Diploma in Data Analysis

DIPLOMA 100% On-line

Diploma in Data Analysis

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$427.00
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Duration

130 hours

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Credits

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Language

Spanish

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No limit

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Agenda

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Credit your success

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

This is not just about learning, but also about accrediting your knowledge with the most important institutions in the sector:

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Diploma in Data Analysis issued by the Hemisferios University in collaboration with the European Institute of Business Studies (INESEM)

+20 years

boosting learning

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+2M

millions of students around the world

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Scholarships and funding

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Scholarships of up to 25%

+500

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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

Information is a key asset and data analysis is emerging as a fundamental discipline. This Diploma in Data Analysis provides a comprehensive journey from the fundamental concepts of Data Science to advanced processing and analysis techniques. With a focus on relational and NoSQL databases, it highlights the importance of tools such as MongoDB, Python and R, providing essential skills in data pre-processing, processing and analysis. The ability to make statistical inferences, model accurately, and present results effectively become key competencies to lead in making informed, data-driven decisions.

Job opportunities

Job opportunities include roles such as data analyst, data scientist, database developer, Big Data specialist, predictive analytics consultant, and more. This Diploma in Data Analysis opens doors to sectors such as technology, finance, health, marketing and any industry that demands experts in data-based decision making.

What does it prepare you for?

This Diploma in Data Analysis prepares you to face challenges in the world of data analysis, from the design of databases to the presentation of results. You will gain skills in key tools such as MongoDB, Python, and R, allowing you to make informed decisions based on data and excel in specialized roles in Data Science and Big Data that are so in demand today in the world of work.

Who is it addressed to?

This Diploma in Data Analysis is aimed at professionals and students in related areas, such as data analysts, computer engineers, data scientists, and anyone interested in acquiring advanced skills in data analysis and management that allow for an informed data decision.

Objectives

- Master the principles of Data Science and its relationship with Cloud Computing. - Understand and apply the relational model and the SQL language in relational databases. - Evaluate and appropriately select between relational and NoSQL databases according to needs. - Gain practical skills in MongoDB, from installation to advanced queries. - Use Python as a key tool in data analysis, integrating it with MongoDB and Hadoop. - Apply R to perform predictive statistical analysis and its integration with environments such as Hadoop. - Develop skills in ETL, statistical inference, regression models and effective presentation of results.

Diploma in Data Analysis

$427.00

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