Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
SQL for Data Analytics, Third Edition ( sách gia công)
Thể loại:Computers - Databases
Năm:2022
In lần thứ:3
Nhà xuát bản:Packt Publishing
Ngôn ngữ:english
Trang:540
Take your first steps to becoming a fully qualified data analyst by learning how to explore complex datasets.
Every
day, businesses operate around the clock, and a huge amount of data is
generated at a rapid pace. This book helps you analyze this data and
identify key patterns and behaviors that can help you and your business
understand your customers at a deep, fundamental level.
SQL for Data
Analytics, Third Edition is a great way to get started with data
analysis, showing how to effectively sort and process information from
raw data, even without any prior experience.
You will begin by
learning how to form hypotheses and generate descriptive statistics that
can provide key insights into your existing data. As you progress, you
will learn how to write SQL queries to aggregate, calculate, and combine
SQL data from sources outside of your current dataset. You will also
discover how to work with advanced data types, like JSON. Finally, the
book lets you in on the secret to getting information faster and more
effectively by using advanced techniques like profiling and automation.
By
the end of this book, you will be proficient in the efficient
application of SQL techniques in everyday business scenarios and looking
at data with the critical eye of analytics professional.
Key Features:
✓ Master each concept through practical exercises and activities
✓ Discover various statistical techniques to analyze your data
✓ Implement everything you’ve learned on a real-world case study to uncover valuable insights
Who this book is for:
If
you're a database engineer looking to transition into analytics or a
backend engineer who wants to develop a deeper understanding of
production data and gain practical SQL knowledge, you will find this
book useful. This book is also ideal for data scientists or business
analysts who want to improve their data analytics skills using SQL.
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