Graduate Certificate in Predictive Analytics using Econometrics with R
-- ViewingNowGraduate Certificate in Predictive Analytics using Econometrics with R: In an era driven by data, this certificate course is essential for professionals seeking to advance their skills in predictive analytics. The course focuses on econometrics and the R programming language, providing a robust foundation in statistical analysis and modeling.
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โข Unit 1: Introduction to Predictive Analytics & Econometrics with R – Covering fundamentals of predictive analytics, econometrics, and R programming for data analysis.
โข Unit 2: Data Preprocessing in R – Focusing on data cleaning, transformation, and visualization techniques using R packages.
โข Unit 3: Regression Analysis using Econometrics & R – Delving into various regression models and their implementation in R for predictive analytics.
โข Unit 4: Time Series Analysis with Econometrics & R – Exploring time series analysis methods, including ARIMA and GARCH models, using R.
โข Unit 5: Machine Learning Algorithms in R – Discussing popular machine learning algorithms, such as decision trees, random forests, and neural networks, for predictive modeling.
โข Unit 6: Model Evaluation & Selection in R – Focusing on techniques for evaluating predictive models, including cross-validation, AIC, and BIC.
โข Unit 7: Advanced Econometric Techniques & R – Diving into panel data analysis, limited dependent variable models, and generalized method of moments in R.
โข Unit 8: Big Data Analytics using R & Hadoop – Introducing big data analytics tools like Hadoop and Spark, and their integration with R for large-scale predictive modeling.
โข Unit 9: Forecasting & Simulation in R – Demonstrating techniques for forecasting future trends and conducting Monte Carlo simulations in R.
โข Unit 10: Ethical Considerations in Predictive Analytics & Econometrics – Examining ethical issues in predictive analytics, such as data privacy and model transparency, and their implications in econometrics.
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