Professional Certificate Predictive Analytics in Distribution
-- ViewingNowThe Professional Certificate Program in Predictive Analytics in Distribution is a comprehensive course designed to equip learners with essential skills in data analysis, predictive modeling, and strategic decision-making. This program is critical for professionals seeking to advance their careers in distribution, logistics, supply chain management, and related fields.
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โข Introduction to Predictive Analytics: Fundamentals of predictive analytics, data mining, machine learning, and statistical modeling
โข Data Preparation for Predictive Analytics: Data cleaning, preprocessing, and feature engineering
โข Exploratory Data Analysis: Data visualization, summary statistics, and understanding data distributions
โข Regression Analysis: Simple and multiple linear regression, logistic regression, and regularization techniques
โข Time Series Analysis: Autoregressive (AR), moving average (MA), and autoregressive moving average (ARMA) models
โข Classification Techniques: Decision trees, random forests, support vector machines, and k-nearest neighbors
โข Unsupervised Learning: Clustering methods, dimensionality reduction, and anomaly detection
โข Deep Learning for Predictive Analytics: Neural networks, convolutional neural networks (CNN), recurrent neural networks (RNN), and long short-term memory (LSTM) networks
โข Evaluation Metrics: Model performance, error estimation, bias-variance trade-off, and cross-validation
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