We were using road accident data for practicals
I learned new things so that is a good point
many exercises
1. Clear theoretical explanation of concepts and alternatives to problem solving. 2. Practical examples where concepts are, and can be applied. 3. I learnt skills that I can use in my job, which will make some of my work easier 4. It will definitely bring some innovation into some of the reports I prepare for different Committees.
The fact that we had the time to cover some useful extras.
Flexibility of the trainer
I liked the excercises and how great it was to follow
Going through all the different examples and explaining each of the terms.
Interactive, well explained and not overly in-depth with each section required to cover each section
The practical demonstrations
The trainer had an excellent understanding of the subject matter, and was able to answer any questions easily and concisely.
잘 생각되고 고급 기획 자료.
Machine Translated
he is patient
his knowlede and practical exemples
A lot of knowldege - theoretical and practical
Many hands-on sessions.
Big competences of Trainer
At the end of the class, we had a great overview of the language, we were provided tools to continue learning and were provided suggestions on how to continue learning. We covered AI/ML information.
The R-programming overview training is quite intensive but Tomasz is always helpful, energetic and up to date. On top of it, he is passionate about R. I would highly recommend his R sessions to anyone interested in R.
I was benefit from the guidance and sharing life examples + answering all questions.
I really enjoyed the all the best.
The information given was interesting and the best part was towards the end when we were provided with Data from Murex and worked on Data we are familiar with and perform operations to get results.
Good detail on what R is used for and how to start using it right away
the matter was well presented and in an orderly manner.
Great knowledge of the content, good examples, great rapport with the class and very understanding if anyone needed extra help. Willing to stop and go back to explain things again and in a manner in which could be easily understood.
Ability to direct the content covered to suit individual needs
Ability to direct the content covered to suit individual needs
The number of working examples.
The number of working examples.
The theoretical explanations
Machine learning, python, data manipulation
La quantité des exercices réalisés. L'aide du formateur sur chacun des problèmes rencontrés pendant les exercices. Il nous clarifie la démarche sans donner le résultat.
Les compétences du formateur, et la bonne ambiance.
that i was getting my all answers and knowledge i want.
Weronika created a really friendly, informal atmosphere. The training involved a lot of useful knowledge transfer, technical skills exercises and theory, as well as best practices and guidance on how to handle our own data.