 Takes an exampledriven approach to learning

Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This exampledriven 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 selfcontained. All of the math, statistics, stochastic, and programming skills required to master the content are covered. Indepth knowledge of objectoriented 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 objectoriented programming will make learning easier.
下载地址：Data Science Fundamentals for Python and MongoDB （访问密码：6531）