SQL for Data Analytics: Perform fast and efficient data analysis with the power of SQL (English Edition)

Take your first steps to become a fully qualified data analyst by learning how to explore large relational datasets.

Key Features

Explore a variety of statistical techniques to analyze your data

Integrate your SQL pipelines with other analytics technologies

Perform advanced analytics such as geospatial and text analysis

Book Description

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

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, 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. Knowledge of basic SQL and database concepts will aid in understanding the concepts covered in this book. Table of Contents

Understanding and Describing Data

The Basics of SQL for Analytics

SQL for Data Preparation

Aggregate Functions for Data Analysis

Window Functions for Data Analysis

Importing and Exporting Data

Analytics Using Complex Data Types

Performant SQL

Using SQL to Uncover the Truth - A Case Study

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