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Data scientists are expected to have multidisciplinary skills in mathematics, statistics, programming, machine learning, data visualization and other areas. Adopting a data science technology stack is no easy task. It’s a challenge. A complex, ever-evolving challenge. Every engineer looking to move into data science will ask themselves these questions: how and where to start, and what technologies to learn/use. Here are some answers. This presentation will give you the opportunity to meet young engineers from Comtrade, and see how they extended their skills and applied their academic knowledge to real-life cases - from data acquisition and transformation to presentation and predictive analytics. This talk was presented by Mr. Nikola Radojkovic, DWH-BI Consultant at Comtrade System Integration, Mr. Stefan Pavlovic, Associate Business Consultant at Comtrade System Integration and Mrs. Sonja Jovanovic, Associate Business Consultant at Comtrade System Integration, during Data Science Conference 4.0, as a part of Data Science Education track. You can find this talk presentation on the following link: https://www.slideshare.net/Insitute_o... More info about Data Science Conference: Website: http://datasciconference.com Instagram: / datasciconf Facebook: / datasciconference Twitter: / datasciconf Flickr: https://www.flickr.com/photos/data-sc... To watch more new videos regarding Data Science - click subscribe to our YouTube Channel.