Examples of training courses
Through our general beginner's training, you will learn the meaning and the difference of the common technical terms.
We show you how to capture problems and translate them into a concrete question. We also show you how to prepare data for analysis.
This is followed by the processing of the question using processed data and advanced analytics methods. The final step is the visual preparation of the results.
The training is accompanied by a selected fictitious use case in order to experience the imparted knowledge in a practical use case and to demonstrate the appropriate selection of possible tools.
Data Science Toolkit
We are technology-independent and can offer you training for beginners to expert level in the most common data science tools.
Educate yourself further in a programming language such as Python, for example. For beginners or specially adapted for users in the relevant industry.
We show you how to identify problems in your company that can be solved by an analytics team and which investments offer added value.
Together we identify relevant use cases. In this format, we have combined elements from data science training with workshop methods to give you a practical introduction to the data science project procedure.
Founder and CEO
As CEO of Germany's first data science consultancy, Alexander Thamm can already look back on an exciting career in which he has repeatedly demonstrated the ability to develop viable data solutions in a short time and to transfer them into productive mode. As an entrepreneur, data science expert, author and sought-after keynote speaker, he also has a personal mission - to develop training programmes for data experts and together bridge the digital divide.
Dr Christina Sievers
Expert in predictive analytics in the field of marketing. Has been with Alexander Thamm GmbH since 2015 and, as Managing Data Scientist, develops innovative forecasting algorithms for a wide range of industries in collaboration with her team of 15 people.
The focus here is on the development of prototypes and the optimisation of the forecasting models.
Data Science Training- diverse data - diverse possibilities
Frequently Asked Questions