Design a roadmap for implementing data-driven innovation in their respective sectors.
Digital Skills Development
Overview
Empowering Talent with Advanced Digital Skills for the Fourth Industrial Revolution.
In today’s fast-evolving digital age, advanced digital skills are no longer a luxury—they're a necessity across every industry. As the digital economy accelerates, professionals must be equipped to navigate and harness the power of emerging technologies such as data science, artificial intelligence, the Internet of Things, and smart cities. This program prepares learners to effectively manage and analyze massive data lakes, staying ahead in a world shaped by the Fourth Industrial Revolution.
This first-of-its-kind training program in the region is designed to build advanced data-driven digital skills that drive innovation and unlock the value of big data across sectors. Spanning 125 hours of both theoretical and hands-on training, the program equips learners with cutting-edge expertise in data science and modern technologies—no prior programming experience required.
Who is This Course For?
Empowering Professionals and Academics to Lead in the Digital Era.
This program is tailored for professionals across the public and private sectors who seek to advance their digital capabilities in line with future demands. It also targets academics from diverse disciplines and postgraduate students aiming to gain hands-on expertise in data science and emerging technologies. The goal is to develop talent equipped to drive institutional competitiveness and achieve digital excellence.
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Professionals working across various government sectors.
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Private sector employees looking to enhance their digital skills.
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Academics from all fields of knowledge.
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Postgraduate students.
What You Learn
Knowledge
Graduates of this program will gain a strong foundation in:
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Understanding the Concept of Data-driven Innovation.
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Acquiring Foundational Statistical Knowledge for Data Science and Artificial Intelligence Applications.
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Describing Big Data and Cyberspace Data, and Identifying Methods of Engineering Both.
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Gaining Theoretical Insight into Machine Learning and Deep Learning Algorithms across Various Types.
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Exploring both the Theoretical and Practical Aspects of Predictive Analytics and its Use Cases.
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Understanding How Business Intelligence Enhances Management, Monitoring, and Decision-making Capabilities.
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Identifying real-world AI Applications (Computer Vision, Object Detection, Face Recognition, Object Tracking).
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Describing Smart Cities and Exploring the Role of IoT in their Development.
Skills
This program equips learners with the ability to:
Analyze and interpret big data using statistical tools to unlock AI and data science applications.
Manage and process big data through data engineering frameworks and tools.
Apply machine learning and deep learning models to build innovative predictive and classification solutions.
Develop time series models to forecast critical security scenarios.
Visualize data through dynamic dashboards using Drilldown business intelligence tools.
Design applications powered by advanced AI technologies (Computer Vision, Object Detection, Face Recognition, Object Tracking).
Prepare to pass international certifications in data science and artificial intelligence.
Pre-requisites
For Qualified Professionals Seeking Advanced Expertise in Data Science and AI.
List of pre-requisites:
- A bachelor's degree.
- Or at least two years of relevant experience in any sector.
Assessment Strategy
Learners will be evaluated based on:
Assessment Methods
Pass/Fail assessments during simulation training sessions.
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Submission of required practical projects.
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Continuous evaluation throughout the hands-on training phase.
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Ongoing support and follow-up through in-person and virtual mentoring sessions.
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