Become a Python Data Analyst: Perform exploratory data analysis and gain insight into scientific computing using Python

Alvaro Fuentes

商品描述

Enhance your data analysis and predictive modeling skills using popular Python tools

Key Features

  • Cover all fundamental libraries for operation and manipulation of Python for data analysis
  • Implement real-world datasets to perform predictive analytics with Python
  • Access modern data analysis techniques and detailed code with scikit-learn and SciPy

Book Description

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.

What you will learn

  • Explore important Python libraries and learn to install Anaconda distribution
  • Understand the basics of NumPy
  • Produce informative and useful visualizations for analyzing data
  • Perform common statistical calculations
  • Build predictive models and understand the principles of predictive analytics

Who this book is for

Become a Python Data Analyst is for entry-level data analysts, data engineers, and BI professionals who want to make complete use of Python tools for performing efficient data analysis. Prior knowledge of Python programming is necessary to understand the concepts covered in this book

Table of Contents

  1. The Anaconda Distribution and Jupyter Notebook
  2. Vectorizing Operations with Numpy
  3. Pandas: Everyone's Favorite Data Analysis Library
  4. Visualization and Exploratory Data Analysis
  5. Statistical Computing with Python
  6. Introduction to Predictive Analytics Models

商品描述(中文翻譯)

增強您的數據分析和預測建模技能,使用流行的Python工具

主要特點:
- 涵蓋Python數據分析的所有基本庫,用於操作和處理數據
- 使用Python實現真實世界數據集進行預測分析
- 使用scikit-learn和SciPy訪問現代數據分析技術和詳細代碼

書籍描述:
Python是領先的數據分析師和統計學家首選的最常見和流行的語言之一,用於處理大型數據集和複雜數據可視化。

《成為Python數據分析師》介紹了Python最基本的工具和庫,這些工具和庫對於進行數據分析過程非常重要,從準備數據到執行簡單的統計分析和創建有意義的數據可視化。

在本書中,我們將涵蓋Python庫,如NumPy、pandas、matplotlib、seaborn、SciPy和scikit-learn,並將它們應用於實際的數據分析和統計示例。通過閱讀本書的章節,您將學習如何使用Jupyter Notebook高效地使用NumPy和pandas庫操作和處理數據。在結尾的章節中,您將獲得使用豐富的Python工具和經過驗證的數據分析技術構建簡單預測模型和進行統計計算和分析的經驗。

通過閱讀本書,您將具有使用Python進行數據分析的實踐經驗。

您將學到什麼:
- 探索重要的Python庫,並學習安裝Anaconda發行版
- 了解NumPy的基礎知識
- 生成信息豐富且有用的數據可視化
- 執行常見的統計計算
- 構建預測模型並了解預測分析的原則

本書適合對象:
《成為Python數據分析師》適用於初級數據分析師、數據工程師和商業智能專業人士,他們希望充分利用Python工具進行高效的數據分析。需要具備Python編程的基礎知識,以理解本書涵蓋的概念。

目錄:
1. Anaconda發行版和Jupyter Notebook
2. 使用NumPy進行向量化操作
3. Pandas:大家最喜歡的數據分析庫
4. 可視化和探索性數據分析
5. 使用Python進行統計計算
6. 預測分析模型簡介