Upper University Course in preprocessing and data analysis (university degree + 8 ECTS credits)
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Syllabus
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Summary
One of the decisive aspects when carrying out any Data Science project are the data. On many occasions, these data do not receive the attention they really need and we find incomplete, duplicate and, ultimately quality data. It is very important to have quality data since these are the basis of the process and without them any data science project can get ahead. This course in preprocessing and data analysis prepares you at all stages where the data intervenes. From the collection of these from databases (relational and non -relational) through the processing bases to improve the quality of these, the analysis using Python and R and ending with the report of the final results.
Goals
Professional opportunities
To prepare you
This online course in preprocessing and data analysis prepares you to develop at all stages of a data science project where the data is involved. With him, you will learn the bases of programming in Python and R, how to handle the data stored in relational bases and NOSQL, what packages they help us with the analysis of the data and finally how to present the results obtained.
Who is it addressed to?
The course in preprocessing and data analysis is aimed at anyone interested in entering the world of science and data analytics. This course is also very useful for professionals who wish to enter the preprocessing and analysis of data, continue training or updating their knowledge in this area
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
University Higher University Course degree in preprocessing and data analysis with 200 hours and 8 ECTS credits from the Catholic University of Murcia
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