A hands-on real-world introduction to data analysis with the Python programming language
loaded with wide-ranging examples. Python is an ideal choice for accessing manipulating and
gaining insights from data of all kinds. Python for Data Science introduces you to the Pythonic
world of data analysis with a learn-by-doing approach rooted in practical examples and hands-on
activities. You’ll learn how to write Python code to obtain transform and analyze data
practicing state-of-the-art data processing techniques for use cases in business management
marketing and decision support. You will discover Python’s rich set of built-in data
structures for basic operations as well as its robust ecosystem of open-source libraries for
data science including NumPy pandas scikit-learn matplotlib and more. Examples show how to
load data in various formats how to streamline group and aggregate data sets and how to
create charts maps and other visualizations. Later chapters go in-depth with demonstrations
of real-world data applications including using location data to power a taxi service market
basket analysis to identify items commonly purchased together and machine learning to predict
stock prices.
