Specialization in Data science for economics, business and finance (Università degli Studi di Milano)
Language
Lectures are in italian.
Course material
The course is based on the textbook Mining of Massive Datasets (MMD hereafter).
Syllabus
The course explains the topics listed in the lecture calendar.
Lectures calendar
| Date | Topic | Material |
|---|---|---|
| 07/07/2018 | Distributed storage (HDFS). |
|
| 07/07/2018 | Map-reduce |
|
| 12/07/2018 | Examples of map-reduce algorithms. |
|
| 14/07/2018 | Apache Spark. | |
| 14/07/2018 | Link analysis. | |
| 14/07/2018 | Similar items. |
|
| 19/07/2018 | Frequent itemsets. |
|
| 19/07/2018 | Clustering. |
|
| 19/07/2018 | Recommender systems. |
|
| 20/07/2018 | Regression. |
Exam modalities
The exam involves the courses Parallel and distributed computing, Elements of R and python (python module), Databases, data linking and data visualization e Cloud computing, Data Base and Web Scraping Lab (Cloud computing module). Students can download a notebook describing a project to implement and a file containing data to be processed. The project implementations (individual or by a group of max 2 people) should be sent via e-mail to the teachers.