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Senior Big Data Analyst (SBDA™)

Awarding body

Information Systems Audit and Control Association (ISACA).


Information Technology (IT)

This program is about:

Helping aspiring Big Data Analysts build longer–lasting sets of specialized and sound skills and a more in-depth Big Data perspective. It seeks to develop in learners a strong generic and platform–based understanding of the concepts, principles, tools, techniques, and technologies needed for designing, developing, and applying analytics frameworks, and the utilities required for sharper information management and decision making.

At the end of the program, you will be able to:

  1. Understand the framework of Data Science in the application.
  2. using Python and R in interpreting data for decision-making.
  3. Apply important quantitative techniques and tools in data analytics and model optimization.
  4. Analyse, manage and harness massive data using tools and applications like Python and R.
  5. Analyse, manage a harness massive data using Hadoop ecosystem and with the use of combination tools.
  6. Analyse data visualization use-cases using Tableau.
  7. Apply big data analytics in machine learning and artificial intelligence scenarios and cases using R and Python.
  8. Use R and Python in business-level data analytics.

Implement analytics in Big Data, messaging systems, Cloud and Cluster.

The program provide you with:

  1. Foundations of Data Science
  2. The Mathematics of Data Science
  3. Dealing with Data
  4. Doing Data Analytics
  5. Data Visualization
  6. Analytics in Machine Learning and AI
  7. Business Implementation
  8. Databases and Big Data Analytics

The program is suitable for:

  • Profession level: senior big data analytics professionals or market research professionals
  • Education level: BA or BSc degree in business, management, Marketing, Statistics, Mathematics, Economics, or Applied Mathematics

Awarding body:

Data Science Council of America (DASCA)


Data Science Council of America (DASCA)

Type of certificate:



Online Exam

Career progression:

It leads to higher career levels Senior Data Scientist (SDS™)


Enma Institue

Tamkeen support scheme:

Professional Scheme

Learner Obligations:

Compliance to program rules & regulations set by the institute and awarding body.


  • Foundations Of Data Science
  • The Mathematics Of Data Science
  • Dealing With Data
  • Doing Data Analytics
  • Data Visualization
  • Analytics In Machine Learning And AI
  • Business Implementation

35 hours


2-5 hours/week




Senior Big Data Analyst (SBDA™)







Program Cost

1,000 BD

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