R Sequel for Researchers, Programmers & Data Analysts
Complete Packages from Beginner to Developer levels
Intensive Series of Online Workshops
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Please read the workshops guidelines below
Comprehensive series of workshops that provide fully-fledged training for researchers, data analysts and programmers with R language.
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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
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
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 Fill the registration form and chose which one of the four workshops you want to attend first. The minimum number to organize each workshop is 7 participants. You will receive your payment link and electronic invoice at your email.
Second Step 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 Await the confirmation email for more details about timing, login details, material, etc.
Do you have any questions?
Contact us at events@ms-researchhub.com
Chat with us during our working hours Monday-Friday 9 AM-4 PM,
Call us at +49 (0) 56149941680,
WhatsApp us at +49 017686387586
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