Big Data and Business Analytics

Structuralia
For more information about duration, please contact the institute.
Master's degree
Scholarships available
Alcobendas
Spanish

About this program

Big Data and Business Analytics

Because I am going to be able, as an expert in Big Data and Analytics, to advise companies on better decision-making after collecting, analyzing and interpreting the large amount of data they generate today.

  • Understand the technical and scientific complexity of the use of information.
  • Learn to differentiate the concepts of Big Data, Business Intelligence (BI) and the field of Analytics where everything is called "Big Data".
  • Identify business strategies and opportunities.
  • Know the technology needed to obtain data and what to do with it.
  • Differentiate the profiles of the appropriate professionals according to the needs of each organization.
  • Know the tools that we currently have on the market and which one to use in each case.
  • Technically manage BI/Big Data projects and work teams.

This program is instructed in Spanish only

Admission requirements

For more information about admission requirements, please visit the institute website.


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Program content

Introduction to Big Data

  • Data in Companies
  • From Business Intelligence to Big Data
  • Technological Architectures Big Data
  • Big Data Analytics

Tableau

  • Introduction
  • First Steps
  • Visual Analysis
  • Calculations
  • Time Series
  • Maps
  • Combination of Sources
  • Visualization Techniques
  • Dashboards
  • Debugging and Data Normalization

Relational Databases: Sql. Datawarehouse

  • First Steps in Sql Sql
  • Commands Sql
  • Functions
  • Datawarehouse Design

Python Yr

  • Data Treatment in Python
  • Structures and Functions in Python. Object-oriented Programming
  • R Data Processing
  • Advanced Structures in R

Nosql and Hdfs Databases

  • Introduction to Nosql
  • Databases Nosql Data Models
  • Distributed Databases
  • Examples of Nosql Databases

Big Data Architectures: Hadoop and Spark

  • Big Data
  • Hadoop Ecosystem 3. X
  • Programming in Scala
  • Rdd, Daraframes, Darasets and Machine Learning

Data Mining, Machine Learning and Deep Learning

  • Supervised Learning (I)
  • Supervised Learning (Ii)
  • Unsupervised Learning
  • Deep Learning

Data Management

  • Data Management
  • Planning and Design Data
  • Maintenance and Use
  • Holistic Data Management

Self-service Data Preparation. Excel, Talend and Trifacta

  • Data Preparation
  • Excel
  • Talend Data Preparation
  • Trifacta Wrangler

Scholarships & funding

Several scholarship options are available. Please visit the institute website for more information.

Tuition

Full course price: €4,490

Qualification

Credits: 60 ECTS

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About this institute

Structuralia

Structuralia is a specialized engineering, infrastructure, energy, building and new technology graduate education school with the strong conviction that continuous quality training is vital for the professional development of engineers and architects. Structuralia was founded in 2001, and since then,...


Read more about this school

Why study at Structuralia

At Structuralia, we are experts in specialized online graduate education with over 20 years of experience in training STEM professionals. Since our foundation in 2001, we have supported more than 115, 000 international students, mostly engineers, from up to 52 countries, to boost their professional careers.

We welcome students from the Caribbean region to join our community by pursuing our Master’s degrees. Our programs are fully adapted to the ever changing professional reality and demands in the fields of engineering, architecture, new technologies and digital transformation.

Contact info

Structuralia

Av. de la Industria, 4. Edificio 1, Oficina 1-B
28108 Alcobendas Madrid
Spain

 Show phone number
www.structuralia.com

Message the school

Want to know more about Big Data and Business Analytics? Fill out the following form and we'll pass your details on to a representative from the school, who will respond to your enquiry.

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