For meeting our customers geospatial needs, we have partnered with Esri India Technologies Ltd., the leading Geographic Information Systems (GIS) software and solutions provider.
We are authorised Business Partners of Esri India for providing our customers
advanced machine-learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications. Its ease of use, flexibility and scalability make IBM SPSS accessible to users with all skill levels and outfits projects of all sizes and complexity to help you and your organization to find new opportunities, improve efficiency and minimize risk.
We are authorised Business Partners of Esri India for providing our customers
advanced machine-learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications. Its ease of use, flexibility and scalability make IBM SPSS accessible to users with all skill levels and outfits projects of all sizes and complexity to help you and your organization to find new opportunities, improve efficiency and minimize risk.
We are authorised Business Partners of Esri India for providing our customers
advanced machine-learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications. Its ease of use, flexibility and scalability make IBM SPSS accessible to users with all skill levels and outfits projects of all sizes and complexity to help you and your organization to find new opportunities, improve efficiency and minimize risk.
We are authorised Business Partners of Esri India for providing our customers
advanced machine-learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications. Its ease of use, flexibility and scalability make IBM SPSS accessible to users with all skill levels and outfits projects of all sizes and complexity to help you and your organization to find new opportunities, improve efficiency and minimize risk.
Live Stata webinar from the UK
An Introduction to Stata 18
About the Webinar
We're delighted to be able to offer this one - hour webinar led by Vincent O'Sullivan of the University of Limerick.
Stata 18 was released back in April and this Webinar will introduce three popular new features: Tables of descriptive statistics, Wild-Cluster Bootstrap and Heterogeneous difference - in - differences.
Join us for the webinar introducing Stata. In this one-hour webinar, we will take you on a tour of Stata. By the end of the webinar, all participants will have a clear understanding of these three new features.
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We can't wait for you to get started with Stata and to see where you take it!
Join us for this one-hour webinar, and learn how you can make your interactions with Stata more efficient and more effective.
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How to Join
The webinar is free, but you must register to attend. Registrations are limited so register soon, latest by end of day tomorrow, January 10.
You will receive an email prior to the start with instructions on how to access the webinar.
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Webinar: An introduction to Stata 18
Thursday, January 11, 2024
7.30pm to 8.30pm IST
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Biography
Dr. Vincent O'Sullivan is an Associate Professor of Economics in the Department of Economics, Kemmy Business School, University of Limerick. From 2014 to 2021, he was a lecturer in Economics at Lancaster University where he mostly taught health economics. Between 2010 and 2014, he was a research fellow at The Irish Longitudinal Study on Ageing. His main strand of research examines the effect of environment, policy, and behaviours on the well-being of older people. Another strand of research, arising from his PhD, examines the determinates of educational outcomes. His research has featured in print and broadcast media in major outlets such as the BBC and The New York Times. At University of Limerick, Vincent is module convener and lecturer for EC4044 Applied Economic Analysis for undergraduates and EC6062 Applied Econometric Analysis for postgraduate students. Since 2019, he has been a Fellow of Advance HE (FHEA), formerly known as the UK Higher Education Academy. His research interests include Empirical Microeconomics, Health Economics, Labour Economics, Economics of Education.
