Comprehensive series of workshops that provide fully-fledged training for researchers, data analysts and programmers with R language.

Learn online from your home. The workshop will be delivered via WebEx interface that allows the best live-learning experience ever. 

 

Structured workshops with solid contents that meet all proficiency (beginner to developer) and scope levels (statistics, econometrics, data analysis, programming and machine learning).

                                               Workshops Moderator

















                                                        Lukas Jan Stroemsdoerfer







One of the strongest data analysts and programmers in Germany. He currently works as a senior data scientist in Daimler AG (Mercedes Benz), where he develops applications and systems to automate processes and he is currently one of the academic team at M&S Research Hub. Part of his former experiences include working as a machine learning Engineer at STATWORX and lecturing graduate and undergraduate students advanced econometrics, programming and statistics classes at Marburg University.  

Lukas is a highly competent econometrician and programmer, his experiences are advanced in programming packages such as R, Python, Bash, DSS, Docker, Git and Jenkins. 




Workshop D



Advanced Programming With  R



  • Objects in R
  • Functional Programming in R
  • API Development in R
  • Package Development in R



Prerequisites:


  • Basic  practical knowledge with R

Workshop A  // 1-2 March 2020



Introduction to Econometrics with R



  • Introduction to R
  • Data in R
  • Regression Analysis in R
  • Time Series Analysis in R

    Volatility models (ARIMA and GARCH systems) and Multivariate Endogenous Models (VAR Family)

  • Panel Econometrics in R: Fixed, Random effects and Dynamic models GMM.



Prerequisites:


  • Solid theoretical knowledge of Econometrics
  • R installed and setup 

Workshop B



Advanced Econometrics with R



  • Introduction to R
  • Data in R
  • Quantile Regression in R
  • Parametrics Regressions in R

     linear regression, logistic regression, probit regression, and negative binomial regressions

  • Nonparametrics Regressions in R

    splines and kernel regressions



Prerequisites:


  • Expert theoretical knowledge of Econometrics
  • R installed and setup 

Workshop C // 10-11 March 2020



Introduction to Machine Learning with R



  • Introduction to Machine Learning
  • Data in R
  • Writing Loops in R
  • Decision Trees in R
  • Random Forest in R
  • Gradient Boosting in R



Prerequisites:


  • Basic theoretical knowledge of Machine Learning
  • R installed and setup 

First step (Getting to know your needs):    Enroll for free today and chose which one of the four workshops you want to attend first in March 2020.


Second Step (Decision taking):  We will then decide the organizational sequence of workshops, which comes first, second and so on based on the number of enrollments at every workshop. 


Third Step (Personalized Registration) : The registration price will be communicated to enrolled applicants. The registration price will vary based on the selected workshop, your location [researchers and analysts from developing countries are eligible for reduced fees], goals from attending the workshop [Job seeking, research, promotion, etc.], and group bookings [3 applicants and more from the same institute will receive 15% discount]. 

Do you have any questions?


Contact us at events@ms-researchhub.com


Chat with us during our working hours

Monday-Friday 10 AM-4 PM or Call us at +49 (0) 17686387586



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