Professional Certificate in Predictive Analytics: Forecasting Strategies
-- ViewingNowThe Professional Certificate in Predictive Analytics: Forecasting Strategies is a comprehensive course that equips learners with essential skills in predictive analytics and forecasting. This program is crucial in today's data-driven world, where businesses rely on accurate forecasts to make informed decisions.
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โข Introduction to Predictive Analytics: Defining predictive analytics, understanding its role in data-driven decision making, and exploring real-world applications.
โข Data Preprocessing for Predictive Analytics: Data cleaning, wrangling, and transformation techniques to prepare data for predictive modeling.
โข Statistical Foundations of Predictive Analytics: Review of fundamental statistical concepts, including probability distributions, regression analysis, and hypothesis testing.
โข Predictive Modeling Techniques: Overview of various predictive modeling techniques, including decision trees, random forests, and neural networks.
โข Time Series Analysis: Studying the patterns, trends, and seasonality in historical data to make accurate forecasts.
โข Regression Analysis in Predictive Analytics: Deep dive into various regression models, such as linear, polynomial, and logistic regression, to predict continuous and categorical outcomes.
โข Model Evaluation and Selection: Techniques for assessing the performance of predictive models, including cross-validation, lift curves, and ROC curves, and selecting the best-fit model.
โข Data Visualization in Predictive Analytics: Using effective data visualization to communicate predictive analytics results and insights.
โข Ethics in Predictive Analytics: Exploring ethical considerations in predictive analytics, including privacy, fairness, and transparency, and understanding the impact of predictive analytics on society.
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