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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ace-csca-certified-supply-chain-analysis-expert-now/
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课程名称：Ace CSCA认证供应链分析专家课程 课程概述： 欢迎参加《Ace CSCA认证供应链分析专家课程》，这是您掌握供应链分析、预测、优化和高级分析技术的全面指南。该课程专为希望提升技能、增强运营效率并提升职业前景的专业人士及有志成为供应链分析师的人士设计。您将踏上一个结构化的学习之旅，平衡理论基础与实践操作，使用行业标准工具进行实操。从理解基本的供应链功能到应用机器学习进行需求感知，您将获得可操作的洞察和经过验证的方法，以应对现实世界中的挑战。 课程包含五个章节和超过30节课程，您将探讨供应链基础知识、核心分析技术及先进工具与技术。每个模块包括视频讲座、真实案例研究、测验和可下载资源，以巩固学习和评估您的进展。您还将进行模拟行业情境的实践作业，确保能够应用概念以优化库存、设计网络和降低风险。 第一章介绍课程目标、结构及有效学习习惯的建议，以最大化您为CSCA认证考试的准备。第二章深入供应链基础知识，从供应商、制造商、分销商、零售商和客户的角色开始，解析材料、信息和财政流动的关键。您将学习关键成分，如采购策略、生产计划、库存管理基础、物流运作及卓越的客户服务。通过互动示例，您将看到这些功能如何相互连接并影响整体供应链绩效，为后续更深层次的分析工作奠定坚实基础。 第三章聚焦于对数据驱动的供应链决策至关重要的核心分析技术。您将掌握数据收集与管理，研究数据提取方法、数据仓库概念和ETL流程，以确保数据完整性。统计分析模块涵盖描述性统计、概率分布、假设检验和方差分析，使您能够自信地解读趋势和异常。深入学习先进的预测模型，包括时间序列方法、指数平滑、回归及克罗斯顿方法等专门方法。库存优化课程将引导您学习经济订购量（EOQ）、安全库存、再订货点计算和新店主模型。其他会话内容涉及网络设计、线性规划、FMEA和蒙特卡洛模拟的风险分析，以及精益六西格玛整合，以锐化您的供应链卓越分析工具包。 第四章介绍实施供应链分析所需的工具与技术。您将深化对Excel的使用，掌握高级函数、数据透视表、求解器及基本VBA宏，并了解SAP和Oracle等ERP和APS系统在采购、生产计划和库存控制中的应用。可视化模块将教您如何使用Power BI和Tableau构建动态仪表板，以跟踪关键绩效指标（KPI）。您还将学习使用Python和R库（如pandas、NumPy、SciPy）进行高级分析，并掌握机器学习框架进行需求预测、聚类和异常检测。新兴技术课程涵盖区块链和物联网在透明度和可追溯性方面的应用。 第五章总结变更管理策略、利益相关者参与最佳实践，以及持续成长和认证准备的下一步。 请注意：该课程是基于公开信息的准备资源，并不是官方的CSCA认证准备程序，也没有与考试供应商关联。其旨在支持您的学习旅程和职业发展。
Welcome to Ace CSCA Certified Supply Chain Analysis Expert Now, your comprehensive guide to mastering supply chain analysis, forecasting, optimization and advanced analytics techniques. This course is designed for professionals and aspiring supply chain analysts who want to elevate their skills, enhance operational efficiency, and boost their career prospects. You will embark on a structured learning journey that balances theoretical foundations with practical, hands-on exercises using industry-standard tools. From understanding basic supply chain functions to applying machine learning for demand sensing, you will gain actionable insights and proven methodologies to tackle real-world challenges.Throughout the five chapters and over 30 lessons, you will explore supply chain fundamentals, core analytical techniques, and advanced tools and technologies. Each module includes video lectures, real-life case studies, quizzes, and downloadable resources to reinforce learning and assess your progress. You will also work on practical assignments that simulate industry scenarios, ensuring you can apply concepts to optimize inventory, design networks, and mitigate risks.In Chapter 1, we introduce the course objectives, structure, and tips for effective study habits to maximize your preparation for the CSCA certification exam. Chapter 2 delves into supply chain fundamentals, beginning with the roles of suppliers, manufacturers, distributors, retailers, and customers, and the critical flows of materials, information, and finances. You will learn key components such as procurement strategies, production planning, inventory management fundamentals, logistics operations, and customer service excellence. Through interactive examples, you will see how these functions interconnect and influence overall supply chain performance, laying a solid foundation for deeper analytical work.Chapter 3 focuses on core analytical techniques essential for data-driven supply chain decision-making. You will master data collection and management, exploring data extraction methods, warehousing concepts, and ETL processes to ensure data integrity. Statistical analysis lessons cover descriptive statistics, probability distributions, hypothesis testing, and variance analysis, enabling you to interpret trends and anomalies confidently. Dive into advanced forecasting models, including time series methods, exponential smoothing, regression, and specialized approaches like Croston's method. Inventory optimization lessons will guide you through EOQ, safety stock, reorder point calculations, and the Newsvendor model. Additional sessions on network design, linear programming, risk analysis with FMEA and Monte Carlo simulations, and Lean Six Sigma integration will sharpen your analytical toolkit for supply chain excellence.Chapter 4 introduces the tools and technology you need to implement supply chain analytics effectively. You will deepen your Excel skills with advanced functions, PivotTables, Solver, and basic VBA macros, and gain an understanding of ERP and APS systems like SAP and Oracle for procurement, production planning, and inventory control. Visualization modules will teach you to build dynamic dashboards with Power BI and Tableau to track critical KPIs. You will also learn advanced analytics using Python and R libraries such as pandas, NumPy, SciPy, and machine learning frameworks for demand forecasting, clustering, and anomaly detection. Emerging technology lessons cover blockchain and IoT applications for transparency and traceability. Chapter 5 wraps up with change management strategies, stakeholder engagement best practices, and next steps for continuous growth and certification readiness.Please note: This course is a preparatory resource based on publicly available information and is not an official CSCA certification preparation program nor affiliated with the exam vendor. It is intended to support your learning journey and professional development.
