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University Microcredential in Non-Parametric Statistics + 3 Credits

Name: University Microcredential in Non-Parametric Statistics + 3 Credits
Brand: Unimiami eCommerce
SKU: 430398-2601
Availability: InStock

$89,00

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135 hours

Duration

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Spanish

Language

3 CR

Credits

Agenda

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Specialized teaching staff

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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Frequently asked questions

The Non-Parametric Statistics Microcredential offers you a unique opportunity to enter a field that is constantly growing and has high labor demand. In a context where data is the new oil, having skills to analyze information without relying on parametric assumptions is crucial. This course will train you to perform non-parametric statistical tests for both related and independent samples, covering everything from the origins of this discipline to the selection of appropriate tests and resampling methods. You will learn to apply this knowledge in real situations, strengthening your professional profile and expanding your opportunities in sectors such as data analysis, research and consulting. By choosing us, you benefit from flexible and accessible online training, designed to easily integrate into your daily routine. Transform your future and lead the data analysis revolution!

- Consultant in data analysis - Analyst in market studies - Specialist in biomedical research - Expert in social sciences - Advisor in research methodologies - Researcher in behavioral sciences - Analyst in technology companies - Professional in quality and continuous improvement departments - Collaborator in academic research projects

This course prepares you to address statistical problems where traditional methods are not applicable, allowing you to perform robust analyzes without assuming normal distributions. You will learn to select and apply appropriate non-parametric tests to different types of samples, whether independent or related, and to use resampling methods. Upon completion, you will be able to implement practical applications that improve data interpretation in complex situations.

The Non-Parametric Statistics Microcredential course is designed for professionals in the statistical field, researchers and science graduates who seek to delve deeper into techniques such as non-parametric tests and resampling methods. Ideal for those who want to apply these tools in practical contexts and improve their analytical capacity in studies with independent or related samples.

- Understand the historical development of non-parametric statistics. - Differentiate between tests for related and independent samples. - Identify and apply appropriate non-parametric tests to a sample. - Evaluate the relevance of non-parametric tests for K samples. - Use resampling methods for reliable statistical analysis. - Select the most appropriate non-parametric test in each situation. - Apply knowledge of non-parametric statistics in practical cases.

University Microcredential in Non-Parametric Statistics + 3 Credits

$89,00