Lesson III : Data Analysis

Data science relies on complex algorithms for building predictions and spotting important signals in data, and each algorithm presents different strong and weak points. In short, you select a range of algorithms, you have them run on the data, you optimize their parameters as much as you can, and finally decide which one will best help you build your data product or generate insight into your problem.

In this lesson, you will discover some basic descriptions of the data and see how those descriptions can help you decide how to proceed using the most appropriate data transformation and solutions.