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Data Science for Executives – AIM

DIGTR-3142

Course Code

5 Days

Duration

4

Upcoming Dates

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Sector Name

Digital Transformation and Innovation

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29 Nov 2026 | 03 Dec 2026
Online, Virtual
$2,150
Limited Seats
22 Mar 2027 | 26 Mar 2027
Dubai, UAE
$4,250
Upcoming
24 May 2027 | 28 May 2027
Rome, Italy
$4,950
Upcoming
11 Jul 2027 | 15 Jul 2027
Riyadh, KSA
$4,250
Upcoming

Course Introduction

In today’s data-driven business environment, organizations rely on business intelligence systems and trusted data sources to support strategic planning and make fast decisions to seize market opportunities. The massive volume of data generated daily requires companies to keep pace in an increasingly complex world.

 

Consequently, data literacy has become essential to understand market shifts, manage risks efficiently, and improve corporate profitability.

 

The Data Science for Executives program provides a practical introduction to fundamentals of data science and the latest trends, including artificial intelligence (AI). Sessions cover various data-driven models, frameworks, and strategies designed to enhance operational efficiency and drive product innovation. Participants also explore the challenges faced by different industries in their data journeys and learn how to apply data-driven approaches to accelerate growth and support decision-making.

Course Objectives

  • Gain hands-on experience through simulations using MS Excel and Tableau.
  • Understand the fundamental techniques of data science and identify the right time to apply them.
  • Acquire a solid foundation in data science concepts and emerging trends.
  • Enhance skills in data exploration and translating raw data into actionable insights.
  • Apply a data-driven approach to strategic decision-making within their organizations.
  • Develop a data-oriented mindset through intensive practical sessions.
  • Effectively describe, analyze, and interpret data and models.
  • Expand knowledge in analytics and understand major trends in the Fourth Industrial Revolution, data science, and AI, including data strategies and governance.
  • Ask the right analytical questions to maximize return on investment in Data Science and AI (DSAI) initiatives.
  • Transform their organization into a data-driven enterprise that thrives in the DSAI economy.
  • Identify opportunities and potential risks when investing in DSAI and embark on the digital transformation journey.
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