestand, discuss and define Big Data and analytics stretegies for real business situations.

Timetable and sections

Group Teacher Department
Sec: A Marc Torrens Arnal Operaciones, Innovación y Data Sciences

Timetable Sec: A

Group Teacher Department
Sec: B Marc Torrens Arnal Operaciones, Innovación y Data Sciences

Timetable Sec: B

Group Teacher Department
Sec: C Marc Torrens Arnal Operaciones, Innovación y Data Sciences

Timetable Sec: C