Seminar Hub: Big Data, Data Science and Machine Learning

Welcome to the seminar hub for our upcoming seminar on Big Data, Data Science and Machine Learning. This page will help you prepare for the event, explore the roadmap, join the discussion, and discover follow-up learning opportunities.

How This Seminar Hub Works

• Format: Live online seminar
• Access: Registered participants can use this page to review the seminar roadmap, join the discussion, and access selected seminar resources
• Purpose: This seminar hub helps participants prepare before the event and continue learning afterward

Current Session Details

• Live Seminar Date: Thursday, April 2, 2026
• Format: Online
• Access to the live session: Registered participants will receive joining instructions by email

Register for the Next Live Session

If you have not yet registered for the next live session of this seminar, you may do so here:

Register on Eventbrite

What This Seminar Is About

This seminar explores how modern organizations can use big data, data science, machine learning, dashboards, and automation to build practical and intelligent business applications.

Through real examples, participants will see how data can move from collection and analysis to visualization, decision support, and automated action. The seminar will also highlight how modern AI tools can accelerate the development of useful business applications on top of real data infrastructure.

Participants will also be exposed to real systems and practical demonstrations, including dashboards, automation workflows, and examples of AI-assisted application development.

Although some examples may come from financial markets and live data systems, the ideas discussed in this seminar are relevant to many domains, including business operations, reporting, customer service, logistics, education, and digital transformation.

What You’ll Explore

During the seminar, we will focus on practical ideas and real systems rather than theory alone.

Typical Seminar Highlights

• Understanding what modern big data and AI systems look like in practice
• Seeing how data can move from ingestion to analysis, dashboards, and automated workflows
• Exploring the role of real-time data pipelines and analytics platforms
• Understanding how dashboards can turn raw data into business insight
• Seeing how automation systems can move from insight to action
• Discussing the role of machine learning in modern intelligent applications
• Understanding how AI coding tools can accelerate application development
• Exploring how the same architecture can support many business use cases beyond finance

Who This Seminar Is For

• Business professionals and managers interested in AI, analytics, and automation
• Students and researchers who want exposure to practical big data and machine learning ideas
• Technical professionals exploring data platforms, dashboards, automation, or intelligent applications
• Learners and innovators who want to understand how AI and data can be applied in real organizations

Requirements

• Interest in data, AI, dashboards, automation, or digital transformation
• No advanced technical background is required to benefit from the seminar
• A laptop or desktop with a stable internet connection is recommended for the live session

Before the Seminar

To help us make this session more relevant and interactive, participants are encouraged to use this seminar hub before the live event.

Before the live session, we encourage you to introduce yourself in the discussion area and share what you would most like to learn from this seminar.

• Review the seminar roadmap
• Join the discussion and introduce yourself
• Share what you would most like to learn from this seminar
• Explore the recommended learning pathways and upcoming programs

Suggested pre-seminar discussion prompt:
Please introduce yourself briefly and share:
- your background or current role
- your level of experience with data or AI
- what you would most like to learn from this seminar

Continue Your Learning

If you would like to go deeper after this seminar, you may explore the following programs:

• AI and Generative AI for Business Professionals
  For managers, educators, analysts, and non-technical professionals who want practical AI skills.
  Learn more
• Artificial Intelligence Professional Program
  For participants who want stronger technical skills in Python, data analysis, and machine learning.
  Learn more
• Python for Financial Data Analysis and Algorithmic Trading
  For participants interested in financial data, analytics, and automated trading systems.
  Learn more

Upcoming Programs and Events

You may also explore our upcoming training calendar, brochures, and related learning opportunities through the links and resources shared in this seminar hub.

Participation

Participation in this seminar is free. Registered participants will receive access details by email.

Notes:
- This page may also be used to share seminar materials, updates, and follow-up resources
- Participants are encouraged to join the discussion before the live session
- Additional learning opportunities, brochures, or upcoming event information may be shared here
- For future instances of this seminar, the event details and registration link may be updated

Seminar Instructor

• Instructor: Ahmed El Koutbia — Founder & Lead Instructor at Innosoft Gulf; data scientist, AI educator, and developer of practical systems in big data, machine learning, dashboards, and algorithmic trading.
• Support: Innosoft Gulf Team — learner onboarding and seminar support

Frequently Asked Questions

• Is this seminar only about finance? No. Some examples may come from financial markets, but the ideas apply to many business and technical domains.
• Do I need to be highly technical? No. The seminar is designed to be valuable for both technical and non-technical participants.
• Will materials be shared afterward? Selected seminar materials or follow-up resources may be shared through this seminar hub.
• How can I prepare for the seminar? We encourage you to review this page, join the discussion, and share what you would most like to learn before the live session.