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Machine Learning for Business Decision-Making

DIGTR-3190

Course Code

5 Days

Duration

4

Upcoming Dates

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Sector Name

Digital Transformation and Innovation

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25 Oct 2026 | 29 Oct 2026
Online, Virtual
$2,150
Limited Seats
05 Apr 2027 | 09 Apr 2027
Dubai, UAE
$4,250
Upcoming
02 May 2027 | 06 May 2027
Riyadh, KSA
$4,250
Upcoming
12 Jul 2027 | 16 Jul 2027
Athens, Greece
$4,950
Upcoming

Course Introduction

Machine learning enables organizations to move beyond descriptive insights and derive predictive, prescriptive, and actionable outcomes. This program focuses on applying machine learning models to business problems, emphasizing model selection, optimization, and real-world deployment considerations. 

 

Participants will gain expertise in supervised and unsupervised learning, feature engineering, model evaluation, and visualization of complex datasets. The course bridges the gap between analytics and strategic decision-making, preparing participants to deliver actionable insights at scale. 

Course Objectives

  • Apply machine learning models for predictive and prescriptive analytics. 
  • Optimize model performance and validate results rigorously. 
  • Use feature engineering to improve model accuracy. 
  • Interpret machine learning outputs for strategic decision-making. 
  • Deploy models and integrate predictive insights into business workflows.