Certificate in Predictive Analytics: Core Principles
-- ViewingNowThe Certificate in Predictive Analytics: Core Principles is a comprehensive course designed to equip learners with essential skills in predictive analytics. This course is crucial in today's data-driven world, where businesses rely heavily on data analysis to make informed decisions.
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⢠Introduction to Predictive Analytics: Defining predictive analytics, understanding its role in data-driven decision making, and exploring real-world applications.
⢠Data Preparation for Predictive Modeling: Data preprocessing, data cleansing, data transformation, and feature engineering.
⢠Statistical Foundations: Descriptive and inferential statistics, probability distributions, statistical inference, and hypothesis testing.
⢠Predictive Modeling Techniques: Regression analysis, decision trees, random forests, logistic regression, and ensemble methods.
⢠Time Series Analysis: Autoregressive (AR), moving average (MA), and autoregressive moving average (ARMA) models, seasonality, and forecasting.
⢠Machine Learning Algorithms: Supervised and unsupervised learning algorithms, model selection, and model evaluation.
⢠Data Visualization and Exploratory Data Analysis: Data storytelling, data visualization techniques, and visualization tools.
⢠Ethics in Predictive Analytics: Data privacy, data security, model transparency, and ethical considerations in predictive analytics.
⢠Communicating Predictive Analytics Results: Report writing, dashboard creation, and presenting predictive analytics results.
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