Description
Book Synopsis: 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.
Details
Unlock the power of data with Python for Data Science: A Hands-On Introduction. Whether you're a beginner or an experienced data analyst, this book will take you on a practical journey to master data analysis with the Python programming language. With a hands-on approach and real-world examples, you'll learn how to access, manipulate, and uncover valuable insights from data of all kinds.
Python is the perfect tool for data analysis, and this book will introduce you to its vast capabilities. Dive into Python's built-in data structures and powerful open-source libraries such as NumPy, pandas, scikit-learn, and matplotlib to perform various data processing tasks. With Python for Data Science, you can unleash your analytical skills and gain a competitive edge in business management, marketing, and decision support.
Discover how to load data in different formats and efficiently transform and analyze it. Learn how to streamline, group, and aggregate datasets to extract meaningful patterns and trends. Visualize your findings with stunning charts, maps, and other visualizations to effectively communicate insights. But that's not all - this book goes beyond the basics to showcase real-world applications of data analysis, including using location data to optimize a taxi service, performing market basket analysis to identify customer behavior, and even predicting stock prices with machine learning.
Don't miss out on this opportunity to become a proficient data analyst with Python. Take your data analysis skills to the next level and make data-driven decisions that propel your business forward. Get your copy of Python for Data Science: A Hands-On Introduction today!
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