Contactar esade

Python for Data Sciences (19CIE11023)

General information






S semester

ECTS Credits:


Teaching Staff:

Group Teacher Department Language
Jordi Nin Guerrero Operaciones, Innovación y Data Sciences ENG


This course wants to be an introduction to programming in Python. Since Google chose Python as one of its main development tools, Python has become very popular for prototyping, web applications and data science. Literally thousands of libraries have been written for it and it is widely use everywhere. In this course, students will be introduced to the logic of programming. It will allow them to understand data science applications to business.

Course Learning Objectives

We live in world of Data and this availability of Data as we never have seen before is changing our society and management forever.

Before, companies had to take decisions in conditions of high uncertainty and risk simply because Data was not there. But, who doesn't want to reduce uncertainty? and who wants to take unnecessary risks?

Now, data is everywhere and companies strive to take advantage of it. But for that new competences are needed.

We have seen that before. Through the 70-90's being able to manage a spreadsheet made a difference. Not anymore! Now, computer literacy is defined by the ability to program and to move yourself around in this new universe or rich data.

This course is presented in a blended format, with both videos and hands-on experiences that will cover many the areas of interest while teaching the basics of the language. Among the many applications, we will focus on introducing the language, visualizations and applications in Data Science.

We cannot promise you that you are going to become a Data Scientist but you'll get your feet wet with Programming, Python and Data Science!!!

Looking forward to meet you!!!

Assessment criteria

Attendance, participation and contributions to class 20%
Exercises 80%


Lutz, Mark. Learning python: Powerful object-oriented programming. " O'Reilly Media, Inc.", 2013.

Timetable and sections

Group Teacher Department
Jordi Nin Guerrero Operaciones, Innovación y Data Sciences