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SQL for Data Scientists - A Beginner's Guide for Building Datasets for Analysis (Paperback)
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SQL for Data Scientists - A Beginner's Guide for Building Datasets for Analysis (Paperback)
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Jump-start your career as a data scientist--learn to develop
datasets for exploration, analysis, and machine learning SQL for
Data Scientists: A Beginner's Guide for Building Datasets for
Analysis is a resource that's dedicated to the Structured Query
Language (SQL) and dataset design skills that data scientists use
most. Aspiring data scientists will learn how to how to construct
datasets for exploration, analysis, and machine learning. You can
also discover how to approach query design and develop SQL code to
extract data insights while avoiding common pitfalls. You may be
one of many people who are entering the field of Data Science from
a range of professions and educational backgrounds, such as
business analytics, social science, physics, economics, and
computer science. Like many of them, you may have conducted
analyses using spreadsheets as data sources, but never retrieved
and engineered datasets from a relational database using SQL, which
is a programming language designed for managing databases and
extracting data. This guide for data scientists differs from other
instructional guides on the subject. It doesn't cover SQL broadly.
Instead, you'll learn the subset of SQL skills that data analysts
and data scientists use frequently. You'll also gain practical
advice and direction on "how to think about constructing your
dataset." Gain an understanding of relational database structure,
query design, and SQL syntax Develop queries to construct datasets
for use in applications like interactive reports and machine
learning algorithms Review strategies and approaches so you can
design analytical datasets Practice your techniques with the
provided database and SQL code In this book, author Renee Teate
shares knowledge gained during a 15-year career working with data,
in roles ranging from database developer to data analyst to data
scientist. She guides you through SQL code and dataset design
concepts from an industry practitioner's perspective, moving your
data scientist career forward!
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