Data Science for Economics

Professor(s)

 

Chris Rauh , Hannes Mueller , Juan Carlos Escanciano

Objetives

 

The Data Science in Economics course is where the dynamic fields of econometrics and machine learning converge. The course delves into the art and science of predictive modeling, with a special focus on leveraging the power of Natural Language Processing (NLP) through Python.

Module / Term

 

Module II: Elective Courses (54 ECTS) / Term 5 (18 ECTS)

Course details

 

UIMP code 102685 / 6 ECTS / Elective

Hours

 

Thursday (15:00 – 16:30 and 17:00 – 18:30), Friday (15:00 – 16:30)

Evaluation Criteria

 

Exercises, presentations and exams

Course page

 

https://intranet.cemfi.es/course/view.php?id=142

   
 
   
Syllabus
 
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