Undergraduate Certificate in Predictive Modelling in Business
-- ViewingNowThe Undergraduate Certificate in Predictive Modelling in Business is a comprehensive course designed to equip learners with the essential skills needed to analyze business data and forecast future trends. This certificate program emphasizes the importance of data-driven decision-making in modern business environments and provides hands-on experience with cutting-edge predictive modeling tools and techniques.
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⢠Introduction to Predictive Modeling: Fundamentals of predictive modeling, understanding data, and creating accurate models.
⢠Data Analysis for Predictive Modeling: Techniques for analyzing and visualizing data, including summary statistics, data distributions, and correlation analysis.
⢠Predictive Modeling Techniques: Overview of regression, decision trees, random forests, and neural networks, including their strengths and weaknesses.
⢠Model Evaluation: Methods for evaluating predictive models, including cross-validation, lift charts, and confusion matrices.
⢠Time Series Analysis: Techniques for analyzing and predicting time series data, including ARIMA and exponential smoothing.
⢠Natural Language Processing: Introduction to text data and techniques for processing and analyzing it, including tokenization, stemming, and sentiment analysis.
⢠Big Data and Predictive Modeling: Overview of big data, including Hadoop and Spark, and how to use it for predictive modeling.
⢠Ethics and Bias in Predictive Modeling: Discussion of ethical considerations and potential biases in predictive modeling, including fairness, accountability, and transparency.
⢠Predictive Modeling in Business: Real-world applications of predictive modeling in business, including customer segmentation, fraud detection, and demand forecasting.
⢠Capstone Project: Students will apply their knowledge of predictive modeling to a real-world business problem and present their findings.
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