Learn Data Science Using Python: A Quick-Start Guide
Fouda, Engy
- 出版商: Apress
- 出版日期: 2024-11-16
- 售價: $2,380
- 貴賓價: 9.5 折 $2,261
- 語言: 英文
- 頁數: 180
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9798868809347
- ISBN-13: 9798868809347
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相關分類:
Python、程式語言、Data Science
海外代購書籍(需單獨結帳)
相關主題
商品描述
Harness the capabilities of Python and gain the expertise need to master data science techniques. This step-by-step book guides you through using Python to achieve tasks related to data cleaning, statistics, and visualization.
You'll start by reviewing the foundational aspects of the data science process. This includes an extensive overview of research points and practical applications, such as the insightful analysis of presidential elections. The journey continues by navigating through installation procedures and providing valuable insights into Python, data types, typecasting, and essential libraries like Pandas and NumPy. You'll then delve into the captivating world of data visualization. Concepts such as scatter plots, histograms, and bubble charts come alive through detailed discussions and practical code examples, unraveling the complexities of creating compelling visualizations for enhanced data understanding.
Statistical analysis, linear models, and advanced data preprocessing techniques are also discussed before moving on to preparing data for analysis, including renaming variables, variable rearrangement, and conditional statements. Finally, you'll be introduced to regression techniques, demystifying the intricacies of simple and multiple linear regression, as well as logistic regression.
What You'll Learn
- Understand installation procedures and valuable insights into Python, data types, typecasting
- Examine the fundamental statistical analysis required in most data science and analytics reports
- Clean the most common data set problems
- Use linear progression for data prediction
Who This Book Is For
Data Analysts, data scientists, Python programmers, and software developers new to data science.
商品描述(中文翻譯)
掌握 Python 的能力，獲得精通數據科學技術所需的專業知識。本書逐步指導您使用 Python 完成與數據清理、統計和可視化相關的任務。
您將從回顧數據科學過程的基礎方面開始。這包括對研究要點和實際應用的廣泛概述，例如對總統選舉的深刻分析。接下來的旅程將引導您了解安裝程序，並提供有關 Python、數據類型、類型轉換以及 Pandas 和 NumPy 等基本庫的寶貴見解。然後，您將深入迷人的數據可視化世界。散點圖、直方圖和氣泡圖等概念將通過詳細的討論和實用的代碼示例變得生動，揭示創建引人注目的可視化以增強數據理解的複雜性。
在進入數據分析的準備階段之前，還將討論統計分析、線性模型和高級數據預處理技術，包括重新命名變數、變數重排和條件語句。最後，您將接觸到回歸技術，揭開簡單和多重線性回歸以及邏輯回歸的複雜性。
您將學到的內容：
- 理解安裝程序及有關 Python、數據類型、類型轉換的寶貴見解
- 檢視大多數數據科學和分析報告所需的基本統計分析
- 清理最常見的數據集問題
- 使用線性回歸進行數據預測
本書適合對象：
數據分析師、數據科學家、Python 程式設計師以及對數據科學感興趣的軟體開發人員。
作者簡介
Engy Fouda is an adjunct lecturer at SUNY New Paltz teaching Intro to Data Science using SAS Studio and Introduction to Machine Learning using Python. She is an Apress and Packt Publishing author. Currently, she teaches SAS Fundamentals, Intermediate SAS, Advanced SAS, SAS SQL, Introduction to Python, Python for Data Science, Docker Fundamentals, Docker Enterprise for Developers, Docker Enterprise for Operations, Kubernetes, and DCA and SAS exams test-prep courses tracks at several venues as a freelance instructor.
She also works as a freelance writer for Geek Culture, Towards Data Science, and Medium Partner Program. She holds two master's degrees: one in journalism from Harvard University, the Extension School, and the other in computer engineering from Cairo University. Moreover, she earned a Data Science Graduate Professional Certificate from Harvard University, the Extension School. She volunteers as the board chair of Egypt Scholars Inc., also volunteers in the executive team and Momken Group (Engineering for the Blind). She is the author of the book Learn Data Science Using SAS Studio by Apress and the co-author of The Docker Workshop published by Packt Publishing.
作者簡介(中文翻譯)
Engy Fouda 是 SUNY New Paltz 的兼任講師，教授使用 SAS Studio 的資料科學入門課程及使用 Python 的機器學習入門課程。她是 Apress 和 Packt Publishing 的作者。目前，她作為自由講師教授 SAS 基礎、進階 SAS、高級 SAS、SAS SQL、Python 入門、Python 資料科學、Docker 基礎、Docker 企業開發者、Docker 企業運營、Kubernetes，以及 DCA 和 SAS 考試準備課程，並在多個場地授課。
她同時也是 Geek Culture、Towards Data Science 和 Medium Partner Program 的自由撰稿人。她擁有兩個碩士學位：一個是哈佛大學延伸學院的新聞學碩士，另一個是開羅大學的計算機工程碩士。此外，她還獲得了哈佛大學延伸學院的資料科學研究生專業證書。她擔任 Egypt Scholars Inc. 的董事會主席，並在執行團隊和 Momken Group（盲人工程）中擔任志工。她是 Apress 出版的書籍《Learn Data Science Using SAS Studio》的作者，也是 Packt Publishing 出版的《The Docker Workshop》的共同作者。
