From healthcare, we jump to finance. Scheduling was the task of deciding when things should happen, and we will get to the "decide when" part of finance in the next module. Before we can make decisions on financial matters, we first need to learn to interpret financial data. This module focuses on just that: time series analysis — how does data behave over time — and comparative analysis of two sets of data — do we gain any knowledge of one data set by studying another?
Another new flavor to this module is that we do not worth with simulated data. Instead, we download open datasets of historical records in CSV (comma-separated values) format which is a text file: each row is a record (moment in time) and each column is a measurement done at that moment. We practice these concepts through stock-price data, although the same approach would trivially generalize to weather data, for example.
This module will help you do the following:
A news article for pre-class reading.
After reading the article, write down a brief description of what you know about stock prices in terms of what and when gets reported and how to interpret such data when considering the purchase or sales of the stocks of a single company in particular.
After this module, you should be familiar with the following concepts:
Remember that you can always look concepts up in the glossary. Should anything be missing or insufficient, please report it.