OM-SCM007

Data Science and Supply Chain Analytics

INTRODUCTION

The training is intended to be experience learning. You will learn about supply chain basics, followed by programming principles, to get all course participants up to speed. You will learn supply chain applications utilizing data science. The course delivery approach will be a combination of discussing things on a whiteboard, presentations, and Python-coding sessions in which you perform the code step by step.

 

COURSE METHODOLOGY

This course is designed in the form of workshop which will includes a variety of learning tools to help participants function effectively and efficiently in a multifunctional environment through various methodologies including;

  • Short lectures
  • Brainstorming
  • Case studies
  • Group activities
  • Role playing

 

COURSE OBJECTIVES

The attendees of this Certificate Program will be able to:

  • An A-Z Guide to Python for Data Science.
  • Employed as a Demand Planner.
  • Develop your skills as a data-driven supply chain manager.
  • For logistics optimization and production scheduling, use Python linear programming.
  • Establish stock policies and safety stocks for all of your company’s items.
  • Revenue administration
  • Segment customers, products, and suppliers to improve service and cut expenses.
  • Learn how to use simulations to make more educated supply chain choices.

 

 WHO SHOULD ATTEND THIS COURSE?

  • Project Managers
  • Operations Managers
  • Procurement and logistics professionals
  • Supply chain manager
  • Management Representatives
  • Anyone who is seeking improvement in skills for enhanced performance and career development

 

TARGETED SKILLS

  • Strategic purchasing operations
  • Item value analysis
  • Departmental management
  • Negotiation
  • Purchasing ethics
  • Supplier evaluation
  • Data science
  • Demand planning
Course Code: OM-SCM007 Category:

Available Options

LocationLanguageMode of TrainingDurationDate 
OnlineEnglishVirtual5 Days3-7 Mar 2024
Kuwait (Kuwait City)EnglishFace-to-Face5 Days10-14 Mar 2024
Ghana (Accra)EnglishFace-to-Face5 Days17-21 Mar 2024
Maldives (Male)EnglishFace-to-Face5 Days24-28 Mar 2024
Egypt (Cairo)EnglishFace-to-Face5 Days17-21 Mar 2024
India (New Delhi)EnglishFace-to-Face5 Days17-21 Mar 2024
Qatar (Doha)EnglishFace-to-Face5 Days10-14 Mar 2024
UAE (Dubai)EnglishFace-to-Face5 Days10-14 Mar 2024
Bahrain (Manama)EnglishFace-to-Face5 Days24-28 Mar 2024
Russia (Moscow)EnglishFace-to-Face5 Days10-14 Mar 2024
India (Mumbai)EnglishFace-to-Face5 Days24-28 Mar 2024
Oman (Muscat)EnglishFace-to-Face5 Days3-7 Mar 2024
Singapore (Singapore City)EnglishFace-to-Face5 Days24-28 Mar 2024
Armenia (Yerevan)EnglishFace-to-Face5 Days17-21 Mar 2024
Azerbaijan (Baku)EnglishFace-to-Face5 Days3-7 Mar 2024
Location

Armenia (Yerevan), Azerbaijan (Baku), Bahrain (Manama), Egypt (Cairo), Ghana (Accra), India (Mumbai), India (New Delhi), Maldives (Male), Oman (Muscat), Qatar (Doha), Russia (Moscow), Singapore (Singapore City), UAE (Dubai), Kuwait (Kuwait City), Online

Language

English

Mode of Training

Face-to-Face, Virtual

Duration

5 Days

Date

1-5 Oct 2023, 10-14 Dec 2023, 10-14 Mar 2024, 11-15 Jun 2023, 12-16 Nov 2023, 14-18 May 2023, 17-21 Mar 2024, 19-23 Feb 2023, 19-23 Mar 2023, 19-23 Nov 2023, 2-6 Apr 2023, 21-25 Jan 2024, 21-25 May 2023, 24-28 Mar 2024, 26 Feb-2 Mar 2023, 26-30 Mar 2023, 26-30 Nov 2023, 3-7 Mar 2024, 4-8 Jun 2023, 5-9 Mar 2023, 7-11 Jan 2024, 9-13 Apr 2023