Course Overview
The Enterprise Big Data Analyst® (EBDA) course equips professionals with advanced techniques to analyze Big Data and extract actionable insights. Participants learn to apply statistical and machine-learning methods while presenting results in a structured, reproducible manner.
The demand for qualified Big Data Analysts has grown rapidly across industries, making mastery of structured data analysis essential for career growth and organizational impact. This course provides a strong theoretical foundation and bridges concepts with practical application.
Participants explore key algorithms for exploratory data analysis, statistical inference, predictive modeling, and machine learning, including classification and clustering, learning both the underlying theory and practical application in the practice of Python programming language. This approach ensures participants can interpret outputs accurately and make informed decisions.
As the practitioner level of the globally accredited DASCIN’s Big Data Framework curriculum by APMG-International, the course offers a vendor-neutral perspective on Big Data architectures, technologies, and processes. The emphasis is on applying models correctly rather than programming expertise, preparing participants to work confidently with real-world data.
The EBDA® curriculum enables data professionals to develop a deep understanding of analysis techniques, core process steps, and best practices for deriving maximum value from data. Participants strengthen their ability to design reproducible analyses, evaluate model performance, and communicate results clearly.
By the end of the course, participants gain both practical knowledge and theoretical insight required to succeed in the Enterprise Big Data Analyst certification exam. This qualification empowers professionals to deliver high-quality insights, support data-driven decision-making, and enhance organizational performance across diverse business environments.
Enterprise Big Data Analyst® is a registered trademark of DASCIN. All rights reserved.
Learning Objectives
The Enterprise Big Data Analyst (EBDA) qualification demonstrates that candidates can analyze Big Data and understand key data analysis concepts and techniques. A certified Enterprise Big Data Analyst has proficiency in essential models and concepts for day-to-day data analysis. They understand theoretical differences between statistical and machine learning approaches, can explain model distinctions, and select the appropriate model for specific business problems.
Certified candidates can extract value from Big Data sets, though their autonomy may depend on experience, problem complexity, and available support.
By the end of this course, participants will be able to:
- Understand and explain the enterprise data analysis process and its key steps.
- Recognize different data sources (local, online, databases) and import them for analysis.
- Apply fundamental data cleaning and wrangling operations, understanding differences between techniques.
- Utilize exploratory data analysis for model building, validation, and initial visualization.
- Apply core statistical inference concepts, including hypothesis testing.
- Formulate and interpret predictive models, including simple linear regression.
- Apply machine learning models for classification (K-Nearest Neighbour, Naïve Bayes, Logistic Regression, Classification Trees).
- Apply machine learning models for clustering (Hierarchical and K-means).
- Formulate and interpret outlier detection models (Grubbs and K-NN).
- Use core data presentation techniques, including codebooks and visualizations, to communicate findings.
Target Audience
This qualification targets professionals involved in enterprise Big Data analysis who need practical knowledge of Big Data principles, statistical methods, and machine learning techniques to make informed decisions, including the following roles:
- Data Analysts
- Business Analysts
- Business Data Analysts
- Systems Analysts
- Data Management Analysts
- Business Analytics Consultants
- Data Scientists
- Data Modellers
Exam Structure
The Enterprise Big Data Analyst Certification Exam is structured as follows:
- No prerequisite required
- Objective testing based on a case study scenario
- 4 questions of 20 marks each
- 53 marks required to pass (out of 80 available) – 65%
- 150 minutes duration
- The EBDA Guide may be used in the exam
Downloads and Resources
Download more information:
- Enterprise Big Data Analyst (EBDA®) Brochure (1003 downloads )
- White Paper - The Big Data Framework (2158 downloads )
- White Paper - Big Data in Healthcare Transforming Patient Care and Operational Efficiency (2166 downloads )
Additional reading:
- Article: Introduction to Data Analytics
If your preferred date is not available, please feel free to get in touch with us.
Nicholas yee Chee Huan –
The whole idea of how data analytic is formed and execute it – is informative. The trainer is knowledgeable and experienced which enhance my learning.