Courses

Currently, all of our training courses are being held online.

All of our courses are hosted by expert certified trainers and research professionals who teach through a mix of demonstrative and practical sessions to provide high-class, practical training.

You can register for our courses online. To discuss any of our courses or specific training requirements, please call

+44 (0) 20 8697 3377 .

Panel Data Analysis with Stata

5 - 6th June (10-12 & 2-4pm GMT) Online 2 days (5th June 2020 - 6th June 2020) Stata

Presented By: Dr. Malvina Marchese (CASS Business School, University of London)

This comprehensive webinar is hosted through Zoom and runs over a total of 9 hours, with 4 hours each day (2 in the morning and 2 in the afternoon) with an extra Q&A session on the last day.

Each session briefly introduces the different methodologies, discussing strengths and weaknesses with a focus on the interpretation of the results. Hands-on sessions with many practical examples and exercises to discuss the different methodologies on panel data analysis.

Advances in causal inference and program evaluation using Stata

28-29 May 2020 (10-12 & 2-4pm GMT) Online 2 days (28th May 2020 - 29th May 2020) Stata

Presented By: Dr. Giovanni Cerulli, IRCrES-CNR

This course is for professionals and researchers from all academic disciplines who wish to improve their use of 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.

An Introduction to Machine Learning using Stata, Co-Developed with Lancaster University

1 - 3 June 2020 Online 2 days (1st June 2020 - 2nd June 2020) Stata

Presented By: Giovanni Cerulli (IRCrES-CNR)

Recent years have witnessed an unprecedented availability of information on social, economic, and health-related phenomena. Researchers, practitioners, and policymakers have nowadays access to huge datasets (the so-called “Big Data”) on people, companies and institutions, web and mobile devices, satellites, etc., at increasing speed and detail.

Introduction to Health and Social Research with Stata

8-9 June 2020 (10-12 & 2-4pm GMT) Online 2 days (8th June 2020 - 9th June 2020) Stata

Presented By: Dr. Vincent O’Sullivan (Lancaster University)

This comprehensive webinar is hosted through Zoom and runs over a total of 9 hours, with 4 hours each day (2 in the morning and 2 in the afternoon) with an extra Q&A session on the second day.

This course is for professionals and researchers from all academic disciplines who are new to Stata, assuming only limited statistical knowledge and experience of using statistical software.

Machine Learning for Economists and Policy Makers: Prediction, Classification and Causal Effects

Part 1 - 11 & 12 June; Part 2 - 25 & 26 June 2020 Online 4 days (11th June 2020 - 26th June 2020) Stata

Presented By: Dr. Melvyn Weeks (University of Cambridge)

The course has been adapted to be delivered interactively and online. The course is made up of two-parts, with each part being delivered over two-consecutive days. The course covers topics at the intersection of machine learning and econometrics with a mix of theory and applications. Using Breiman’s (2001) notion of two cultures in the use of statistical modelling, we start with a review of the fundamental differences between machine learning and econometrics.

Time Series Analysis & Modelling Using Stata

11 - 12 June 2020 TBC 2 days (11th June 2020 - 12th June 2020) Stata

Presented By: Dr George Naufal (Public Policy Research Institute (PPRI), Texas A&M University)

Time series data are nowadays collected for several phenomena in social and empirical sciences. Initially collected at year or quarter level, time series data are now used by marketing analytics, financial technology, and other fields in which data are collected at much smaller intervals (daily, hourly and even by the minute). This course focuses on the fundamental concepts required for the analysis, modelling and forecasting of time series data and provides an introduction to the theoretical foundation of time series models alongside a practical guide to the use of time series analysis techniques implemented in Stata 15. The course is based on the textbook by S. Boffelli and G. Urga (2016), Financial Econometrics Using Stata, Stata Press Publication.

Stata Programming: Introduction and Advanced

Part 1 - 15 & 16 June; Part 2 - 17 & 18 June 2020 Online 4 days (15th June 2020 - 18th June 2020) Stata

Presented by Prof. Christopher F Baum, Boston College, USA and Dr. Malvina Marchese, Cass Business School, London

This course is taught in two sections. The first, is for Stata users–professionals and researchers from all academic disciplines–who would like to use Stata programming techniques to enhance the efficiency and reliability of their research. The course assumes familiarity with Stata’s command-line interface and the use of do-files and log files to produce reproducible results. The participants will learn how to use do-file programming techniques effectively, including topics such as local and global macros, r-returns and e-returns, implicit and explicit loops and debugging techniques.

The second, is for users who have completed the companion course Introduction to Stata Programming and would like to use more advanced features of the Stata and Mata programming languages. The course assumes familiarity with Stata’s command-line interface and the use of do-files and log files to produce reproducible results. The participants will learn how to implement new Stata commands with ado-files and egen functions. Mata programming techniques will illustrate how this language can be used to simplify and accelerate computations.

Stata Programming Workshop

15 - 17 June 2020 New Horizons, Computer Learning Centre, New York City, USA 3 days (15th June 2020 - 17th June 2020) Stata

Presented By: Professor Christopher F. Baum

Stata Programming Workshop is an opportunity for graduate students, academics, researchers and professionals to expand their knowledge of Stata. This 3-day course introduces programming skills to those who have never written a program in Stata.

Time series Analysis with Stata

22 - 23 June 2020 Online 2 days (22nd June 2020 - 23rd June 2020) Stata

The aim of this course is to provide participants with an in-depth understanding of the fundamental concepts of time series modelling and forecasting and with the practical skills to use Stata to model and forecast economic time series. By the end of this course participants will know how to

2020 Stata Econometrics Summer School

29 June - 1 July 2020 Lisbon School of Economics & Management 3 days (29th June 2020 - 1st July 2020) Stata

Presented By: Pierre Hoonhout (School of Economics and Management, University of Lisbon)

The Summer School aims to provide the full set of tools and techniques that any modern applied economist needs to know, and how to apply them using Stata. The Summer School is suitable for Academic Staff, Masters/PhD students and professionals that need to analyse data. The course will be taught in English.

French Stata Summer School: Time Series Forecasting and Machine Learning

29-30 June 2020 Online 2 days (29th June 2020 - 30th June 2020) Stata

Presented By: Laurent Ferrara (Skema Business School) & Matteo Mogliani (Banque de France)

Forecasting in a time-series framework arises numerous issues, such as the choice of the model, the variables to be used, and the appropriate testing strategy. Recently, the collection and the availability of high-dimensional data has been posing new challenges to applied economists that classic regression approaches cannot address.

This course is designed to cover the basic topics in macroeconomic forecasting as well as advanced topics in Machine Learning for time-series analysis.

2020 Stata Summer School

13 - 18 July 2020 Online 6 days (13th July 2020 - 18th July 2020) Stata

Our Stata Summer school provides a very popular and flexible course framework allowing cost-effective attendance at any course separately, or the entire school. This is a great opportunity for students, academics and professionals to expand their econometrics skills and learn how they can apply econometrics and statistics from professionals pioneering research at the forefront of their specialist fields.

For the first time, we will be running our Summer school entirely online, so you can join from the comfort of your home, anywhere in the world.

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