Sign up to save your library
With an OverDrive account, you can save your favorite libraries for at-a-glance information about availability. Find out more about OverDrive accounts.
Share
Find this title in Libby, the library reading app by OverDrive.
Search for a digital library with this title
Title found at these libraries:
| Loading... |
Use SQL to get the data you need in no time at all! Learn to read and write basic queries, troubleshoot common problems, and control your own business data in just 24 short lessons–no programming experience required!
SQL has been designed to be as close to English as possible—anyone can learn it! Learn SQL in a Month of Lunches helps you add this lucrative and highly sought-after skill to your resume in just 24 fun and friendly lessons. The book emphasizes practical uses for the language in the real-world, so you'll just learn the most useful skills for business data analysis.
Inside Learn SQL in a Month of Lunches you'll discover how to:
Set up your first database with MySQL
Write your own SQL queries
See only the data you need from large datasets
Connect different sets of data
Analyze data with functions and aggregations
Master basic data manipulation techniques
Save queries in stored procedures and views
Create tables to store data efficiently
Read and improve SQL written by others
If you use Excel, Tableau, or PowerBI to crunch business data, you've probably seen a lot of SQL already. And guess what? It's easy to master the most useful parts of SQL! In just a few quick lessons, Learn SQL in a Month of Lunches will get you writing your own queries, modifying existing SQL statements, and working with data like a pro. 25-year SQL veteran Jeff Iannucci makes SQL a snap through hands-on lab exercises, relevant code examples, and easy-to-understand language.
About the technology
SQL, Structured Query Language, is the standard way to query, create, and manage relational databases like SQL Server, PostgreSQL, and Oracle. It's also a superpower for data analysts who need to go beyond spreadsheets and BI dashboarding tools. SQL is easy to read and understand, and with this book (and a little practice) you'll be pulling data, tweaking tables, and cranking out amazing reports and presentations in no time at all!
About the book
Learn SQL in a Month of Lunches introduces SQL to data analysts and other aspiring data pros with no prior experience using relational databases. In it, you'll complete 24 short lessons, each of which teaches an essential SQL skill for retrieving, filtering, and analyzing data. You'll practice each new technique with a friendly hands-on lab designed to take about 15 minutes, as you learn to write queries that deliver the exact data you need. Along the way, you'll build a valuable intuition for how databases operate in real business scenarios.
What's inside
Get the data you need from any relational database
Filter, sort, and group data
Combine data from multiple tables
Create, update, and delete data
About the reader
For students, aspiring data analysts, software developers, and anyone else who wants to work with relational databases.
About the author
Jeff Iannucci is a Senior Consultant with Straight Path Solutions. For over 20 years, he has worked extensively with SQL in sectors such as healthcare, finance, retail sales, and government.
Table of Contents
1 Before you begin
2 Your first SQL query
3 Querying data
4 Sorting, skipping, and commenting data
5 Filtering on specific values
6 Filtering with multiple values, ranges, and exclusions
7 Filtering with wildcards and null values
8 Querying multiple tables
9 Using different kinds of joins
10 Combining queries with set operators
11 Using subqueries and logical...
SQL has been designed to be as close to English as possible—anyone can learn it! Learn SQL in a Month of Lunches helps you add this lucrative and highly sought-after skill to your resume in just 24 fun and friendly lessons. The book emphasizes practical uses for the language in the real-world, so you'll just learn the most useful skills for business data analysis.
Inside Learn SQL in a Month of Lunches you'll discover how to:
If you use Excel, Tableau, or PowerBI to crunch business data, you've probably seen a lot of SQL already. And guess what? It's easy to master the most useful parts of SQL! In just a few quick lessons, Learn SQL in a Month of Lunches will get you writing your own queries, modifying existing SQL statements, and working with data like a pro. 25-year SQL veteran Jeff Iannucci makes SQL a snap through hands-on lab exercises, relevant code examples, and easy-to-understand language.
About the technology
SQL, Structured Query Language, is the standard way to query, create, and manage relational databases like SQL Server, PostgreSQL, and Oracle. It's also a superpower for data analysts who need to go beyond spreadsheets and BI dashboarding tools. SQL is easy to read and understand, and with this book (and a little practice) you'll be pulling data, tweaking tables, and cranking out amazing reports and presentations in no time at all!
About the book
Learn SQL in a Month of Lunches introduces SQL to data analysts and other aspiring data pros with no prior experience using relational databases. In it, you'll complete 24 short lessons, each of which teaches an essential SQL skill for retrieving, filtering, and analyzing data. You'll practice each new technique with a friendly hands-on lab designed to take about 15 minutes, as you learn to write queries that deliver the exact data you need. Along the way, you'll build a valuable intuition for how databases operate in real business scenarios.
What's inside
About the reader
For students, aspiring data analysts, software developers, and anyone else who wants to work with relational databases.
About the author
Jeff Iannucci is a Senior Consultant with Straight Path Solutions. For over 20 years, he has worked extensively with SQL in sectors such as healthcare, finance, retail sales, and government.
Table of Contents
1 Before you begin
2 Your first SQL query
3 Querying data
4 Sorting, skipping, and commenting data
5 Filtering on specific values
6 Filtering with multiple values, ranges, and exclusions
7 Filtering with wildcards and null values
8 Querying multiple tables
9 Using different kinds of joins
10 Combining queries with set operators
11 Using subqueries and logical...
Share
