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Reviewer Name Review Body
Rodrigo da Matta I had the opportunity to participate in the full 8-weeks of Asigmo's Data Science Fellowship program and it was truly worthy. It's a full immersion on hot topics like NLP, Deep Learning, Spark, and so on. All well balanced between lectures and labs. The instructors were working professionals from whom I had a chance to understand what is expected from the job market. The peers were super friendly and in the end, we felt like a real team working on mini-projects and hackathons.
iago doel * It covers the whole process of data science, from coding and use of very specific frameworks such as deep neural networks, to business understanding, agile project organization, cloud computing, visualization and AI ethics. * The faculty, top-level professionals, deliver a state-of-the-art (like in the last-quarter innovations basis), and goal-oriented training. The latter being something one often fails to see in Academia. The theory / practice ratio is perfect in my opinion. * The candidate pre-selection renders a highly capable and compact trainee group that can endure a lot of new materials at very high speed. * Constant feed-back and interaction with the organizers. In this sense, it is very convenient for the trainees that the business model is based on our success. * The online-teaching platform (MS-teams) worked seamlessly.
Festo Owiny The program is one of a kind! The trainers are industry experts with diverse expertise. Lab sessions are uniquely organised to facilitate individual contact with trainers who are readily available for support. After the 8 weeks we've continued to work together with the fellows on projects from Asigmo. This is the best Data Science program I've undertaken, I recommend it to anyone new or advancing in Data Science.
Anonymous The trainers of the program all had deep expertise in their topics, and we were presented with state-of-the-art knowledge and developments. The program was overall a fast-track highway to data science. From the basics of Agile Development to the complexities of NLP and ML, I feel way more prepared to face the current data science landscape now than I was just a couple months ago!