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Big Data technologies are starting to enable companies/institutions to adopt them and begin to value data analysis in their daily operations through data management. Big Data focuses on the development of data software (volume), data generated in real-time and/or that needs to be processed to respond in real-time (velocity), and data with heterogeneous structure and nature. Meanwhile, Data Science focuses on the intelligent analysis of this data, designing analytical models, the mathematics for problem formulation and their coded expression for machines, and domain knowledge (knowing the functional area of the company and its applicability), which become equally fundamental.
Systems Analysts, Computer Engineers, Software Engineers, and other disciplines related to computer science.
Distance learning.
945 hours.
13 (thirteen)
Gs. 11,000,000 (Eleven million guaraníes).
https://forms.gle/a57M4LbQD7gKb1DE8
Email: postgrado.fpune@fpune.edu.py, postgrado.fpune@gmail.com
Phone: 0973548421
Module | Hourly Load |
---|---|
Big Data for Business Applications. |
55 hours |
Business Intelligence and Decision Making. |
55 hours |
Engineering and Data Science for Social Networks. |
55 hours |
Distributed Systems and Cloud Computing. |
55 hours |
Data Visualization. |
55 hours |
Data Mining and Intelligent Systems. |
55 hours |
Legal Aspects of Data Use and Security. |
55 hours |
Techniques for Information Discovery in Scientific Databases. |
55 hours |
Recommendation Systems and Decision Support. |
55 hours |
Computer Security and Cybersecurity. |
55 hours |
Epistemology of Research. |
55 hours |
Research Methodology. Thesis Workshop. |
55 hours |
Masters Final Project. |
55 hours |
Thesis. |
175 hours |
Total Hourly Load |
945 hours |