Python for Data Science

Python is the ideal choice for manipulating and extracting information from all kinds of data. "Python for Data Science" will introduce programmers to the Pythonic world of data analysis. You will learn to write code in Python using the most modern methods for obtaining, transforming, and analyzing data in business management, marketing, and decision-making support. Get acquainted with a rich set of built-in data structures in Python for performing basic operations, as well as a robust ecosystem of open-source libraries for data science, including NumPy, pandas, scikit-learn, matplotlib, and others. Learn to load data in various formats, sort, group, and aggregate datasets, as well as create graphs, maps, and other visualizations. Build real applications through detailed examples, including: a taxi service using geolocation, basket analysis to determine products that are commonly purchased together, and a machine learning model for predicting stock prices.