Course duration:
4 days, 9am – 5pm
We offer flexible learning options (online, instructor-led, hybrid) to fit your learning style
Principal Consultant Sapience Consulting
Principal Consultant Sapience Consulting
Enterprise Big Data Analyst
Synopsis
The Enterprise Big Data Analyst (EBDA®) course discusses advanced techniques for the analysis of Big Data. In this course, the participants will learn how to obtain value from data through statistical and machine learning techniques and how this analysis should be presented in a reproducible manner. The course discusses advanced data analysis techniques in the context of Big Data. The course provides an overview of the most common algorithms for exploratory data analysis, statistical inference, predictive modelling and machine learning techniques (classification and clustering).
Course participants will learn the underlying theory of the different algorithms, and how each algorithm can be applied in practice in the R programming language. This certification will not test programming skills. The emphasis is on the correct application of the theoretical models. However, participants are required to understand the output of the programming languages in order to draw conclusions from the results of the analysis.
The course is the second level of the Big Data Framework course curriculum and certification program and is globally accredited by APMG-International. The curriculum provides a vendor-neutral and objective understanding of Big Data architectures, technologies and processes.
Outlines
- Introduction to Big Data Analysis
- The Data Analysis Process
- Data Ingestion – Importing and Reading Data
- Data Preparation – Cleaning and Wrangling Data
- Data Analysis – Model Building
- Classification Techniques
- Clustering Techniques
- Outlier Detection
- Data Presentation
Objectives
This Enterprise Big Data Analyst course will prepare participants to:
- Understand and explain the data analysis process
- Understand the difference and structure of common data sources
- Apply and utilize fundamental data cleaning and wrangling operations
- Understand and apply exploratory data analysis techniques
- Understand and apply the core concepts of statistical inference
- Formulate and interpret predictive models
- Formulate and interpret machine learning models for classification and clustering
- Formulate and interpret outlier detection models
- Understand and apply the core data presentation techniques
Audiences
Certification and Exam Info
Successfully passing (65%) the 150-minute examination, consisting of 80 complex multiple-choice questions, leads to the Enterprise Big Data Analyst (EBDA) Certificate. The examination and certification process is administered by APMG International on behalf of the Enterprise Big Data Framework Alliance.
Upon passing the exam, participants will obtain the Enterprise Big Data Analyst (EBDA®) certificate, that is globally accredited by APMG International.
Pre-requisites
The Enterprise Big Data Analyst is an advanced level course, that will require experience in the analysis of data and common data operations techniques. The Enterprise Big Data Professional level is a mandatory prerequisite. Programming experience is an advantage.
Funding Available
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NTUC members can use the Union Training Assistance Programme (UTAP) to partially cover the cost of their training.
Visit our UTAP page for more info.
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Schedule
As Principal Consultant, Lionel Seaw offers extensive technical and managerial depth across government, pharmaceutical, and financial sectors. A trusted advisor, he combines real-world experience with a strategic helicopter-view to manage complex changes. Lionel is dedicated to building high-performance teams through effective methodologies and best practices, achieving mission-critical objectives with perseverance and focus.
Feisal Ismail is an experienced technology and management leader who has supported organisations across government, pharmaceutical, technology, and financial services sectors. An ITIL and DevOps Institute Ambassador, he helps organisations align digital and technology strategies with broader business objectives through pragmatic, results-oriented guidance grounded in globally recognised best practices and real-world operational constraints. Meticulously organised and highly collaborative, Feisal is recognised for delivering effective and sustainable outcomes in complex engagements.
Tan Hoon Wee is an accomplished IT professional with extensive international experience in managing shared services and complex project delivery. Expert in both Waterfall and Agile methodologies, he holds prestigious certifications including PMP, PRINCE2, and CSM. He specialises in advising on organisational change and process optimisation, leveraging exceptional communication skills to maintain outstanding client relationships.
Huang Yi-Jen is a specialist consultant in IT Governance and Management Frameworks. With a portfolio spanning Service Management, Agile, and Risk Management, she is recognised for achieving sustainable results through an organised, proactive delivery model. Yi-Jen is a natural communicator who excels at managing diverse stakeholders and solving complex challenges with an innovative, value-driven and professional mindset.
Luqman Haniff is an IT security specialist with over a decade of experience advising SMEs on infrastructure and information security management. A meticulous problem solver, Haniff utilises a balanced macro-and-micro approach to tackle organisational vulnerabilities. He specialises in creating targeted, custom solutions that bridge the gap between technical necessity and cost-effective business strategy for robust protection.
Why Us?
Participants can attend a complimentary refresher if they wish (1-year validity and subject to approval)
Should you have questions after the course, you may contact the trainer for assistance regarding course material
1 year access to our E-learning portal. Including:
– E-books available for download
– Official sample exam
– Randomised quiz formulated by Sapience Trainers based on past examinations