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Education Bureau Registration No.:575690, 597600
   
 
 
   
 
 
 
 
  Big Data Certifications    
 

Big Data Professional and Big Data Science Professional Certifications

 
 
 
 
 

About Big Data Science Certified Professional (BDSCP) program

 

The Big Data Science Certified Professional (BDSCP) program from the Arcitura™ Big Data Science School is dedicated to excellence in the fields of Big Data science, analysis, analytics, business intelligence, technology architecture, design and development, as well as governance.

A collection of courses establishes a set of vendor-neutral industry certifications with different areas of specialization. Founded by best-selling author, Thomas Erl, this curriculum enables IT professionals to develop real-world Big Data science proficiency. Because of the vendor-neutral focus of the course materials, the skills acquired by attaining certifications are applicable to any vendor or open-source platform.

 
Why Great Learning?
1. We are the IT technical and management specialists, highly experienced in delivering complicated and conceptual knowledge in an effective way.
2. We are the Big Data Science School Licensed Training Partner.

 
       
  Target Students:    
 

Any IT professional who wants to obtain a formal accreditation to recognize a range of Big Data proficiency

   
       
  Course Duration:    
 

18 hours training

   
       
  Language:    
  Cantonese with English terms    
       
  Prerequisites:    
 

At least two years IT experience

   
       
  Trainer:    
  Mr. Houston Ho    
       
  Course Agenda:    
 

Module 1: Fundamental Big Data (duration: 6 hours)

  • It provides the high-level overview of essential Big Data topic areas. A basic understanding of Big Data from business and technology perspectives is provided, along with an overview of common benefits, challenges, and adoption issues. It is divided into a series of modular sections, each of which is accompanied by one or more hands-on exercises.
    • Fundamental Terminology and Concepts
    • A Brief History of Big Data
    • Business Drivers that Have Led to Big Data Innovations
    • Characteristics of Big Data
    • Benefits of Adopting Big Data
    • Challenges and Limitations of Big Data
    • Basic Big Data Analytics
    • Big Data and Traditional Business Intelligence and Data Warehouses
    • Big Data Visualization
    • Common Adoption Issues
    • Planning for Big Data Initiatives
    • New Roles Introduced by Big Data Projects
    • Emerging Trends

Module 2: Big Data Analysis & Technology Concepts (duration: 6 hours)

  • This module 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.
    • The Big Data Analysis Lifecycle (from dataset identification to integration, analysis and visualization)
    • Common Analysis and Analytics Techniques
    • A/B testing, Regression, Correlation, Text Analytics
    • Sentiment Analysis, Time Series Analysis
    • Network Analysis, Spatial Analysis
    • Automated Recommendation, Classification, Clustering
    • Machine Language, Natural Language, Semantics
    • Data Visualization and Visual Analysis
    • Assessing Hierarchies, Part-to-Whole Relationships
    • Plotting Connections and Relationships, Mapping Geo-Spatial Data
    • Foundational Big Data Technology Mechanisms
    • Big Data Storage (Query Workload, Sharding, Replication, CAP, ACID, BASE)
    • Big Data Processing (Parallel Data Processing, Distributed Data Processing, Shared-Everything/Nothing Architecture, SCV)
    • Big Data & Cloud Computing

Module 3: Big Data Analysis & Technology Lab (6 hours)

  • This course module presents participants with a series of exercises and problems designed to test their ability to apply knowledge of topics covered previously in course modules 1 and 2. Completing this lab will help highlight areas that require further attention, and will further prove hands-on proficiency in Big Data analysis and technology and practices as they are applied and combined to solve real-world problems.
  • As a hands-on lab, this course provides a set of detailed exercises that require participants to solve a number of inter-related problems, with the goal of fostering a comprehensive understanding of how Big Data environments work from both front and back-ends, and how they are used to solve real-world analysis and analytics problems.
  • For instructor-led delivery of this lab course, the Certified Trainer works closely with participants to ensure that all exercises are carried out completely and accurately. Attendees can voluntarily have exercises reviewed and graded as part of the class completion. For individual completion of this course as part of the Module 3 Self-Study Kit, a number of supplements are provided to help participants carry out exercises with guidance and numerous resource references.
   
       
  Courseware:    
  Official course booklets    
       
  Fee:    
 

Price: HK$ 8,000 (course only)

   
  Price: HK$ 11,300 (course and 3 exam vouchers)    
       
  Examination:    
 

Exam B90.01: Fundamental Big Data (fee: HK$ 1,163)
Exam B90.02: Big Data Analysis & Technology Concepts (fee: HK$ 1,163)
Exam B90.03: Big Data Analysis & Technology Lab (fee: HK$ 1,357)

Location: any Pearson VUE centres or online monitoring exam

Students taking our Big Data courses may purchase exam vouchers at 10% off.

   
       
  Requirements for Certifications:    
 

Big Data Professional:
Passing Exam B90.01: Fundamental Big Data AND One additional exam

Big Data Science Professional:
Passing the following exams:
Exam B90.01: Fundamental Big Data
Exam B90.02: Big Data Analysis & Technology Concepts
Exam B90.03: Big Data Analysis & Technology Lab

   
 
   
  Related Courses:    
  Certified Big Data Scientist    
  Certified Big Data Consultant     
       
  Reference Link:    
  Big Data Science School    
  Enrollment for Big Data Professional and Big Data Science Professional Certifications    
 

Two persons enroll together may enjoy 5% discount.
 

Evening Class (module 1 - 3, the 19th intake)

5 November 2018 (every Monday) Wanchai
7:00 - 10:00 p.m.
Price: HK$ 8,000 (course only)
Price: HK$ 11,300 (course and 3 exam vouchers)
 
 
 
       
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