Contactar Esade

Data Analytics with R (18CBA11004)

General information

Type:

OP

Curs:

1

Period:

S semester

ECTS Credits:

3 ECTS

Teaching Staff:

Group Teacher Department Language
Sec: A Gonzalo de la Torre Carazo Operaciones, Innovación y Data Sciences ENG

Group Teacher Department Language
Sec: B Gonzalo de la Torre Carazo Operaciones, Innovación y Data Sciences ENG

Prerequisites

Laptop computer with Windows or MacOS installed.

COURSE CONTRIBUTION TO PROGRAM

R is one of the leading softwares for Data Science worldwide. It is widely used in big companies and institutions, such as McKinsey&Company, Banco Santader or Telefónica.

Learning R is fundamental to understand better what is data science and to learn how to put analytics and artificial intelligence at work.

Course Learning Objectives

The objective of this course is to introduce relevant concepts of R and data analysis, focusing in particular on the interpretation and validity of the results that are obtained. At the end of the course, students should:

1) Understand the very basics of statistics applied to business and decision-making
2) Be familiar with R, and be able to make statistical analysis and basic modelling (hypothesis tests, regression models, etc.)

Assessment criteria

The assessment will depend 100% on class attendance.

Bibliography

Bishop, C. M. (2006). Pattern recognition. Machine Learning, 128.
Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., & Byers, A. H. (2011). Big data: The next frontier for innovation, competition, and productivity.
Siegel, E. (2013). Predictive analytics: The power to predict who will click, buy, lie, or die. John Wiley & Sons.

Timetable and sections

Group Teacher Department
Sec: A Gonzalo de la Torre Carazo Operaciones, Innovación y Data Sciences

Timetable Sec: A

From 2019/2/15 to 2019/4/12:
Each Friday from 9:00 to 12:00. (Except: 2019/4/5)

Friday2019/4/5:
From 15:30 to 17:00.
From 14:00 to 15:00.

Group Teacher Department
Sec: B Gonzalo de la Torre Carazo Operaciones, Innovación y Data Sciences

Timetable Sec: B

Friday 2019/2/15 from 9:00 to 12:00.

From 2019/2/22 to 2019/4/12:
Each Friday from 14:00 to 17:00. (Except: 2019/4/5)

Friday2019/4/5:
From 15:30 to 17:00.
From 14:00 to 15:00.