Learn the core techniques necessary to extract meaningful insights from time series 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.
Become an expert in fitting ARIMA (autoregressive integrated moving average) models to time series data using R.
This course was designed to get you up to speed with the most important and powerful methodologies in statistics.
Learn how to use graphical and numerical techniques to begin uncovering the structure of your data.
Learn the practice of drawing conclusions about a population from a sample of data, a process known as statistical inference.
Learn how to access financial data from local files as well as from internet sources.
Learn about how dates work in R, and explore the world of if statements, loops, and functions. You'll practice this knowledge u...