Advanced Mathematics Course for the Data Engineering Track

USD 127
USD 64

Duration
01:46:39 hours

Access Time
Lifetime

Language
Arabic

Resources
(1)

USD 127
USD 64

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About the instructor

Mahmoud Abo El-Hassan

Chief Technology Officer

Mahmoud boasts extensive expertise spanning over 24 years in various facets of IT, including Digital Transformation consultancy and training, Technology Managed and Support Services, E-Commerce, Public Cloud, FinTech, Cybersecurity, Data Center, Projects Management Office, and Enterprise Architecture. His comprehensive experience encompasses diverse sectors such as Data Center services, Cloud Services, E-Commerce, IT Assessment Services, Digital Transformation Consultancy and Training, Enterprise Architecture, and ERP consultancy services.

Over the course of his career, Mahmoud has provided consultancy services to esteemed firms including NBE, Exceed, MCDR, Bank Misr, Network International, among others. Furthermore, he has imparted training in Cybersecurity, Business Continuity, Enterprise Architectures, FinTech, ITIL, Transformational Leadership, and Digital Transformation to professionals from various countries including Iraq, Oman, Jordan, Palestine, Saudi Arabia, Emirates, Kuwait, and Egypt.

Mahmoud's expertise has been recognized internationally through presentations at esteemed conferences and webinars such as ISACA, ITU, Arab Security Conference, EC-Council, and others. His career progression includes key roles like Applications and E-commerce Manager, Data Center Operations Senior Manager, Head of PMO, Internal Systems Senior Manager (IT), and recently, Head of Managed and Support Services at Benya Systems, in addition to serving as IT Director.

He has spearheaded numerous successful projects, notably contributing to the development of rayashop.com, a leading e-commerce platform in Egypt. Mahmoud's pivotal role in launching Raya Nigeria and Raya Algeria, along with his contributions to establishing Raya Data Center, renowned for its ISO certificates and skilled professionals, underscores his impactful leadership.

Academically, Mahmoud is a Doctoral of Business Administration Candidate at "The International Business School of Scandinavia- IBSS," holding an M.Sc. in Computer Science from Middlesex UK, a B.Sc. from Cairo University, a Data Center Expert certification from Capitoline, and having completed the Advancement Management Program from RITTI.

Objectives of Advanced Mathematics Course for the Data Engineering Track

This program aims to provide a comprehensive understanding of the fundamental concepts in probability and statistics, which form the backbone of machine learning and data science. It helps participants build a solid framework that enables them to clearly interpret the results of algorithms and understand the reasons behind using certain methods. It also empowers them to adjust techniques when desired results are not achieved, thus improving prediction accuracy and making informed decisions. The program covers key topics such as joint probability, conditional probability, Bayes' Theorem, random variables, normal distribution, variance, and linear regression. By the end of the program, participants will be able to practically apply these concepts to analyze data and build machine learning models effectively.

You Will Learn

In this program, you will learn the fundamentals of probability and statistics and how to apply them in machine learning and data science. You will explore how to calculate conditional probabilities and use Bayes' Theorem to analyze data more accurately. You will gain a deep understanding of random variables, normal distribution, and linear regression, which will help you interpret results and make data-driven decisions. Additionally, you will learn how to use p-values to test hypotheses and perform statistical data analysis. By the end of the program, you will be able to apply these concepts to build machine learning models and improve algorithm performance using solid mathematical and statistical foundations.

Targeted Students

This program is aimed at students and professionals who seek to enhance their skills in machine learning and data science. This includes university students in fields such as computer science, mathematics, statistics, and engineering, as well as researchers in the fields of artificial intelligence and data analysis. It also targets professionals working in data analysis, machine learning algorithm developers, and technical project managers who want to make data-driven decisions. The program is also suitable for programmers and data scientists who wish to improve the accuracy of their models and understand the mathematical and statistical foundations underlying machine learning algorithms.