Python Data Science Essentials
A practitioner's guide covering essential data science principles, tools, and techniques
by Alberto Boschetti, Luca Massaron
3rd Edition
Publisher: Packt Publishing
Book Details
| Print ISBN | 9781789537864 |
| eText ISBN | 9781789531893 |
| Publisher | Packt Publishing |
| Publishing Year | 2018 |
| Edition | 3rd Edition |
| Language | English |
| Pages | 472 |
Python Data Science Essentials: A practitioner's guide covering essential data science principles, tools, and techniques, 3rd Edition, guides readers through foundational data science workflows in Python. Published in 2018, the book explains how to apply statistical methods and standard libraries to solve practical analytical challenges.
The text covers data collection, munging, analysis, visualization, and reporting. Working through detailed examples and large hybrid datasets, readers examine procedures for cleaning, manipulating, and modeling data before presenting results to both technical and business audiences.
Written for entry-level data scientists, data analysts, and data engineers, the material relies on basic familiarity with Python programming and probability or statistics to support study.
Table of Contents
Chapter 1: First Steps
Chapter 2: Data Munging
Chapter 3: The Data Pipeline
Chapter 4: Machine Learning
Chapter 5: Visualization, Insights, and Results
Chapter 6: Social Network Analysis
Chapter 7: Deep Learning Beyond the Basics
Chapter 8: Spark for Big Data
Chapter 9: Strengthen Your Python Foundations
Chapter 10: Other Books You May Enjoy
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