University Microcredential of Statistical Techniques + 3 Credits

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University Microcredential of Statistical Techniques + 3 Credits

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$89,00
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135 hours

Duration

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  • Spanish

Language

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3 CR

Credits

Agenda

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Specialized teaching staff

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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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Microcredentials

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Frequently asked questions

Description

The Statistical Techniques Microcredential allows you to enter the fascinating world of data, a booming sector with growing job demand. In an environment where information is power, this course offers you the necessary tools to master statistical analysis. You will learn to use measures of central tendency, perform joint analysis of variables, and work with probability distributions. Additionally, you will delve into inferential and descriptive statistics, understanding how probabilistic sampling designs and sampling distributions can transform data into knowledge. Hypothesis testing and variance analysis will provide you with a solid basis for making informed decisions. With an online methodology, this course adapts to your pace of life, giving you the flexibility to learn from anywhere. Increase your skills in an essential field for the future, and stand out in a market that values ​​the ability to interpret and apply data effectively.

Job opportunities

- Data analyst for technology and financial companies. - Statistical consultant in research projects. - Specialist in market analysis for marketing companies. - Advisor on sample design for opinion studies. - Responsible for quality control in industrial sectors. - Risk analyst in insurance companies. - Researcher in academic and scientific institutions.

What does it prepare you for?

This course prepares you to apply advanced statistical techniques in your professional field. Upon completing it, you will be able to interpret data using measures of central tendency and position, as well as perform joint analysis of variables. You will learn to handle probability distributions and apply descriptive and inferential statistics. Additionally, you will master probabilistic sample designs and hypothesis testing, which will allow you to perform variance analysis in your projects, increasing your ability to make informed decisions based on data.

Who is it addressed to?

This course is intended for professionals and graduates in the sector who wish to expand or update their knowledge in statistical techniques. You will learn about measures of central tendency, variable analysis, probability distributions, inferential statistics and hypothesis testing, thus perfecting your data analysis skills.

Objectives

- Identify basic statistics concepts to apply them in real situations. - Calculate measures of central tendency to summarize data sets. - Apply joint analysis techniques of variables to identify relationships. - Use probability distributions to predict future events. - Implement inferential statistical methods to make informed decisions. - Design probabilistic sampling to obtain representative data. - Evaluate statistical hypotheses through adequate and reliable contrasts.

University Microcredential of Statistical Techniques + 3 Credits

$89,00