Learn the core techniques necessary to extract meaningful insights from time series data.
Build the foundation you need to think statistically and to speak the language of your data.
Learn the language of data, study types, sampling strategies, and experimental design.
Learn how to describe relationships between two numerical quantities and characterize these relationships graphically.
This course was designed to get you up to speed with the most important and powerful methodologies in statistics.
Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.
Learn to perform the two key tasks in statistical inference: parameter estimation and hypothesis testing.
Learn the practice of drawing conclusions about a population from a sample of data, a process known as statistical inference.
Learn how to pull character strings apart, put them back together and use the stringr package.
Learn how to access financial data from local files as well as from internet sources.