Professional Certificate in Data Storytelling for Supply Chain

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The Professional Certificate in Data Storytelling for Supply Chain is a valuable course designed to equip learners with essential skills in data storytelling, a critical area of demand for supply chain professionals. This program bridges the gap between data analysis and effective communication, empowering learners to present data insights in compelling and understandable ways.

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ร€ propos de ce cours

In today's data-driven world, the ability to tell a story with data is a highly sought-after skill, and this certificate course offers a unique opportunity to gain a competitive edge in the job market. The course covers essential topics such as data visualization, data-driven communication, and storytelling techniques, providing learners with the tools they need to excel in their careers. By completing this program, learners will be able to communicate complex data insights to stakeholders, make data-driven decisions, and drive business value through effective storytelling. This certificate course is an excellent investment for anyone looking to advance their career in supply chain management or a related field.

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Dรฉtails du cours

โ€ข Data Visualization Techniques: Understanding the basics of data visualization and how to use various charts and graphs to convey supply chain data effectively.
โ€ข Data Analysis for Supply Chain: Learning data analysis techniques specific to supply chain, including demand forecasting, inventory management, and logistics optimization.
โ€ข Telling a Story with Data: Understanding the elements of storytelling and how to apply them to data analysis to create compelling narratives that drive action and inform decision-making.
โ€ข Communication Skills for Data Storytelling: Developing the communication skills necessary to present data stories to different audiences, including technical and non-technical stakeholders.
โ€ข Supply Chain Metrics and KPIs: Learning how to identify and measure key performance indicators (KPIs) in the supply chain and use them to inform data storytelling.
โ€ข Data Ethics and Privacy in Supply Chain: Understanding the ethical considerations around data use and privacy in the supply chain context, including best practices for data security and protection.
โ€ข Data Storytelling Tools and Software: Exploring various tools and software options for data storytelling, including Tableau, Power BI, and Excel, and learning how to use them to create effective visualizations and narratives.
โ€ข Case Studies in Supply Chain Data Storytelling: Analyzing real-world examples of successful data storytelling in the supply chain context to inform best practices and strategies.

Parcours professionnel

The **Professional Certificate in Data Storytelling for Supply Chain** is a valuable program that prepares learners for in-demand roles in the industry. Here's a breakdown of the job market trends and skill demand in the UK, visualized in a 3D pie chart: - Demand for Data Storytelling in Supply Chain: 35% - Data Analyst: 25% - Supply Chain Manager: 20% - Logistics Analyst: 10% - Other Roles: 10% The data clearly highlights the growing need for professionals skilled in data storytelling within the supply chain sector, as well as other key roles in the industry.

Exigences d'admission

  • Comprรฉhension de base de la matiรจre
  • Maรฎtrise de la langue anglaise
  • Accรจs ร  l'ordinateur et ร  Internet
  • Compรฉtences informatiques de base
  • Dรฉvouement pour terminer le cours

Aucune qualification formelle prรฉalable requise. Cours conรงu pour l'accessibilitรฉ.

Statut du cours

Ce cours fournit des connaissances et des compรฉtences pratiques pour le dรฉveloppement professionnel. Il est :

  • Non accrรฉditรฉ par un organisme reconnu
  • Non rรฉglementรฉ par une institution autorisรฉe
  • Complรฉmentaire aux qualifications formelles

Vous recevrez un certificat de rรฉussite en terminant avec succรจs le cours.

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PROFESSIONAL CERTIFICATE IN DATA STORYTELLING FOR SUPPLY CHAIN
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London School of International Business (LSIB)
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05 May 2025
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