Certificate in Predictive Analytics Techniques
-- ViewingNowThe Certificate in Predictive Analytics Techniques is a comprehensive course designed to equip learners with essential skills in predictive analytics. This program focuses on teaching advanced techniques for data mining, statistical analysis, and predictive modeling to help organizations make data-driven decisions.
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⢠Introduction to Predictive Analytics: Overview of predictive analytics, its applications, and benefits. Understanding the data mining process, predictive modeling, and model evaluation.
⢠Data Preparation for Predictive Modeling: Data collection, cleaning, and preprocessing techniques. Feature selection, transformation, and engineering.
⢠Regression Techniques in Predictive Analytics: Simple and multiple linear regression, logistic regression, and regularization techniques.
⢠Time Series Analysis and Forecasting: ARIMA, exponential smoothing, and state space models. Seasonality, trend, and irregularity in time series data.
⢠Machine Learning Algorithms for Predictive Analytics: Decision trees, random forests, support vector machines, and ensemble methods.
⢠Deep Learning for Predictive Analytics: Neural networks, convolutional neural networks, recurrent neural networks, and long short-term memory models.
⢠Natural Language Processing for Predictive Analytics: Text preprocessing, sentiment analysis, topic modeling, and word embeddings.
⢠Evaluation Metrics for Predictive Analytics: Accuracy, precision, recall, F1 score, ROC curve, and lift curve. Model selection and validation techniques.
⢠Ethics and Privacy in Predictive Analytics: Bias, fairness, transparency, and privacy concerns in predictive analytics.
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