Undergraduate Certificate in Predictive Modelling and Visualization
-- ViewingNowThe Undergraduate Certificate in Predictive Modelling and Visualization is a comprehensive course that equips learners with essential skills in data analysis, predictive modeling, and visualization. This certificate program is critical in today's data-driven world, where businesses rely on data to make informed decisions.
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⢠Introduction to Predictive Modeling · Overview of predictive modeling, its applications, and the statistical & machine learning techniques used in predictive modeling.
⢠Data Preparation for Predictive Modeling · Data cleaning, preprocessing, and feature engineering for predictive modeling.
⢠Regression Analysis · Simple and multiple linear regression, logistic regression, and their applications in predictive modeling.
⢠Time Series Analysis · Autoregressive, moving average, and ARIMA models, and their applications in predictive modeling.
⢠Decision Trees · Decision tree construction, pruning, and their applications in predictive modeling.
⢠Random Forests · Ensemble learning, bagging, and random forests, and their applications in predictive modeling.
⢠Neural Networks · Introduction to artificial neural networks, deep learning, and their applications in predictive modeling.
⢠Model Evaluation · Model accuracy, precision, recall, ROC curves, and other evaluation metrics.
⢠Visualization in Predictive Modeling · Data and model visualization techniques for effective communication of results.
⢠Ethics in Predictive Modeling · Ethical considerations and implications of predictive modeling, including issues related to bias, privacy, and fairness.
Note: The above list of units is not exhaustive and can be customized based on the specific needs and goals of the undergraduate certificate program. Other relevant topics could include Natural Language Processing, Support Vector Machines, Cluster Analysis, Principal Component Analysis, etc.
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