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Webinar

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Course Description

Seminar summary

With this webinar, we tried to give you a complete perspective of Big Data, its connections with IoT, and Smart cities, and from the Hadoop ecosystem (HDFS), determine the possible data analytics applications for predictive systems, using machine learning. We saw how easily ADEMA can be used to create a data analysis system and apply it for sentiment analysis to marketing or politics and finally analyze the great opportunity that it gives young people to learn Data Science since the market demand is very large so that we can encourage them to take this course and become the next Data Scientists. 


Participation Certificate

After the webinar is completed, the certificate of participation will be activated. This webinar is free of charge, however, a fee is required if you want to receive a participation certificate.


PAYMENT BY BANK TRANSFER

Apart from credit card payments, you can make your payment by transferring to the UBAN number.

Account Number: 10-304-0000134885 – NEAR EAST UNIVERSITY LTD.

Near East Bank – UBAN: CT16139050100103040000134885 It is mandatory to write your Name – Surname and E-mail address during payment by money order.

After the payment, send your receipt to info.estudybox@neu.edu.tr with your Name – Surname, and E-mail address.

Course Curriculum

1 Video - Hands on Data Science from Big Data to Machine Learning Appliances


Instructor

Prof. Dr. Estevan Gomez

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26 Students
1 Courses

Estevan Gómez is a Ph.D. (c) from the National University of La Plata in Argentina; Engineer and Master in Systems from the University of the Armed Forces of Ecuador, Principal Professor of the Ute University - in Ecuador. His main lines of research are based on the area of creating context-sensitive mobile applications, IoT, Smart Cities, and Digital Transformation. He has directed several projects of Digital Transformation and IoT, member of the Research Group of Internet of Things and Smart Cities in Ecuador. Undergraduate and postgraduate university professor for the period of 20 years, performing in the professional field various positions in private and public companies for the period of 25 years in various areas such as databases, web development, software engineering, development of mobile apps.

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Hands on Data Science from Big Data to Machine Learning Appliances

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