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I participated to the Applied Machine Learning Part-Time Bootcamp (online, 6-Weeks, 2 Evening sessions per week) and it was the best decision I've made by selecting this course over an MOOC at a known global provider. The curriculum was extremely comprehensive, covering everything from supervised and unsupervised learning, all the known models and their implementation, creating ML-Pipelines, cross-validation, model-tuning and even Automated ML and Explainable AI as well as model deployment in production. The lectures were 3-hours long, consisting of a theoretical part, which was presented in an effective way, always with examples, but also giving the opportunity to learn about the statistical and mathematical background of the models and their evaluation. The theoretical part was followed by first an instructor-led and then an individual or group-based live coding session with an always available teaching assistance support. The lecturer was very well prepared, an expert in the field and the course was delivered in a concise way, always focusing on the "applied" side of machine learning, giving real-world examples and also mentioning the pitfalls of productive implementation and how these problems can be tackled. The group size was around 10-12 participants, which also allowed to have limited Q&A rounds and one-to-one support during the live coding exercises. The course was a compact version of the longer ML curriculum, which is part of their Data Science Bootcamp, therefore it sure had to pack a lot of material into the 6-week long course. Therefore sometimes there were less time for individual coding than it could have been, but still it didn't impact the overall learning experience. Also with the project work, which had to be submitted at the end of the course, depending on the topic selection, a lot of the learnings could be put into practice. I would definitely recommend this course to anybody who wants to have a comprehensive overview and good implementation examples with the possibility of real practice (not just limited, guided exercises) with support from experts in the field of ML.

I've attended the Online Python Programming course at Propulsion Academy Zürich in December 2020. This was a 6-week-long part-time course, offered on two evenings every week. I've participated to one or two self-paced MOOC courses already before this course and I can tell, that this was on another level. The curriculum was comprehensive, coming from the very basics (as the audience was everyone with no prior coding knowledge) but covering everything from data types, looping, conditions, OOP and also touching base on database manipulation, APIs and basic web backend development with Flask and web scraping with Python. The Data Analysis part (numpy, pandas) was very well accentuated and covered through several lectures. The delivery of the lectures was in a very practical manner, more or less the following way: approx. 1 hour instructor-led live coding and 2 hours individual exercises with a support from a teaching assistant. The lecturer was well prepared and there was a good opportunity for Q&A and individual support during the live coding sessions. The number of participants were around 10-12 people, which was a good group size. There were a lot of additional resources and material offered, which are still a good reference to lookup whenever I have to have a refresher in the field. I would definitely recommend this course as a very comprehensive introductory course in Python, also for someone who are completely knew to programming, but to have a maximal learning effect out of the course, it is best to have a very basic knowledge in either Python or another programming language.