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Course content

True Data Scientist solves the problem by combining the hardcore science and breakthrough data mining technologies with inexplicable art of human understanding. As a student you will take part in real projects, working with the team through all the project stages to acquire deep knowledge and master your skills in analyzing the core problems of your customer, planning and managing project resources, engineering software, collecting and processing all sorts of data, and discovering the precious insights that put the whole data puzzle together.

Key topics
Software Engineering+Business Analysis+Machine Learning=Data Scientist

Software Engineering
Data Mining Tools & Languages, Storage Technologies, Advanced Project management, Virtualization and Consolidation, Big Data in the Cloud, Programming in Scala.

Business Analysis, Business Scaling, Frontiers in Computer Science, Knowledge Management, Data Warehouse, Algorithm Analysis.

Machine Learning
Statistics & Algorithms, Machine Learning, Natural Language Processing, Artificial Intelligence, Decision-Making Theory, Signal Processing.

Each student can select a domain of his own interest. Courses specified for domains are served by companies, which have a great experience in applying data analysis technique to solve cutting edge problems:
* Bioinformatics
* Healthcare
* Social Networks
* Cognitive Data Science
* Telecommunications
* Instrumentation

Please see web link for detailed breakdown of syllabus:





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Recipient: Novosibirsk State University

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