Courses

Panel Data Methods and Factor Models with EViews

21 - 22 October & 13 - 14 November 2019 Cass Business School 2 days (21st October 2019 - 14th November 2019) EViews

This two-day course will explore two important topics in Econometrics; Panel Data estimation and the use of factor models in economic forecasting and analysis.

Introduction to Stata (CEST Time)

25 October 2019 Warsaw University, Department of Economics, ul.Długa 44/50, Warszawa Half day (25th October 2019 - 25th October 2019) Stata

This course provides basic concepts of data management and how to do it efficiently using Stata. We provide several examples and use learning by doing techniques. The course focuses on available Stata commands and additional resources provided by the Stata-users community.

Macroeconomic Density Forecasting & Nowcasting (EST)

4 - 6 November 2019 New Horizons, Computer Learning Centre, New York City, USA 3 days (28th October 2019 - 30th October 2019) EViews

Whether you deal with forecasting at a Central Bank, public institution, bank or consultancy firm; or you use forecasting techniques in your research, this is the perfect course to bring you up to date with the latest methods in the forecasting profession.

Advances in Causal Inference using Stata

28 - 29 October 2019 Cass Business School, Bunhill Row, London EC1Y 8TZ 2 days (28th October 2019 - 29th October 2019) Stata

Econometric modelling for causal inference and program evaluation have witnessed a tremendous development in the last decade, with new approaches and methods addressing an expanding set of challenging problems, both in medical and the social sciences. This course covers some recent developments in causal inference and program evaluation using Stata.

Stata Programming & Managing Large Datasets (UK)

4-6 November 2019 Cass Business School 3 days (4th November 2019 - 6th November 2019) Stata

The course focuses on practical programming needs arising when dealing with large datasets, multiple data sources and the programming tools which may help in routinising complex tasks and automating pieces of your work.

Macroeconomic Density Forecasting & Nowcasting (UK)

6 - 8 November 2019 Cass Business School 3 days EViews

Whether you deal with forecasting at a Central Bank, public institution, bank or consultancy firm; or you use forecasting techniques in your research, this is the perfect course to bring you up to date with the latest methods in the forecasting profession.

Automatic selection of explanatory variables with Stata

20 November 2019 Frankfurt am Main 1 day (20th November 2019 - 20th November 2019) Stata

Our Stata course Automatic selection of explanatory variables with Stata aims at introducing methods suitable to automatically select the relevant explanatory variables of linear regression models.

What Sample Size do I need? With Stata

25 November 2019 Cass Business School 1 day (25th November 2019 - 25th November 2019) Stata

Choosing an appropriate sample size is a common problem and should be given due consideration in any research proposal, as an inadequate sample size invariably leads to wasted resources. This course gives a practical introduction to sample size determination in the context of some commonly used statistical hypothesis tests.

Análise de Dados Epidemiológicos com o Stata

Dias 2, 4, 9, 11, 16 e 18 de Dezembro de 2019, Horário 19:00 às 23:00. São Paolo, Brazil 6 days (2nd December 2019 - 18th December 2019) Stata

O curso de Análise de Dados Epidemiológicos com Stata tem como objetivo principal apresentar os conceitos avançados na elaboração e análise de dados, propiciando a elaboração de bases de dados eletrônicas e análise estatísticas descritiva e avançada.

An Introduction to Machine Learning using Stata (EST Time)

9 - 11 December 2019 New Horizons, Computer Learning Centre, New York City, USA 3 days (9th December 2019 - 11th December 2019) Stata

This course is a primer to machine learning techniques using Stata. Stata owns today various packages to perform machine learning which are however poorly known to many Stata users. This course fills this gap by making participants familiar with (and knowledgeable of) Stata potential to draw knowledge and value form row, large, and possibly noisy data. The teaching approach will be based on the graphical language and intuition more than on algebra. The training will make use of instructional as well as real-world examples, and will balance evenly theory and practical sessions.

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