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Data Science Fundamentals for Python and MongoDB (Paperback, 1st ed.)
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Data Science Fundamentals for Python and MongoDB (Paperback, 1st ed.)
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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.
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