Online R trainings by eoda: Learning data science

Unlock the potential of data science with our online R trainings and become an expert of R in September 2020! The speciality: The presence of our experienced data science trainers. Your individual questions will be answered in direct exchange – this ensures the greatest possible learning success for you. 

Key Facts  

Location: In the home office, office or from the balcony: our webinars offer you the flexibility you need in the current situation.  

Price: Per course: € 299,- | Bundle: € 499,-  

Course language: English  

Introduction to R | 07 – 08 Sep 2020 | 09:00 am to 1:00 pm  

The course is intended as an introduction to R and its basic functionalities and facilitates your entry into R with practical tips and exercises. This basic course serves as a starting point for R beginners without in-depth previous knowledge for the further use of R in individual application scenarios.  

Table of contents:  

• First steps into R  
• Concept and philosophy of R  
• Data structures and their properties  
• Importing data  
• Data management 
• Data analyses with R  
• Loops and control elements  

Machine learning with R | 14 – 15 Sep 2020 | 09:00 am to 1:00 pm  

In our course „Machine learning with R“ we give you an insight into algorithms of machine learning and show you how to develop your own models, which challenges you face and how to master them.  

Table of contents:  

• Introduction to the basic terms of machine learning  
• Introduction to machine learning algorithms such as decision trees, random forest, gradient boosting machine  
• Introduction to a methodical approach in the development of machine learning models  
• Typical steps in data preparation such as feature selection or data transformation  
• Creation of training and test data sets  
• Introduction of validation techniques such as cross-validation or bootstrapping  
• Introduction and interpretation of different metrics for measuring success, e.g.:  
  • For classifications: Accuracy, sensitivity, specificity  
  • For regression: RMSE, MAE, MAPE, …  
• Interpretation of ROC curves  
• Tuning of parameters  
• Introduction of the data mining framework caret  

You want to use the R programming language to transform data into strategic knowledge? You are looking for the optimal introduction to working with R? You would like to participate in a training that really helps you despite your home office and limited travel possibilities?  

Then we are the right contact for you.

Register for our online R trainings in September now! We look forward to seeing you (remotely).