Master in Digital Transformation and Data Analytics

Online Training

Master in Digital Transformation and Data Analytics

Name: Master in Digital Transformation and Data Analytics en Ecuador
Brand: INESEM - INSTITUTO EUROPEO DE ESTUDIOS EMPRESARIALES
SKU: 172458-2506
Availability: InStock

icon-image--AbjlOSDZzVEJNY0s3S__icon_7yVPEV

1500 hours

icon-image--AcnI1bkFZTjZZaTE3U__icon_xJgfxr

icon-image--AWUI0N2tWMzVrNzMzT__icon_DgE8xz

Spanish

The objective of any company is to be a leader in its sector and to be able to differentiate itself from other competitors. To achieve this goal, Big Data and Business Intelligence are key elements. Thanks to this Master of Continuing Training in Business Intelligence and Big Data you will learn the fundamental aspects of these technologies, being able to analyze data from a multitude of sources that allow you to make strategic decisions quickly and efficiently. You will use tools such as Hadoop, Weka, Tableau, PowerBI or Google Analytics and programming languages such as Python and R to analyze and visualize information. You will have a team of professionals specialized in the matter. Furthermore, thanks to guaranteed internships, you will be able to access a rapidly expanding labor market.

Instituciones educativas

$2,275

Request information

I'm interested I'm interested

I'm interested

Details to take into account

icon-image--AUzhDQ3dCN3hXZ1RaS__icon_p9pcRc

Multilingual support

icon-image--AQVZldVUybkd2c2xSS__icon_ptJqNh

Digital certificate included

icon-image--AV0haRDQrMjBZRURoV__icon_zyt3R8

Assistant Phia

Objectives

- Understand why Big Data and Business Intelligence is key to the digital transformation of a company. - Know the role of Big Data as a source of information for strategic decision making. - Apply the main Data mining and data analysis techniques. - Use tools such as Hadoop, Weka, MongoDB or MySQL to store, manage and analyze data. - Program in Python and R languages aimed at data analysis and visualization. - Learn how to create professional data visualizations with Tableau, Qlikview or PowerBI. - Analyze relevant web data through the use of Google Analytics.

Content

Career opportunities

Any company seeks to differentiate itself from other competitors and obtain a competitive advantage by making strategic decisions based on great data analysis. Thanks to this Master of Lifelong Training in Business Intelligence and Big Data you will apply for positions such as Data Analyst, Business Intelligence Expert, Big Data Engineer, Visual Analyst or Data Scientist.

What it prepares you for

Thanks to this Master of Continuing Training in Business Intelligence and Big Data you will learn the fundamental aspects of these technologies, being able to analyze data from a multitude of sources that allow you to make strategic decisions quickly and efficiently. You will use tools such as Hadoop, Weka, Tableau, PowerBI or Google Analytics and programming languages such as Python and R to analyze and visualize information.

This Master of Lifelong Training in Business Intelligence and Big Data is aimed at a wide variety of profiles and is applicable to any sector, since it is suitable for all those people who want to acquire knowledge about data analysis and processing technologies, especially computer profiles.

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.