Upper University Course in preprocessing and data analysis (university degree + 8 ECTS credits)
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Temario
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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 exits
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
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.
Our methodology combines technology, pedagogy and empathy for a tailored learning.
You mark the rhythm, you decide the way and an artificial intelligence accompanies you to learn better, with meaning and purpose.
Realized personalized learning
Your style, interest and level define the route. You are the starting point.
Constructivism in action
Explore, experience and apply. Learning means understanding, not memorizing.
He who accompanies you, not who directs you
Phia, our artificial intelligence assistant guides you without limiting your autonomy.
Evaluation without pressure
Continuous and adaptive feedback. Because learning is a process, not a figure.
Certificación
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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-25%
Alumni Scholarship: For former students of Eduahub.
-20%
Unemployment scholarship: if you prove to be unemployed.
-20%
Numerous family scholarship: for families with 3 or more children.
-20%
Disability scholarship: For people with disabilities ≥33%.
-15%
Emprende Scholarship: For self -employed that accredit your activity.
-15%
Scholarship recommends: If you come recommended by an alumnus.
-15%
Group scholarship: For joint inscriptions of 3 or more people.
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