CEU - Diploma in Data Analysis

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CEU - Diploma in Data Analysis

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$468.00
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Duration

150 hours

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Credits

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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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CEU Degree - Diploma in Data Analysis with 150 hours issued and endorsed by UNIMIAMI in collaboration with Euroinnova International Online Education

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boosting learning

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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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CEU - Diploma in Data Analysis

Información adicional del DIPLOMA

CEU - Diploma in Data Analysis

6 months de tutorización

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Course information

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Course information

Description
Every day the information we generate, manage, share, visualize and use is greater and, in the midst of the boom in the use of new technologies and digital transformation, this amount will become greater and greater. Currently, data is the central axis on which companies make their decisions. Therefore, knowing how to manage, analyze and process information efficiently is key to success. Thanks to this Diploma in Data Analysis you will learn to manage information using databases, both relational (MySQL) and non-relational (MongoDB), you will use ETL processes and process information thanks to the 2 most widespread programming languages for this, Python and R. In addition, you will have a team of professionals specialized in the matter.

Job opportunities

Thanks to this Diploma in Data Analysis you will be able to enter a world of work with high demand and very well paid since knowing how to analyze data is key for any company. Therefore, you will apply for positions as interesting as Data Scientist, Data Analyst, Python Programmer, Expert in statistical analysis with R or Database Manager.

What does it prepare you for?

Data is the central axis on which to make decisions. Knowing how to manage, analyze and process information is key to success. Thanks to this Diploma in Data Analysis you will learn to manage information using databases, both relational (MySQL) and non-relational (MongoDB), you will use ETL processes and process information thanks to the 2 most widespread programming languages ​​for this, Python and R.

Who is it addressed to?

This Diploma in Data Analysis is designed for computer, statistician, administrative or general professionals who work with data and who are looking for updated training on the main database management systems to manage it and on the most used languages ​​to analyze it, Python and R.

Objectives

- Know data science and what tools are necessary for a data scientist. - Manage relational databases thanks to the SQL query language and more specifically MySQL. - Use MongoDB as a non-relational database management system (NoSQL). - Analyze data thanks to the Python programming language and its different libraries. - See how R allows you to analyze statistical information and its use for Big Data. - Pre-process and process data using ETL processes and different regression techniques. - Understand the importance of data analysis for business and a good presentation of results.

CEU - Diploma in Data Analysis

$468.00