Data Science Fundamentals for Python and MongoDB

David Paper

ISBN 10: 1484235967 / ISBN 13: 9781484235966

Verlag: Apress 2018-05-11, 2018

Beschreibung

Bestandsnummer des Verkäufers 6666-IUK-9781484235966

Bibliografische Details

Titel: Data Science Fundamentals for Python and ...

Verlag: Apress 2018-05-11

Erscheinungsdatum: 2018

Einband: Paperback

Zustand: New

Über diesen Titel

Reseña del editor:

Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate. The book is a necessary precursor to applying and implementing machine learning algorithms. 
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 fundamentals that are sometimes skipped over in the rush to be productive. Some knowledge of object-oriented programming will make learning easier.