Certified Specialist Programme in Data Mining for Demand Forecasting
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课程详情
- Introduction to Demand Forecasting and Data Mining
- Data Preprocessing and Feature Engineering for Time Series Analysis
- Time Series Decomposition and Forecasting Methods (ARIMA, Exponential Smoothing)
- Regression Models for Demand Forecasting (Linear Regression, Multiple Regression)
- Machine Learning for Demand Forecasting (Random Forests, Gradient Boosting Machines)
- Evaluating Forecasting Accuracy (MAPE, RMSE, MAE)
- Data Visualization and Reporting for Demand Forecasting
- Case Studies in Demand Forecasting using Data Mining Techniques
- Advanced Forecasting Techniques (Neural Networks, Deep Learning)
- Demand Forecasting and Supply Chain Optimization
职业道路
Career Role Description Data Scientist (Demand Forecasting) Develops and implements advanced statistical models for accurate demand prediction, leveraging machine learning techniques and big data analysis for optimal inventory management and resource allocation.
A key role in maximizing profitability and minimizing waste.
Business Analyst (Forecasting & Analytics) Analyzes business data to identify trends and patterns, producing data-driven forecasts to inform strategic decision-making.
Uses data mining techniques to improve forecasting accuracy and business processes.
Demand Planning Specialist Responsible for the development and maintenance of demand forecasts, collaborating with sales, marketing, and operations to ensure alignment between supply and demand.
Uses data mining and forecasting tools to optimize inventory levels.
Data Mining Analyst (Predictive Modelling) Extracts insights from large datasets using advanced data mining techniques to build predictive models for demand forecasting.
Focuses on identifying hidden patterns and trends to enhance forecast accuracy.
入学要求
- 对主题的基本理解
- 英语语言能力
- 计算机和互联网访问
- 基本计算机技能
- 完成课程的奉献精神
无需事先的正式资格。课程设计注重可访问性。
课程状态
本课程为职业发展提供实用的知识和技能。它是：
- 未经认可机构认证
- 未经授权机构监管
- 对正式资格的补充
成功完成课程后，您将获得结业证书。
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