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Certified Big Data Science Professional

A Certified Big Data Science Professional has demonstrated proficiency in the analysis practices and technology concepts and mechanisms that comprise and are featured in contemporary Big Data environments and tools.

Description

Knowledge of fundamental Big Data concepts and terminology is second nature to the Big Data Science Professional, as is an understanding of the business implications, benefits and challenges of adopting Big Data platforms and working with Big Data tools. Furthermore, the Big Data Science Professional must possess the ability to recognise appropriate analysis and analytics techniques and practices and to associate them with the correct problems and requirements, in addition to possessing a fundamental understanding of the underlying mechanics of Big Data technology platforms and mechanisms.

To achieve this certification, the following exams must be completed with a passing grade:

  • Exam B90.01: Fundamental Big Data
  • Exam B90.02: Big Data Analysis & Technology Concepts
  • Exam B90.03: Big Data Analysis & Technology Lab

Big Data

Note that the Big Data Science Professional designation is based on vendor-neutral coverage of technologies and tools. Although vendor-specific examples of certain technologies are provided, none of the required exams, nor the attainment of the certification, require any knowledge or expertise in specific products. The purpose of this certification is to instill proven understanding and capabilities of common, foundational Big Data analysis and technology concepts, mechanisms, and considerations. This knowledge establishes a sound foundation that can be further built upon with additional training, accreditation and experience. Note that all certification requirements and course contents are reviewed regularly to stay in alignment with industry developments.

Course Objectives

Candidates can expect to gain knowledge and competencies in the following areas upon successful completion of the education and examination related to this certification:

  • Understanding Big Data
  • Fundamental Big Data terminology and concepts
  • Big Data business and technology drivers
  • Traditional enterprise technologies related to Big Data
  • Fundamental analysis and analytics
  • Machine learning types, business intelligence and Big Data
  • Big Data analysis lifecycle (from business case evaluation to data analysis and visualization)
  • A/B Testing, correlation, regression, heat maps, time series analysis, network analysis, spatial data analysis, classification, clustering, outlier detection
  • Filtering (including collaborative filtering and content-based filtering)
  • Natural Language Processing (NLP), sentiment analysis and text analytics
  • File systems and distributed file systems, NoSQ

Target Audience

This course explores a range of the most relevant topics that pertain to contemporary analysis practices, technologies and tools for Big Data environments. The course content does not get into implementation or programming details, but instead keeps coverage at a conceptual level, focusing on topics that enable participants to develop a comprehensive understanding of the common analysis functions and features offered by Big Data solutions, as well as a high-level understanding of the back-end components that enable these functions.

Prerequisites

There are no prerequisites for this course. Some fundamental knowledge about computers is recommended.

Exam, Certification & Awards

This course prepares participants for the following three examinations:

  • Exam B90.01: Fundamental Big Data
  • Exam B90.02: Big Data Analysis & Technology Concepts
  • Exam B90.03: Big Data Analysis & Technology Lab

Only upon successful completion of all three examinations, will you receive the Certified Big Data Science Professional Certification. Every exam is multiple choice and can be taken online or in a Pearson Vue test centre. You will be provided with an exam voucher for the examination at the end of the course.

Course Material

Participants will receive three official course booklets that are necessary to complete the course (one course booklet per day). The course booklets contain all the necessary study materials, slides and sample questions to adequately prepare for the examination.

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