Upper University Course in Data Science (University degree + 12 ECTS credits)
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Syllabus
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Summary
In today's world, the amount of data generated by organizations is growing exponentially. This avalanche of data represents a valuable opportunity to obtain information and knowledge that promotes evidence -based decision making. This course in Data Science is justified for several reasons. Data analysis has become a key discipline to extract significant information from complex and large -scale data sets. Through processing, modeling and statistical analysis techniques, data scientists can discover hidden patterns, identify trends, make predictions and make informed decisions. In addition, you will have a team of professionals specialized in the field.
Goals
Professional opportunities
To prepare you
This course in Data Science prepares you to become a professional in data analysis, capable of making intelligent decisions based on relevant information. You will learn to use Advanced Big Data tools and techniques, Machine Learning and Data Visualization. At the end, you will be prepared to apply your knowledge in the technology industry, in roles as a data scientist, data analyst or data engineer.
Who is it addressed to?
This course in Data Science is aimed at professionals and students interested in learning about data analysis and smart decision making. It is also suitable for those who wish to expand their knowledge in Big Data, Machine Learning and data visualization. Previous knowledge in the field is not required, but it is recommended to have certain notions.
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
Higher University Course degree in Data Science with 300 hours and 12 ECTS credits from the Catholic University of Murcia
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