Certificate in Data Science

An Intensive 5-day Training Course

Certificate in Data Science

  • Format: Classroom, Live/Online
  • Duration: 5 days
  • Language: English
  • Accredited: CPE, KHDA Certified training courses
Certificate in Data Science


Date Venue Fee CPE Credit
Date: 11-15 Aug 2024
Venue: Doha
Fee: US $5,950
CPE Credit: 30
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Date: 29 Sep-03 Oct 2024
Venue: Manama
Fee: US $5,950
CPE Credit: 30
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Date: 24-28 Nov 2024
Venue: Doha
Fee: US $5,950
CPE Credit: 30
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Date: 23-27 Dec 2024
Venue: Dubai
Fee: US $5,950
CPE Credit: 30
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Date: 24-28 Feb 2025
Venue: Amsterdam
Fee: US $5,950
CPE Credit: 30
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Date: 10-14 Aug 2025
Venue: Doha
Fee: US $5,950
CPE Credit: 30
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Date: 28 Sep-02 Oct 2025
Venue: Manama
Fee: US $5,950
CPE Credit: 30
Enroll Now
Date: 23-27 Nov 2025
Venue: Doha
Fee: US $5,950
CPE Credit: 30
Enroll Now
Date: 22-26 Dec 2025
Venue: Dubai
Fee: US $5,950
CPE Credit: 30
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Date Venue Fee
Date: 17-21 Nov 2025
Venue: Live/Online
Fee: US $3,950
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Data science in its core uses mathematics and statistics, specialized programming, advanced analytics, artificial intelligence (AI), and machine learning with specific subject matter expertise to uncover actionable insights hidden in an organization’s data, while Data management is defined as the practice of organizing and maintaining data processes to meet ongoing information lifecycle needs.

These insights are used for science-based decision making and strategic planning.

Through this EuroMaTech Certificate in Data Science training course the delegates will be learning and applying the adequate methods and tools for data analysis and giving the data its true value.

This highly participative EuroMaTech training course will address the data management principles, cyber security risks and mitigation measures, business process mining, as well as the application of data science within the enterprises.

Participants attending will develop the following competencies:

  • Understand the elements of Data Life Cycle
  • Get acquainted with data and mathematical concepts of data science
  • Identify the optimal ways for process mining within their organisation
  • Use data science methodologies and toolkit, including data storytelling
  • Get to apply statistics to analyse and understand data sets
  • Apply analytics methods to industry and business scenarios in different industries

The EuroMaTech training course on Data Science aims to help participants to develop the following critical objectives:

  • Understand the meaning and impact of strategic thinking in Data Science,
  • Know how to determine adequate methods for data cleaning,
  • Develop skills in identifying bias in the data,
  • Use methods to perform process mining within the organisation,
  • Understand the theory of graphs and the importance of data visualisation,
  • Build good data analysis models,
  • Get acquainted with different data analysis software.


This training course is suitable for a wide range of professionals, but will be particularly beneficial to:

  • Technology Engineers, Chief Technology Officer (CTO) and Chief Information Officer (CIO)
  • CEOs
  • CTOs, CIOs and Engineers
  • Data Scientists, Data Analysts
  • Statisticians and technology personnel
  • Marketing and research specialists
  • Project Managers, Project Engineers
  • Supply Chain and Logistics personnel
  • Anyone who is using Data Analysis in their day-to-day work
Training methodology

This Certificate in Data Science training course will combine presentations with instructor-guided interactive discussions between participants relating to their individual interests. Practical exercises, video material and case studies aiming at stimulating these discussions and providing maximum benefit to the participants will support the formal presentation sessions. Above all, the course leader will make extensive use of case examples and case studies of issues in which he has been personally involved.


This EuroMaTech Certificate in Data Science training course on Data Science, covers discussion of critical areas of Data Management, Process Mining and Data Analytics in the modern world, with the issues that have arisen in terms of data insights, correlation and forecasting.



Day 1 - Data Management and Data Science
  • Data Life Cycle
  • Data visualisation
  • Data quality
  • Use of software for data analysis
  • Available AI software platforms
Day 2 - Methodologies within Data Science
  • Statistical analysis of data
  • Graph theory
  • Matrices
  • Linear programming
  • Multi-criteria decision making
  • Univariate, Bivariate and Multivariate Statistics
Day 3 - Process mining
  • Data mining,
  • Process analytics,
  • Discover, validate and improve workflows,
  • AI in process mining
  • Increase operational process efficiency
Day 4 - Machine learning
  • Machine learning, deep learning, and neural networks
  • Machine learning process
    • Decision process
    • Error Function
    • Model Optimization Process
  • Supervised machine learning,
  • Un Supervised machine learning,
  • Semi-supervised learning
Day 5 - Real world Data Science project
  • Data gathering and data quality,
  • Process mining,
  • Automation,
  • Optimization,
  • Predictive and prescriptive analytics.

    Do you have any questions about this course?



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    EuroMaTech is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.NASBARegistry.org.

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