Graduate Certificate in Business Predictive Statistics
-- ViewingNowThe Graduate Certificate in Business Predictive Statistics is a vital course designed to equip learners with essential skills in data analysis and predictive modeling. This program meets the growing industry demand for professionals who can leverage statistical techniques to make informed business decisions.
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⢠Foundations of Predictive Statistics: An introduction to predictive statistics, covering key concepts and techniques used in business predictive analytics.
⢠Data Mining and Preparation: Techniques for data mining and preparation, including data cleaning, transformation, and visualization for predictive modeling.
⢠Regression Analysis: In-depth study of regression techniques, including simple and multiple linear regression, logistic regression, and polynomial regression.
⢠Time Series Analysis: Study of time series analysis, including ARIMA models, exponential smoothing, and decomposition methods.
⢠Predictive Modeling Techniques: Exploration of various predictive modeling techniques, such as decision trees, random forests, and neural networks.
⢠Experimental Design and A/B Testing: Principles of experimental design and A/B testing, including hypothesis testing, confidence intervals, and power analysis.
⢠Big Data Analytics: Introduction to big data analytics, including tools and techniques for handling and analyzing large datasets.
⢠Predictive Analytics in Business: Application of predictive analytics in business, including use cases, best practices, and ethical considerations.
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