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iLEARN is an ATO (Accredited Training Organization) 
of APMG-International for Enterprise Big
Data Certification courses and exams

 APMG. Enterprise BD Professional accredidation

For an online verification of accreditations, do a research with iCONS - Innovative Consulting S.r.l. of which iLEARN is a business unit.

 

The Enterprise Big Data Professional (EBDP) course will provide delegates with a fundamental understanding of Big Data and related technologies. In this extensive program, delegates will learn how to adopt, adapt and apply the fundamental principles of Big Data in their own organization to realize business benefits. The Enterprise Big Data Professional qualification is an entry-level course for all professionals that aim to get a basic understanding of Big Data terminology, core concepts and Big Data solutions.
The Enterprise Big Data Professional course is a vendor-independent program that is dedicated to applying Big Data best practices towards enterprise organizations. The practical examples from real-world situations will help to gain a better understanding about how Big Data can be used in actual situations. The course will provide an overview of existing technologies but will not go into programming or implementation.

ACCESS DURATION
  • 120 access days to the platform
ENTERPRISE BIG DATA PROFESSIONAL ONLINE COURSE DETAILS
  • 11 lessons (7 hours of video recorded by an accredited teachers)
  • Downloadable PDF documents with detailed content (slides, explanations) for each lesson
  • 1 official mock exams
  • Exercises and solutions
  • Access 24/7

For further information about online courses, please click here.

Location

Online

Individual price

199,00€

Access duration of the course

120 days

Language

English

Objectives

Delegates who have taken the Enterprise Big Data Professional certification course, should be able to:

  • Explain the history and context of Big Data in comparison to traditional data analysis techniques and solutions.
  • Describe the fundamental characteristics of data analysis, big data, machine learning and artificial intelligence and the differences between these concepts.
  • Describe how to formulate a Big Data strategy that underpins the business drivers of Big Data and Big Data solutions in order to capture the value proposition of Big Data.
  • Discuss the high-level principles and design elements of contemporary Big Data architectures and explain their core benefits.
  • Explain fundamental Big Data algorithms and processing techniques in order to select the appropriate techniques to solve practical Big Data problems.
  • Identify how to apply the Big Data processes that are necessary in enterprise organizations to capture value from massive quantities of data.
  • Explain key functions, roles and competences in organizations that are necessary to capture long-term value from Big Data.
  • Understand the importance and concept of Artificial Intelligence and its relation to Big Data methods and solutions.

Who it is aimed at

The Enterprise Big Data Professional qualification is aimed at individuals who are involved in enterprise Big Data analysis, who require a working knowledge of the principles behind Big Data, who need to know the terminology used and some of the theory behind the practice. The target audience of the Enterprise Big Data Professional qualification therefore includes:

  • Data Analysts
  • Business Analysts
  • Digital Marketeers
  • IT Professionals

Contents

  • Introduction
  • Key concepts of Big Data
  • Big Data Strategy
  • Big Data Architecture
  • Big Data Algorithms
  • Big Data Processes
  • Big Data Functions
  • Artificial Intelligence

Prerequisites

There is no mandatory prerequisite to obtain the EBDP Qualification.

Teacher language

English

Material course language

English

Attendance certificate

With this option you can request to receive the official attendance certificate, available in electronic (pdf) or paper format (shipping included).





Enterprise Big Data Professional 120d without exam online course in provided by iLEARN Innovative Learning