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R Training Courses

Our programs will put you in the lead of scientific knowledge and the latest tools used in statistics and econometrics.

  • IN PERSON INSTRUCTION - Learn the fundamental principles of modern statistics, econometrics, time series and forecasting by applying the techniques properly using R software.
  • HANDS-ON - Our courses have a very strong practical component. Our goal is the satisfaction of our clients, especially with the acquisition of scientific knowledge so that they can apply it in a practical way in their workplace.
  • CERTIFICATION - Obtain the recognition of your knowledge with our R Practitioner Certificate.

R Practitioner Certificate

Our programs contains everything that is necessary for a practitioner to be successful and recognized in the labor market.

R Training Courses

We provide introductory and Advanced R Training Courses in Statistics, Econometrics and Forecasting.

R Practitioner Certificate

The successful data analyst has a wide range of skills, both in the form theoretical knowledge and in the form of practical skills using R.

This certificate program consists of the five courses described below. Together, these courses contain everything that is necessary for a practitioner to be well-versed in both the theory and the practice of applied research.

There is no better way to signal to the labour market that the skills required for rigorous data analysis have been attained.

The R Practitioner certificate program is ideal for anyone needs to analyse data regularly.

R Training Courses

Check out our introductory and advanced R training courses to learn modern statistics, econometrics and forecasting.

  1. Introduction to R - This course is for students, academics and professionals that want to start using R. It delivers a short and efficient one-day training. Quickly start analysing data with R now, and have the fundamentals to built upon later. Topics include: data structures in R, import/export data, contingency tables, creating graphs, programming and adding R packages.
  2. Introductory Statistics with R - This course is for students that know the basic workings of R, and that want to start analysing data. The goal of statistics is to give credible answers to interesting questions using data. The means to this end are provided by statistical hypotheses tests. The course explains the basic theory behind hypothesis tests and teaches how to apply this knowledge using R. Topics include: tests for the mean, differences in means, ANOVA, contingency tables, nonparametric tests (Kruskal-Wallis).
  3. Econometrics - Single-equation Linear Models - This course is for students that know the basic workings of R, and that want to start analysing data. Many interesting questions are of the following type: what is the effect of some variable x on some other variable y. In many cases, these type of questions can be answered using the linear regression model. The course provides a rigorous investigation of this model, that allows one to answer a wide range of interesting questions using data. Topics include: The linear regression model and Ordinary Least Squares, Endogeneity and Instrumental Variables, Two-stage Least Squares and Generalized Method of Moments.
  4. Time-Series Econometrics - Single-equation Linear Models - Careful analysis of time-series data requires additional knowledge over and above the standard linear regression model. Of prime importance is the analysis of stationarity. Using the linear regression model with non-stationary data can lead to spurious results. This course provides the necessary knowledge that is required for a successful statistical analysis of time-series data using R. Topics include: ACF/PACF, AR(p), MA(q), ARMA(p,q), unit roots and cointegration
  5. Econometrics - Single-equation Nonlinear Models - As not all questions can be answered using the linear regression model, sometimes nonlinear regression models are required. Estimation results of nonlinear models are harder to interpret. This course deals with the estimation and interpretation of the most commonly used nonlinear regression models. Topics include: ordered and unordered logit/probit models, multinomial and conditional logit models, censoring and selection models, count data models.
R training

5 day Program! R Week is organized in 5 training days that will provide you a full set of tools and techniques that any modern applied researcher needs to know.

Once a month! R Saturday is a 1-day training that will happen each month on a Saturday. Each Saturday will be a different program. Complete 5 different programs and get your R Practitioner Certificate.

R training

ECONOMETRICS AND STATISTICS

using R


10 - 14 September 2018 | 5 days | Lisbon | Portugal


Econometrics and Statistics usin R is organized in 5 training days that will provide you 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.

Tips & Tricks

Learn some tips and tricks that will help you working with R Studio like a Pro

  • Tearable Panesip - Tearable panes are anything but terrible. This feature allows users to tear off data view panes and source panes facilitating the use of multiple screens. Try it now!
  • Keyboard Shortcuts - The RStudio IDE is built upon “hooks”. Hooks are actions that the IDE can take. For instance, there is a hook to create a new file. Most users interact with hooks with point-and-click interactions. (RStudio toolbar -> new file or File -> New File). But, there is an alternative! All of these hooks have been surfaced to end users and can be bound to a keyboard shortcut. (Some of these actions are “secret” - they aren’t exposed through point-and-click options.) Try it now!

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