Diploma in Data Science

DIPLOMA 100% On-line

Diploma in Data Science

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$426.00
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Duration

130 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

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

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boosting learning

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millions of students around the world

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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).

Diploma in Data Science

Información adicional del DIPLOMA

Diploma in Data Science

3 months de tutorización

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Course information

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Course information

Description

Thanks to this Diploma in Data Science you will have in-depth knowledge from the fundamentals of Data Science to the practical application of key tools. The focus on relational databases and NoSQL, along with data analysis in Python and R, provides a balanced view. The inclusion of MongoDB and the use of programming languages ​​such as Python and R reinforces the practical applicability. In addition, attention to preprocessing and data processing with emphasis on ETL (Extract, Transform and Load) and hypothesis testing will prepare you well for the challenges in your Data Science projects. In addition, you will have a teaching team specialized in the subject.

Job opportunities

With this Diploma in Data Science you will be able to apply for roles such as data scientist, data analyst, data engineer, database developer, among others. Companies are looking for professionals capable of managing large sets of data and translating them into meaningful information for making strategic decisions within these companies.

What does it prepare you for?

This Diploma in Data Science prepares you to excel in the field of Data Science, providing skills in relational and NoSQL databases, data analysis with Python and R, and advanced processing and preprocessing techniques with ETL. Upon completion, you will be equipped and confident to take on the Data Science challenges that arise in your career.

Who is it addressed to?

This Diploma in Data Science is designed for IT students and professionals, developers, data analysts and anyone interested in the field of Data Science. No prior knowledge is required, making it accessible for beginners, but also valuable for those looking to improve their skills.

Objectives

- Understand the fundamentals of Data Science and the essential tools. - Delve into relational databases, addressing models, keys, and indexes. - Explore NoSQL databases, comparing with relationships and applying the CAP theorem. - Gain practical skills with MongoDB, from installation to advanced queries. - Apply Python for data analysis and understand its integration with MongoDB and Hadoop. - Master R as a tool for Big Data, exploring data types and predictive statistics. - Assimilate preprocessing and data processing techniques, including ETL and hypothesis testing.

Diploma in Data Science

$426.00