Book Image

SQL for Data Analytics

By : Upom Malik, Matt Goldwasser, Benjamin Johnston
3 (1)
Book Image

SQL for Data Analytics

3 (1)
By: Upom Malik, Matt Goldwasser, Benjamin Johnston

Overview of this book

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 the most effective business insights from data, this book is for you. SQL for Data Analytics helps you build the skills to move beyond basic SQL and instead learn to spot patterns and explain the logic hidden in data. You'll discover how to explore and understand data by identifying trends 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 learn how to increase your productivity with the help of profiling and automation. By the end of this book, you'll be able to use SQL in everyday business scenarios efficiently and look at data with the critical eye of an analytics professional. Please note: if you are having difficulty loading the sample datasets, there are new instructions uploaded to the GitHub repository. The link to the GitHub repository can be found in the book's preface.
Table of Contents (11 chapters)
9. Using SQL to Uncover the Truth – a Case Study

2. The Basics of SQL for Analytics

Activity 3: Querying the customers Table Using Basic Keywords in a SELECT Query


  1. Open your favorite SQL client and connect to the sqlda database. Examine the schema for the customers table from the schema dropdown. Notice the names of the columns, the same as we did in Exercise 6, Querying Salespeople, for the salespeople table.
  2. Execute the following query to fetch customers in the state of Florida in alphabetical order:
    SELECT email
    FROM customers
    WHERE state='FL'
    ORDER BY email

    The following is the output of the preceding code:

    Figure 2.13: Emails of customers from Florida in alphabetical order
  3. Execute the following query to pull all the first names, last names, and email addresses for ZoomZoom customers in New York City in the state of New York. The customers would be ordered alphabetically by the last name followed by the first name:
    SELECT first_name, last_name, email
    FROM customers
    WHERE city='New York City...