Graduate Certificate in Predictive Analytics Technique
-- ViewingNowThe Graduate Certificate in Predictive Analytics Techniques is a comprehensive course that addresses the growing industry demand for professionals skilled in data analysis and forecasting. This program equips learners with essential skills to excel in predictive analytics, a critical area for making data-driven business decisions.
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โข Introduction to Predictive Analytics: Overview of predictive analytics techniques, applications, and benefits. Understanding the data mining process and predictive modeling.
โข Data Preparation for Predictive Modeling: Data preprocessing methods, including data cleaning, transformation, and feature engineering. Data normalization, outlier detection, and handling missing values.
โข Statistical Analysis and Probability: Descriptive and inferential statistics, probability distributions, and statistical tests for predictive analytics.
โข Machine Learning Algorithms: Regression models, decision trees, random forests, support vector machines, and ensemble methods. Model evaluation metrics and model selection techniques.
โข Time Series Analysis: Time series forecasting techniques, including ARIMA, exponential smoothing, and state-space models. Seasonality, trend, and cyclical patterns.
โข Natural Language Processing (NLP): Text preprocessing, sentiment analysis, and topic modeling. Word embeddings, text classification, and information retrieval.
โข Big Data Analytics: Distributed computing frameworks, scalable data processing, and parallel processing. Hadoop, Spark, and NoSQL databases.
โข Ethics and Privacy in Predictive Analytics: Ethical considerations, bias, discrimination, and privacy concerns in predictive analytics. Data protection and regulatory compliance.
โข Predictive Analytics Project Management: Project planning, data governance, and team management. Communicating results and managing stakeholder expectations.
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