Practical Data Science with Python 3 Synthesizing Actionable Insights from Data /

• Main Author: Varga, Ervin (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berkeley, CA : Apress : Imprint: Apress, 2019.
• Edition: 1st ed. 2019.
• Subjects: Python (Computer program language).; Big data.; Open source software.; Computer programming.; Python.; Big Data.; Open Source.

Gain insight into essential data science skills in a holistic manner using data engineering and associated scalable computational methods. This book covers the most popular Python 3 frameworks for both local and distributed (in premise and cloud based) processing. Along the way, you will be introduc...

Table of Contents:

• Chapter 1.Introduction to Data Science
• Chapter 2.Data Acquisition
• Chapter 3.Basic Data Processing
• Chapter 4.Documenting Work
• Chapter 5.Transformation and Packaging of Data
• Chapter 6.Visualization
• Chapter 7.Prediction and Inference
• Chapter 8.Network Analysis
• Chapter 9.Data Science Process Engineering
• Chapter 10. Multi-agent Systems, Game Theory and Machine Learning
• Chapter 11. Probabilistic Graphical Models
• Chapter 12. Security in Data Science.