Course in Preprocessing and Data Analysis + 8 ECTS Credits

UNIVERSITY COURSE 100% On-line

Course in Preprocessing and Data Analysis + 8 ECTS Credits

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$303.00
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Duration

200 hours

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Credits

8 ECTS

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Language

Spanish

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At the end of the course, you will obtain the accredited qualification

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Course Qualification in Preprocessing and Data Analysis with 200 hours and 8 ECTS issued by UTAMED-Atlantic Mediterranean Technological University.

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Learn from the best in your sector

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carlos alvarez gonzález

Technical Engineer in Computer Science and teacher in ICT skills, with extensive experience in technical support, implementation of ERP systems and technological training.

Professional experience:

More than 15 years of experience in the technological field as a consultant, analyst-programmer and ICT trainer. Specialized in implementation and support of ERP systems (SAGE), training in digital skills and maintenance of computer systems. Recent experience as a teacher in ICT skills in training projects of the Junta de Andalucía, accumulating more than 600 hours of face-to-face training.

Professional skills:

ERP systems and technical support (SAGE), Training in ICT skills, Computer programming, analysis and maintenance, Quality management (UNE-EN-ISO 9001).

Technical Engineer in Computer Science and teacher in ICT skills, with extensive experience in technical support, implementation of ERP systems and technological training.

Professional experience:

More than 15 years of experience in the technological field as a consultant, analyst-programmer and ICT trainer. Specialized in implementation and support of ERP systems (SAGE), training in digital skills and maintenance of computer systems. Recent experience as a teacher in ICT skills in training projects of the Junta de Andalucía, accumulating more than 600 hours of face-to-face training.

Professional skills:

ERP systems and technical support (SAGE), Training in ICT skills, Computer programming, analysis and maintenance, Quality management (UNE-EN-ISO 9001).

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Course information

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Course information

Description
One of the decisive aspects when carrying out any data science project is the data. On many occasions, this data does not receive the attention it really needs and we find data that is incomplete, duplicated and, ultimately, of poor quality. It is very important to have quality data since these are the basis of the process and without them no data science project can move forward. This course in data preprocessing and analysis prepares you in all stages where data is involved. From the collection of these from databases (relational and non-relational) through the bases of processing to improve their quality, the analysis using Python and R and ending with the reporting of the final results.

Job opportunities

By completing this Course in Data Preprocessing and Analysis you will develop your professional career in the field of data science in general. Specifically, this course will prepare you to perform two of the fundamental functions in any project: data analyst and data preprocessing expert.

What does it prepare you for?

This online course in data preprocessing and analysis prepares you to navigate all stages of a data science project where data is involved. With it, you will learn the basics of programming in Python and R, how to manage the data that is stored in relational and NoSQL databases, what packages help us with data analysis and finally how to present the results obtained.

Who is it addressed to?

The course in data preprocessing and analysis is aimed at anyone interested in entering the world of data science and analytics. This course is also very useful for professionals who wish to introduce themselves to data preprocessing and analysis, continue training or update their knowledge in this area.

Objectives

-Know what data science is. -Introduce the Python and R programming languages. -Know relational and non-relational databases. -Data collection, preprocessing and analysis. -Presentation of results.

Course in Preprocessing and Data Analysis + 8 ECTS Credits

$303.00

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