Overview
- Takes an example-driven approach to learning
- Has everything you need in terms of content and coding to gain fundamental data science skills
- A focused and easy-to-read fundamentals book
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Table of contents(6 chapters)
Keywords
About this book
The book is self-contained. All of the math, statistics, stochastic, and programming skills required to master the content are covered. In-depth knowledge of object-oriented programming isn’t required because complete examples are provided and explained.
Data Science Fundamentals with Python and MongoDB is an excellent starting point for those interested in pursuing a career in data science. Like any science, the fundamentals of data science are a prerequisite to competency. Without proficiency in mathematics, statistics, data manipulation, and coding, the path to success is “rocky” at best. The coding examples in this book are concise, accurate, and complete, and perfectly complement the data science concepts introduced.
What You'll Learn
- Prepare for a career in data science
- Work with complex data structures in Python
- Simulate with Monte Carlo and Stochastic algorithms
- Apply linear algebra using vectors and matrices
- Utilize complex algorithms such as gradient descent and principal component analysis
- Wrangle, cleanse, visualize, and problem solve with data
- Use MongoDB and JSON to work with data
Who This Book Is For
The novice yearning to break into the data science world, and the enthusiast looking to enrich, deepen, and develop data science skills through mastering the underlying fundamentalsthat are sometimes skipped over in the rush to be productive. Some knowledge of object-oriented programming will make learning easier.
Authors and Affiliations
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Apt 3, Logan, USA
David Paper
About the author
Bibliographic Information
Book Title: Data Science Fundamentals for Python and MongoDB
Authors: David Paper
DOI: https://doi.org/10.1007/978-1-4842-3597-3
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: David Paper 2018
Softcover ISBN: 978-1-4842-3596-6Published: 11 May 2018
eBook ISBN: 978-1-4842-3597-3Published: 10 May 2018
Edition Number: 1
Number of Pages: XIII, 214
Number of Illustrations: 117 b/w illustrations