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 1, 2019 - July 2, 2020
Tuesday 18h-20h and Thursday 18h-20h
Early stage registration (required) opened until July 1st, 2019.
Acceptance notification July 10th, 2019.
Official registration during July-September, 2019.
The 2019-2020 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