An Introduction to Data Science With Python

Name: An Introduction to Data Science With Python
Brand: SAGE PUBLICATIONS INC
Price: 192.25 AUD
Availability: BackOrder

By: Jeffrey S. Saltz, Jeffrey Morgan Stanton

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Paperback | 13 December 2024

At a Glance

Paperback
312 Pages

Dimensions(cm)
23.1 x 18.7 x 1.91

Paperback

RRP $198.00

$192.25

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An Introduction to Data Science with Python by Jeffrey S. Saltz and Jeffery M. Stanton provides readers who are new to Python and data science with a step-by-step walkthrough of the tools and techniques used to analyze data and generate predictive models. After introducing the basic concepts of data science, the book builds on these foundations to explain data science techniques using Python-based Jupyter Notebooks. The techniques include making tables and data frames, computing statistics, managing data, creating data visualizations, and building machine learning models. Each chapter breaks down the process into simple steps and components so students with no more than a high school algebra background will still find the concepts and code intelligible. Explanations are reinforced with linked practice questions throughout to check reader understanding. The book also covers advanced topics such as neural networks and deep learning, the basis of many recent and startling advances in machine learning and artificial intelligence. With their trademark humor and clear explanations, Saltz and Stanton provide a gentle introduction to this powerful data science tool.

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Industry Reviews

"Easy to understand, useful, practical." -- Yi Liu "I have not come across another similar book on Python. The content, structure, and writing style of this book are all quite unique because it is about Python." -- Minjuan Wang "A book focused on providing an introduction to data science with a breadth of topics that might stir up interest in further exploration." -- John Bono "Useful, direct text for teaching data analysis using Python." -- James N. Maples "This book could expand our students' knowledge base and help them build new data analysis skills." -- Miao Guo

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