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Common Data Sense for Professionals - A Process-Oriented Approach for Data-Science Projects (Paperback)
Loot Price: R507
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Common Data Sense for Professionals - A Process-Oriented Approach for Data-Science Projects (Paperback)
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List price R731
Loot Price R507
Discovery Miles 5 070
You Save R224 (31%)
Expected to ship within 9 - 15 working days
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Data is an intrinsic part of our daily lives. Everything we do is a
data point. Many of these data points are recorded with the intent
to help us lead more efficient lives. We have apps that track our
workouts, sleep, food intake, and personal finance. We use the data
to make changes to our lives based on goals we have set for
ourselves. Businesses use vast collections of data to determine
strategy and marketing. Data scientists take data, analyze it, and
create models to help solve problems. You may have heard of
companies having data management teams or chief information
officers (CIOs) or chief data officers (CDOs), etc. They are all
people who work with data, but their function is more related to
vetting data and preparing it for use by data scientists. The jump
from personal data usage for self-betterment to mass data analysis
for business process improvement often feels bigger to us than it
is. In turn, we often think big data analysis requires tools held
only by advanced degree holders. Although advanced degrees are
certainly valuable, this book illustrates how it is not a
requirement to adequately run a data science project. Because we
are all already data users, with some simple strategies and
exposure to basic analytical software programs, anyone who has the
proper tools and determination can solve data science problems. The
process presented in this book will help empower individuals to
work on and solve data-related challenges. The goal of this book is
to provide a step-by-step guide to the data science process so that
you can feel confident in leading your own data science project. To
aid with clarity and understanding, the author presents a fictional
restaurant chain to use as a case study, illustrating how the
various topics discussed can be applied. Essentially, this book
helps traditional businesspeople solve data-related problems on
their own without any hesitation or fear. The powerful methods are
presented in the form of conversations, examples, and case studies.
The conversational style is engaging and provides clarity.
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