finelybook
SQL for Data Analytics: Perform fast and efficient data analysis with the power of SQL
Authors: Upom Malik - Matt Goldwasser - Benjamin Johnston
ISBN-10 书号: 1789807352
ISBN-13 书号: 9781789807356
Publisher Finelybook 出版日期: 2019-08-23
pages 页数: 386 pages
Book Description
Take your first steps to become a fully qualified data analyst by learning how to explore large relational datasets.
Understanding and finding patterns in data has become one of the most important ways to improve business decisions. If you know the basics of SQL,but don’t know how to use it to gain business insights from data,this book is for you.
SQL for Data Analytics covers everything you need progress from simply knowing basic SQL to telling stories and identifying trends in data. You’ll be able to start exploring your data by identifying patterns and unlocking deeper insights. You’ll also gain experience working with different types of data in SQL,including time-series,geospatial,and text data. Finally,you’ll understand how to become productive with SQL with the help of profiling and automation to gain insights faster.
By the end of the book,you’ll able to use SQL in everyday business scenarios efficiently and look at data with the critical eye of analytics professional.
What you will learn
Use SQL to summarize and identify patterns in data
Apply special SQL clauses and functions to generate descriptive statistics
Use SQL queries and subqueries to prepare data for analysis
Perform advanced statistical calculations using the window function
Analyze special data types in SQL,including geospatial data and time data
Import and export data using a text file and PostgreSQL
Debug queries that won’t run
Optimize queries to improve their performance for faster results
contents
1 Understanding and Describing Data
2 The Basics of SQL for Analytics
3 SQL for Data Preparation
4 Aggregate Functions for Data Analysis
5 Window Functions for Data Analysis
6 Importing and Exporting Data
7 Analytics Using Complex Data Types
8 Performant SQL
9 Using SQL to Uncover the Truth – a Case Study
