Section 3:Data Processing, Analysis, and Applications Using Computational Thinking and Python

Data is all around us. We use data to inform decisions about policies, such as how many resources are provided for a school district, how large the budget for a county or state's Medicare program will be, how much we pay for housing in an area, and the trends of the real estate market. Data is embedded in the way that we interact with advertisements too. Simply put, understanding more about data and how to use Python to analyze this data is a really important skillset.

In this section, you will be introduced to advanced functionalities of the Python programming language associated with data analysis and other applications, such as cryptography, experimental data, data mining, and machine learning. We will use computational thinking to design solutions and algorithms for many real-world, applied problems, from those in language and historical analysis to some machine learning...