Summary
The following are some of the takeaways from this chapter:
- Social media and Internet of Things have resulted in an avalanche of data.
- Data is powerful but not in its raw form. The data needs to be processed and modelled.
- Organizations across the world and across the domains are using data to solve critical business problems. The knowledge of statistical algorithms, statisticals tool, business context, and handling of historical data is vital to solve these problems using predictive modelling.
- Python is a robust tool to handle, process, and model data. It has an array of packages for predictive modelling and a suite of IDEs to choose from.
Let us enter the battlefield where Python is our weapon. We will start using it from the next chapter. In the next chapter, we will learn how to read data in various cases and do a basic processing.
