Python is one of the most common and popular languages preferred by leading data analysts and statisticians for working with massive datasets and complex data visualizations.

Become a Python Data Analyst introduces Python’s most essential tools and libraries necessary to work with the data analysis process, right from preparing data to performing simple statistical analyses and creating meaningful data visualizations.

In this book, we will cover Python libraries such as NumPy, pandas, matplotlib, seaborn, SciPy, and scikit-learn, and apply them in practical data analysis and statistics examples. As you make your way through the chapters, you will learn to efficiently use the Jupyter Notebook to operate and manipulate data using NumPy and the pandas library. In the concluding chapters, you will gain experience in building simple predictive models and carrying out statistical computation and analysis using rich Python tools and proven data analysis techniques.

By the end of this book, you will have hands-on experience performing data analysis with Python.

Python是领先的数据分析师和统计学家在处理大量数据集和复杂的数据可视化时首选的最常见和最流行的语言之一。

成为一名Python数据分析师》介绍了Python最基本的工具和库，这些工具和库是在数据分析过程中所必需的，从准备数据到执行简单的统计分析，以及创建有意义的数据可视化。

在本书中，我们将介绍NumPy、pandas、matplotlib、seaborn、SciPy和scikit-learn等Python库，并在实际数据分析和统计实例中应用它们。当你通过这些章节时，你将学会有效地使用Jupyter笔记本，使用NumPy和pandas库来操作和处理数据。在最后几章中，你将获得建立简单预测模型的经验，并使用丰富的Python工具和成熟的数据分析技术进行统计计算和分析。

在本书结束时，你将拥有用Python进行数据分析的实践经验。