University Superior Course in Big Data, Data Science and Data Visualization (University degree + 12 ECTS credits)
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Syllabus
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Summary
To draw relevant conclusions for strategic decision making is key to the success of any company. Thanks to this course in Big Data, Data Science and data display you will manage massive information volumes through the Big Data and, thanks to the visualization tools offered by the Business Intelligence you will create reports and graphs that allow to extract quality information for strategic decision making in a company. In addition, thanks to Python and R you will program scripts that analyze data of all kinds. You can work in a personal learning environment where the student is the protagonist, endorsed by a wide group of tutors specializing in the sector.
Goals
Professional opportunities
To prepare you
Thanks to this course in Big Data, Data Science and data display you will manage massive information volumes through the Big Data and, thanks to the visualization tools offered by the Business Intelligence you will create reports and graphs that allow to extract quality information for strategic decision making in a company. In addition, thanks to Python and R you will program scripts that analyze data of all kinds.
Who is it addressed to?
The course in Big Data, Data Science and data display is oriented to data analysts who wish to specialize in the search for relevant information in massive data sets offered by Big Data and that, through different data analysis techniques, statistical programming and visualization tools, create professional reports and graphics.
Official Character
This training is not included in the scope of official regulated training (Infant Education, Primary Education, Secondary Education, Official Professional Training FP, Baccalaureate, University Degree, Official University Master and PhD). It is therefore a complementary and/or specialization training, aimed at acquiring certain skills, skills or aptitudes of a professional nature, being able to be barely as merit in workbags and/or opposition competitions, always within the complementary training section and/or continuous training being always essential to review the specific requirements of the public labor stock of the public labor stock market.
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Certification
Titling of the upper university course in Big Data, Data Science and Data Visualization with 300 hours and 12 ECTS credits for the Catholic University of Murcia
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