course offers students a program that covers the concepts and tools you will need throughout the entire data science pipeline: asking the right questions; wrangling and cleaning data; generating hypothesis; making inferences; visualizing data; assessing solutions; and building data products.
Parts of the presented materials in the postgraduate course of Data Science and Big Data from Universitat de Barcelona have been used in the recently published "Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications" book. This book is accompanied by a set of IPython Notebooks containing all the codes necessary to solve the practical cases of the book. The Notebooks can be found on the following GitHub repository: https://github.com/DataScienceUB/introductiondatascience-python-book.
October 2, 2018 - July 2, 2019
Tuesday 18h-20h and Thursday 18h-20h
Applications will start on April, 2018.
Acceptance notification July 15th, 2018.
Official registration during September, 2018.
The 2018-2019 edition of the course will be taught in Spanish
8 hours per week (including lectures and homework)
The program is specially designed for students with a background in computer science, mathematics, and applied statistics, but other scientific and engineering backgrounds can be considered.
We will require to follow lessons and complete class exercises using personal laptops. You will not be able to complete all your assignments in class if you rely solely on desktop equipment at home.
Edifici Històric de la Universitat de Barcelona, Gran Via de les Corts Catalanes 585, 08007, Barcelona