Applied Mathematics and Statistics Course for Data Analysis

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Applied Mathematics and Statistics Course for Data Analysis

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$427.00
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Duration

200 hours

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Credits

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Language

Spanish

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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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Applied Mathematics and Statistics Course for Data Analysis

Información adicional del Online COURSE

Applied Mathematics and Statistics Course for Data Analysis

6 months de tutorización

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Course information

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Course information

Description
The Applied Mathematics and Statistics for Data Analysis Course is an intermediate specialization for professionals in the data sector who seek to strengthen their analytical competence. In an environment where data analysis is essential, this program is designed to update and specialize your skills. You will explore everything from fundamental concepts to advanced predictive modeling techniques, essential for any professional who handles large volumes of information. With a clear and progressive structure, you will address basic statistics, master regression and classification models, and specialize in the study of clusters and time series. You will learn to unravel complex patterns, predict future trends, and make informed decisions with a solid foundation. By using R, a powerful and versatile tool in statistical analysis, you will become familiar with relevant practices for varied scenarios, gaining a robust analytical perspective highly valued in the data science sector. Training aimed at practical application, designed for professionals who want to update their skills and contribute greater technical value to their projects.

Job opportunities

In the data analysis sector, this specialization will position you for high-demand roles. You will consolidate your profile as a Senior Data Analyst, improving your ability to interpret complex information and generate strategic insights using advanced tools. You will be able to assume greater responsibilities as a Data Scientist in model development teams, applying predictive modeling and classification techniques to optimize processes. Additionally, you will strengthen your performance as a Market Researcher or Quantitative Analyst, handling cluster analysis and time series to discover hidden patterns and inform decisions. This training will allow you to tackle larger projects in consulting firms, R&D departments or technology companies, optimizing strategic decision making and contributing significantly to organizational success.

What does it prepare you for?

This program equips you with the skills to apply essential statistical and mathematical methods, optimizing data analysis and visualization using R. You will develop the ability to build and evaluate regression and classification models, essential for predicting numerical and categorical variables. In addition, you will use advanced techniques to reduce the dimensionality of large data sets, using Principal Component Analysis. You will learn to identify patterns in clustered data and study time series, applying smoothing and decomposition methods for prediction. With these skills, you will interpret large volumes of information, unravel trends and base your professional decisions with analytical rigor, improving your performance in predictive modeling projects.

Who is it addressed to?

Aimed at professionals in the data analysis, data science, research, finance or marketing sector who are looking for advanced specialization. If you currently work as a data analyst, data scientist or researcher and need to strengthen your analytical skills, this course will allow you to perfect your command of the R language for statistical analysis. You will acquire advanced predictive modeling techniques and update your skills in applied statistics to unravel complex patterns and make informed decisions, handling large volumes of information with confidence and rigor.

Objectives

• You will apply advanced statistical methodologies for the interpretation of large volumes of information. • You will master the R environment for the manipulation, analysis and visual representation of data. • You will build and evaluate regression models for the prediction of continuous variables. • You will design and implement classification models for the prediction of discrete variables. • You will manage the complexity of large data sets using dimensionality reduction techniques, such as Principal Component Analysis. • You will identify patterns and structures in unlabeled data through clustering and segmentation techniques. • You will use smoothing, decomposition and forecasting methods to study and predict temporal sequences.

Applied Mathematics and Statistics Course for Data Analysis

$427.00