Gades Training presents Econometrics and Statistics Using R. This training will provide a full set of tools and techniques that any modern applied researcher needs to know. Participants will learn the fundamental principles of modern statistics, econometrics, time series and forecasting, and will also learn how to apply the techniques properly using R software.
toc Expectations and Objectives
The objective of this course is to teach how to program R and how to use R for successful data analysis.
This course covers main practical aspects in statistical computing including R data structures, accessing R packages, load/save/edit data in R, writing R functions, organizing R code and programming in R among others.
This program is ideal for academic Staff, Masters / PhD students and professionals that need to analyse data regularly. This course will help you to expand your statistical and programming skills using R software.
Introduction to R
- Introduction: The Fundamentals of R programming language
- Control Structures: conditionals and loops
- Data management and visualization
In-person instruction with hands-on R practice. The course will be taught in English.
Ratio: 30% Theory and 70% Practice
Materials used: R software (free).
- Only basic quantitative insight is required.
picture_in_picture Technological Resources
For this course will be used the statistical software R (freely downloadable from https://www.r-project.org/)
Our programs will put you in the lead of scientific knowledge and the latest tools used in statistics and econometrics.
Complete 5 R Saturdays to be an R certified professional. To get this certification, you’ll have to pass on our final exam. If you don’t submit to exam, you will receive a certificate of participation.
Currently Associate Professor at the Lisbon School of Economics and Management (ISEG). He obtained his master’s degree in statistics at the University of Amsterdam and his PhD in econometrics at University College London. He has taught undergraduate, masters and PhD courses in statistics and econometrics at the Vrije Universiteit Amsterdam, University College London and the London School of Economics.
His publications include articles in Health Economics and Journal of Business & Economic Statistics. He is an experienced consultant, with clients including the Ministry of Finance, Toronto, CA and the Institute for Fiscal Studies in London, UK.
Master in Econometrics and currently a PhD candidate in Applied Mathematics at the University of Lisbon.
His work has been published in the Statistics and Probability Letters. Additionally, he is a lecturer of statistics and econometrics courses at Lisbon School of Economics and Management (University of Lisbon) and the Information Management School (Nova University of Lisbon).