Professional Certificate in Inventory Forecasting with Machine Learning
-- ViewingNowThe Professional Certificate in Inventory Forecasting with Machine Learning is a comprehensive course that equips learners with essential skills in demand by the industry. With the increasing reliance on data-driven decision-making, this course is crucial for professionals seeking to advance their careers in supply chain management, operations, and analytics.
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⢠Introduction to Inventory Forecasting: Basics of inventory forecasting, its importance, and challenges
⢠Data Analysis for Inventory Forecasting: Data preprocessing, exploratory data analysis, and data visualization
⢠Time Series Analysis: Autoregressive (AR), moving average (MA), and autoregressive moving average (ARIMA) models
⢠Machine Learning Techniques for Inventory Forecasting: Regression, decision trees, random forests, and neural networks
⢠Prophet: Automated Forecasting with Machine Learning: Overview and hands-on with Facebook's Prophet library
⢠Deep Learning for Inventory Forecasting: Long Short-Term Memory (LSTM) networks, Gated Recurrent Units (GRU), and Encoder-Decoder architectures
⢠Model Evaluation and Selection: Performance metrics, cross-validation, and model selection techniques
⢠Seasonality and Trend Analysis: Identifying and incorporating seasonality and trend components in inventory forecasting
⢠Implementing Inventory Forecasting Systems: Integrating forecasting models with inventory management systems
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