Diary of Advanced Quantitative Analysis: with Jupyter (using R)

In this book, we dive deeper into advanced data analysis techniques. The techniques we discuss emphasize big data analysis rather than smaller sample sizes. The topics encompass correlation, prediction, confidence intervals, and regression analysis. We also address operations research methods. Using real-world assumptions, you will learn: Big data modeling and predictive business analytics Compare sampled data vs. big data analysis through advanced data modeling techniques Perform regression analysis on a problem related to big data modeling Estimate confidence intervals with predictions via big data analytical modeling Formulate predictions based on data analysis and multivariate methods