Certified Supply Chain Analyst (CSCA)- (Self-Paced)

Certified Supply Chain Analyst (CSCA)- (Self-Paced)

Supply Chain Management is one of the major areas of any organization which can navigate the business toward success. Effective and efficient Supply chain management can deal with the entire chain of the business life cycle, starting from raw material to delivery.

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Course Overview
  • Length 4 Months
  • Regular Fee $ 420.00
  • Special Fee $ 295.00
  • Payment Plan Available
  • Course Type Salf Paced
  • Review
    (4.86)

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Discover everything you need to know about the Program.

International Recognition

Cambridge Academy of Professionals (CAP) UK.

This program is Validated and Quality Assured by Cambridge Academy of Professionals (CAP) UK. [www.cambridgeacademy.uk]

The Certified Supply Chain Analyst (CSCA) program is a specialized certification designed to empower professionals with the skills and knowledge to leverage analytics for enhanced supply chain decision-making. In an era of data-driven decision-making, supply chain analytics has become a critical tool for improving efficiency, reducing costs, and creating sustainable business value. This course provides a comprehensive overview of supply chain analytics, exploring data fundamentals, analytical models, and their practical applications in demand forecasting, cost optimization, and performance measurement. Additionally, the program emphasizes the role of analytics in achieving environmental, social, and governance (ESG) goals and prepares participants to navigate the future trends in this evolving field. With a focus on real-world applications, this course equips participants to transform data into actionable insights for strategic supply chain decisions.

  • After successful completion of the program, participants will be able to:

    • Introduce participants to the fundamentals of supply chain analytics and its significance.
    • Provide an understanding of data types and analytical techniques relevant to supply chains.
    • Explore the four types of supply chain analytics: descriptive, diagnostic, predictive, and prescriptive.
    • Train participants to apply demand analytics for accurate forecasting and planning.
    • Highlight the impact of supply chain analytics on sustainability and ESG objectives.
    • Equip participants with knowledge to develop and interpret supply chain models.
    • Provide tools for conducting supply chain cost analysis to identify optimization opportunities.
    • Teach methods for analyzing supply chain performance using key performance indicators (KPIs).
    • Discuss emerging trends and technologies shaping the future of supply chain analytics.
    • Enable participants to make data-driven business decisions using supply chain analysis.

M-1: Introduction to Supply Chain Analytics

M-2: Basic about Data & Analytics

M-3: The Four Types of Supply Chain Analytics

M-4: Demand Analytics & its uses

M-5: Impact of Supply Chain Analytics on the ESG Agenda

M-6: Supply Chain Modelling

M-7: Supply Chain Cost Analysis

M-8: Supply Chain Performance Analysis

M-9: The Future of Supply Chain Analytics

M-10: Business Decision through Supply Chain Analysis

Pre-Course Assignment

CSCA-Capstone Project

    • 10 Practical Focus Module
    • 4 Reference Book
    • Post Completion:
      • Electronic Certificate
      • Digital Badge via Credly.com
      • Printed Certificate available
  • Data Literacy

    Understanding data types, structures, and tools used in supply chain analytics.

    Analytical Thinking

    Ability to apply descriptive, diagnostic, predictive, and prescriptive analytics to supply chain problems.

    Demand Forecasting

    Proficiency in leveraging analytics to predict and manage customer demand.

    Cost Optimization

    Skills to analyze and reduce costs across the supply chain.

    Performance Measurement

    Expertise in assessing supply chain performance using data-driven metrics and KPIs.

    Sustainability Integration

    Knowledge of how analytics can support ESG initiatives in supply chain management.

    Technological Adaptability

    Familiarity with modern tools and platforms for supply chain analytics, including AI and machine learning.

    Strategic Decision-Making

    Capability to use analytical insights for making informed and impactful business decisions.

    Upon completion of the CSCA program, participants will:

    • Understand the role and value of analytics in supply chain management.
    • Identify and utilize various types of supply chain analytics to solve business challenges.
    • Apply demand analytics techniques to improve forecasting accuracy and inventory management.
    • Analyze the relationship between supply chain analytics and ESG goals.
    • Develop and interpret supply chain models to optimize processes and operations.
    • Perform detailed cost analyses to identify and mitigate inefficiencies.
    • Measure and evaluate supply chain performance using relevant metrics and KPIs.
    • Recognize and adapt to emerging trends in supply chain analytics.
    • Utilize advanced analytical tools and techniques to support strategic decision-making.
    • Transform supply chain data into actionable insights to improve overall business performance.
Features:

Features:
Duration: 4 Months
Short Video Materials: Yes
Mode of Learning: Self-Paced

Exam Method:

  • Number of Exams: 01
  • Number of Questions: 50 MCQ Questions + 5 Written Questions
  • Duration: 120 Minutes
  • Total Marks: 200
  • Pass Mark: 70%

Assignment: 

  • Total Assignments: 05
  • 01 Pre-Course Assignment (Learning Purpose)
  • 03 In-Course  Assignment
    • Total Marks: 100
    • Pass Mark: 70%
  • 01 Capstone Projects
    • Total Marks: 300
    • Pass Mark: 70%

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