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Big Data & Analytics

expert

This course is structured in four parts. In the first part, theoretical fundaments of big data and their relation with previously-common concepts is described, along with the uses and added value that can be provided by it. The second section describes some of the most extended technologies currently used in big data, along with their features and comparative work. In the third section, the student will learn how to use big data and how to apply its advantages to the real world. The fourth section describes a related technology, more advanced, known as Analytics, that is seen as a next evolutionary step once big data skills are controlled.

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INDRA

INDRA

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This course is part of Specialization Telecommunication and Data

Score and Badges

1650 points

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Knowledge

- Learn the fundaments of Big Data, in particular the mathematics behind it.
- Learn about the use cases of and added value generated by Big Data.


Skills

- Differentiate between the technologies used in Big Data and its features.
- Learn how to manage a Big Data environment.


Competences

- Learn how to use Big Data to reach useful conclusions.
- Program in Big Data.
- Learn basic competences on analytics, machine learning and related technologies.

Course Content

  • 1# Big Data Theory
    • 1.1 Big data fundamentals
    • 1.2 Big data platform
    • 1.3 Big data methodology
    • 1.4 Use cases and added value
  • 2# Big Data Technologies
    • 2.1 Big Data Technologies I
    • 2.2 Big Data Technologies II
  • 3# Using Big Data
    • 3.1 Data access
    • 3.2 Administration and data structures
    • 3.3 Advanced programming
  • 4# Analytics
    • 4.1 Analytics fundamentals
    • 4.2 Patterns, relationships and predictive modeling
    • 4.3 Data manipulation and machine learning
    • 4.4 Analytics technologies

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