Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud

10.16 Intro to Data Science: Time Series and Simple Linear Regression

We’ve looked at sequences, such as lists, tuples and arrays. In this section, we’ll discuss time series, which are sequences of values (called observations) associated with points in time. Some examples are daily closing stock prices, hourly temperature readings, the changing positions of a plane in flight, annual crop yields and quarterly company profits. Perhaps the ultimate time series is the stream of time-stamped tweets coming from Twitter users worldwide. In the “Data Mining Twitter” chapter, we’ll study Twitter data in depth.

In this section, we’ll use a technique called simple linear regression to make predictions from time series data. We’ll use the 1895 through 2018 ...