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July 2019
Basics 1 – Predictive Models and their Validation
In this practical training course, the basics necessary for carrying out a data science project will be taught. This includes a general overview of the entire subject area to allow participants to keep track. Participants will learn to classify a specific problem into basic classes of problems, prepare data accordingly, create, optimise and evaluate predictive models using machine learning and apply the models. In the training course, the free version of RapidMiner Studio will be used to give each participant…
Find out more »September 2019
Grundlagen und fortgeschrittene Themen für Analysten inkl. Zertifizierung (Basics 1 & 2)
This training is offered by an external company and taught by us. It consists of both Basics 1 and Basics 2 and will most likely be in German.
Find out more »November 2019
Basics 1 – Predictive Models and their Validation
In this practical training course, the basics necessary for carrying out a data science project will be taught. This includes a general overview of the entire subject area to allow participants to keep track. Participants will learn to classify a specific problem into basic classes of problems, prepare data accordingly, create, optimise and evaluate predictive models using machine learning and apply the models. In the training course, the free version of RapidMiner Studio will be used to give each participant…
Find out more »March 2020
Basics 1 – Predictive Models and their Validation
In this practical training course, the basics necessary for carrying out a data science project will be taught. This includes a general overview of the entire subject area to allow participants to keep track. Participants will learn to classify a specific problem into basic classes of problems, prepare data accordingly, create, optimise and evaluate predictive models using machine learning and apply the models. In the training course, the free version of RapidMiner Studio will be used to give each participant…
Find out more »May 2020
Basics 1 – Predictive Models and their Validation
In this practical training course, the basics necessary for carrying out a data science project will be taught. This includes a general overview of the entire subject area to allow participants to keep track. Participants will learn to classify a specific problem into basic classes of problems, prepare data accordingly, create, optimise and evaluate predictive models using machine learning and apply the models. In the training course, the free version of RapidMiner Studio will be used to give each participant…
Find out more »June 2020
Grundlagen und fortgeschrittene Themen für Analysten (Basics 1 & 2)
This training is offered by an external company and taught by us. It consists of both Basics 1 and Basics 2 and will most likely be in German.
Find out more »July 2020
Basics 1 – Predictive Models and their Validation
In this practical training course, the basics necessary for carrying out a data science project will be taught. This includes a general overview of the entire subject area to allow participants to keep track. Participants will learn to classify a specific problem into basic classes of problems, prepare data accordingly, create, optimise and evaluate predictive models using machine learning and apply the models. In the training course, the free version of RapidMiner Studio will be used to give each participant…
Find out more »September 2020
Basics 1 – Predictive Models and their Validation
In this practical training course, the basics necessary for carrying out a data science project will be taught. This includes a general overview of the entire subject area to allow participants to keep track. Participants will learn to classify a specific problem into basic classes of problems, prepare data accordingly, create, optimise and evaluate predictive models using machine learning and apply the models. In the training course, the free version of RapidMiner Studio will be used to give each participant…
Find out more »November 2020
Grundlagen und fortgeschrittene Themen für Analysten (Basics 1 & 2)
This training is offered by an external company and taught by us. It consists of both Basics 1 and Basics 2 and will most likely be in German.
Find out more »Basics 1 – Predictive Models and their Validation
In this practical training course, the basics necessary for carrying out a data science project will be taught. This includes a general overview of the entire subject area to allow participants to keep track. Participants will learn to classify a specific problem into basic classes of problems, prepare data accordingly, create, optimise and evaluate predictive models using machine learning and apply the models. In the training course, the free version of RapidMiner Studio will be used to give each participant…
Find out more »