Área: Estatística | Econometria
Data: 18 Mai

Introduction to R   

Introduction to R

toc  Course Overview
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.

supervisor_account  Target
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.

assignment  Agenda
Introduction to R
  • - Introduction: The Fundamentals of R programming language
  • - Control Structures: conditionals and loops
  • - Functions
  • - Data management and visualization

settings  Methodology
In-person instruction with hands-on R practice. The course will be taught in English.

Format: Presential
Ratio: 30% Theory and 70% Practice
Materials used: R software (free).

spellcheck  Prerequisites
  • - 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/)

    spellcheck  Evaluation
    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.

    query_builder  Schedule
    Date: 18 Mai
    Duration: 7h
    Schedule: 9h30 – 13h00 / 14h00 – 17h30

    language  Location

    euro_symbol  Price
    Academic: 220 € | Student: 220 € | Commercial: 325 €

    perm_identity  Trainers
    Pierre Hoonhout
    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. 

    Bruno Damásio
    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).

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