ABSTRACT
Data Science is the field of study combining programming, statistics, mathematics and domain expertise to work with data. Note that Data Science also encompasses machine learning and deep learning, which are covered in the last part of the book. The reader is first introduced to the Pandas library for working with data frames, then optimization problems are introduced for linear programming, and in the third section, k-means clustering is covered as a form of unsupervised learning. The final section covers classification decision trees for making predictions on data, and there is an example of a regression decision tree in the exercises at the end of the chapter.
