Unit name | Data Analytics |
---|---|
Unit code | EFIMM0104 |
Credit points | 15 |
Level of study | M/7 |
Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
Unit director | Dr. Crespo |
Open unit status | Not open |
Pre-requisites |
None |
Co-requisites |
None |
School/department | School of Economics |
Faculty | Faculty of Social Sciences and Law |
The aim of this unit is to teach some basic statistic and econometric methods in the context of real-world empirical problems. The first part of the course concentrates on basic statistical techniques which are required for the study of econometrics in the second part of the course. Although a number of key theoretical concepts are introduced, the emphasis is on applying statistical and econometric techniques to real-world problems in economics, finance and management.
Unit aims:
(1) To give students an understanding of basic concepts in statistics, which are used in economic and financial theory and form a foundation of econometrics.
(2) To teach econometrics to students whose primarily interest is not in econometrics, but to apply econometric techniques to real-world empirical problems. The unit will enable students to use these techniques in their dissertation and to have a general understanding of published econometric results.
At the end of the course a successful student will be able to:
Teaching will be delivered through a combination of synchronous and asynchronous sessions such as online teaching for large and small group, face-to-face small group classes (where possible) and interactive learning activities
Coursework (85%) and MCQ Test (15%).
Cortinhas C. and K. Black (2012), Statistics for Business and Economics, John Wiley & Sons, Ltd.
Stock, J. H. and M. W. Watson (2008), Introduction to Econometrics: Brief Edition, Pearson Education, Inc.