Master in Data Science + 60 ECTS Credits Master in Data Science + 60 ECTS Credits

Online Training

Master in Data Science + 60 ECTS Credits

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1500 hours

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60 ECTS

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Spanish

In a world increasingly driven by data, the Master in Data Science + 60 ECTS Credits is presented as an unparalleled opportunity to enter one of the sectors with the greatest growth and labor demand. Data science is not only transforming the way businesses make decisions, it is also redefining entire industries through the use of advanced technologies such as Machine Learning, Python, and data analytics. This course is designed to provide you with the necessary skills that will make you an expert capable of effectively extracting, processing and visualizing data. You will learn to use essential tools such as SPSS and Tableau, and you will immerse yourself in the world of Big Data and artificial intelligence. By opting for this training, you will be able to stand out in the labor market, accessing highly valued and well-paid positions. Take the first step towards a promising future and join this digital revolution!

Instituciones educativas

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$3,382

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Details to take into account

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Multilingual support

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Digital certificate included

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Assistant Phia

Objectives

- Develop skills in applied statistics for data analysis using SPSS - Understand and apply regression and correlation models in quantitative studies - Implement data analysis solutions with Python and specialized libraries - Create and manage relational and NoSQL databases for data science projects - Design effective data visualizations with tools such as Tableau and PowerBI - Master machine learning techniques to classify and group data effectively - Evaluate ethical and legal aspects in the practice of data science and its application

Content

Career opportunities

- Data scientist in technology companies - Data analyst in consultancies - Machine learning engineer - Data visualization specialist - Software developer specialized in Python - Expert in data mining and Big Data - Artificial intelligence consultant - Responsible for ethics and data protection in technological projects

What it prepares you for

The Master in Data Science prepares you to become an expert in data analysis and management, allowing you to master SQL for advanced queries and use Python and R for processing large volumes of data. You will learn to design NoSQL databases, apply machine learning techniques, and use tools like Power BI and Tableau to effectively visualize data. Additionally, you will develop data-based decision-making skills, enhancing your ability to solve complex problems in professional environments.

Addressed to

The Master in Data Science + 60 ECTS Credits is aimed at professionals in the technological and scientific fields who wish to delve deeper into data analysis, learn advanced machine learning techniques and master tools such as Python, R, Tableau and Power BI. Ideal for those looking to boost their career by acquiring skills in artificial intelligence and big data.

Methodology

With our online learning methodology, the student begins his journey through a virtual campus designed exclusively to develop the training itinerary with the aim of improving his professional profile. The student must advance autonomously throughout the different teaching units as well as carry out the corresponding activities and self-assessments.
The load of hours of the training action includes the different activities that the student carries out throughout their itinerary. The hours of telelearning carried out on the Virtual Campus are complemented by the student's autonomous work, communication with the teacher, complementary activities and readings, and the research and creation work associated with the projects.
To obtain the degree, the student must pass all self-assessments and exams and view at least 75% of the contents of the platform. The Final Project is carried out after finishing the theoretical-practical content on Campus. Finally, it is necessary to notify the completion of the Master from the platform to begin the issuance of the degree.

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