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Training / Short Courses

The Leuven Statistics Research Centre organizes short training courses at beginning, intermediate and advanced level, intended for professionals (internal and external) as well as (PhD) students.

You will find the course timetable for 2016 - 1017 below, with links per course for more information.

Click on the image below to view our brochure as pdf.

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Introduction

Practical matters

Short courses registration form

Important note : Staff, PhD'ers and Postdocs (with a u-number) of KU Leuven and Association KU Leuven can register directly via KU Loket.

 

Courses Timetable 2016 - 2017

  Date(s) Title Language
September 2016 27, 28, 29, 30 September 2016 Essential Tools for R English 
October 2016 3, 4 , 5 October 2016 Fundamentele statistische methoden Nederlands
  11, 18 October
9 November and 1 December 2016
Models for Longitudinal and Incomplete data (web lecture with introductory and Q&A sessions) English
  13 October 2016 Fundamentele statistische methoden, toegepast met SAS Eguide Nederlands
  17, 18 October 2016 Statistical Machine Learning in R English
  18 October 2016 Fundamentele statistische methoden, toegepast met SPSS Nederlands
  13 October 2016 Fundamental Statistical Methods, applications with R English 
  26, 27 October 2016 Regression and Analysis of Variance English
  24 and 25 October 2016 Text Mining with R English
November 2016 7 November 2016 Regressie- en variantieanalyse, toegepast met SPSS Nederlands
  14 November 2016 Regressie- en variantieanalyse, toegepast met SAS Eguide Nederlands
  15, 17 November 2016 Regression and Analysis of Variance, applications with R English
  17, 18 November 2016 Optimization and Numerical Methods in Statistics (web lecture with Q&A sessions) English
  22, 23 November 2016 Uitbreiding bij Regressie- en variantieanalyse Nederlands
  24, 25 November 2016 Introduction to Statistics with JMP English
  30 November and 2 December 2016 Logistic Regression Models with SAS, SPSS and R English
December 2016 6 December 2016 Niet-parametrische statistiek Nederlands
  8 and 9 December 2016 Applied spatial modelling with R English
February 2017 14, 21, 28 February 
14, 21, 28 March
18, 25 April
2, 9 May 2017
Experimental Design English

14, 21, 28 February
7, 14 March 2017

Nonparametric smoothing techniques and applications English
  15, 22 February
28, 15, 22 March 2017
Chemometrics English

FULL

20, 21, 22, 23 February 2017

Essential Tools for R English
  21, 22 February 2017 Advanced R  programming English
March 2017 7, 9, 10 March 2017 Cluster analysis, principal component analysis and exploratory factor analysis with SAS, SPSS and R English
9, 10 March 2017 Computer Vision with R and Python English
  14, 15, 16 March 2017 Fundamental statistical methods English
  14, 21, 28 March
18, 25 April 2017
Concepts of multilevel, longitudinal and mixed models English

FULL

23, 24 March 2017 Text Mining with R English
  28, 30 March 2017 Introduction to the analysis of contingency tables English
April 2017

25 April and
9, 18 May 2017

Survey Sampling English
3, 4 and 5 May 2017 Extremes English
May 2017 9, 10, 11 May 2017 Inleiding tot enquêtering Nederlands
29, 30, 31 May 2017 Bayesian data analysis with SAS English