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Judy Richardson

In this course you will be introduced to two methods of writing SQL queries that retrieve data from two or more tables. Since one of the functions of a database is to store data in an organized format, many databases are made up of multiple tables. Often, the data output required from the database is made up of data from more than one table. For example, the data that populates a student transcript might come from the Student, Course, and Section tables. While the Student table may provide the student’s name, the name and number of the course might come from the Course table and the specific grade for that course may come from yet another table. While writing SQL queries in SQLiteStudio, you'll learn the SQL syntax required to join tables together as you develop an understanding of how the relationships among tables come into play.

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In this course you will be introduced to two methods of writing SQL queries that retrieve data from two or more tables. Since one of the functions of a database is to store data in an organized format, many databases are made up of multiple tables. Often, the data output required from the database is made up of data from more than one table. For example, the data that populates a student transcript might come from the Student, Course, and Section tables. While the Student table may provide the student’s name, the name and number of the course might come from the Course table and the specific grade for that course may come from yet another table. While writing SQL queries in SQLiteStudio, you'll learn the SQL syntax required to join tables together as you develop an understanding of how the relationships among tables come into play.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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What's inside

Syllabus

Multiple-Table SQL Queries
In this course you will be introduced to two methods of writing an SQL query that retrieves data from two or more tables. Since one of the functions of a database is to store data in an organized format, many databases are made up of more than one table. Often, output from the database requires data from more than one table. For example, the output that populates a student transcript might come from the Student, Course, and Section tables. While the Student table may provide the student’s name, the name and number of the course might come from the Course table and the specific grade for that course may come from yet another table. Just as the entities (student, course, section) in a school are related, databases are very carefully designed so that the tables are all related through the use of common columns. As a query writer you will need to develop an understanding of table relationships and how they are represented in an SQL query. The SQLiteStudio platform will be used to provide you with hands-on experience writing queries that access rows and columns of data from two or more tables. In addition, you’ll be practicing many of the skills introduced in the Single-Table SQL Queries course.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches Multiple-Table SQL Queries, which is standard in industry
Develops Multiple-Table SQL Queries, which are core skills for data analysis
Taught by Judy Richardson, who is recognized for their work in data science
Part of a series of related courses, indicating comprehensiveness
Hands-on labs and interacive materials provide practical experience
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions

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Reviews summary

Understand data retrieval with sql

Learners say that this engaging course provides a strong foundation in using SQL to retrieve data from multiple tables. They find the explanations to be clear, the real-world examples helpful, and the instructor knowledgeable. While some wish the content was more comprehensive, overall, students find this course to be a valuable resource for learning how to use SQL to query data from multiple tables.
Course includes helpful real-world examples.
Course is interesting and engaging.
"Nice and to the point explanations of the joins mentioned. Good for beginners."
Explanations are easy to understand.
"Instructor presented material in a down to earth fashion which made the material easy to understand."
"easy to understand"
Course could be more comprehensive.
"But the content is half of the normal coursera projects."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Retrieve Data with Multiple-Table SQL Queries with these activities:
Review Database Design and Relational Theory: A Practical Guide for Developers and Database Administrators
Reviewing foundational database concepts will prepare you for the content of this course.
View Database in Depth on Amazon
Show steps
  • Read the first three chapters of the book.
  • Create a mind map or outline of the key concepts.
  • Complete the practice exercises at the end of each chapter.
Answer Questions in the Course Discussion Forum
Enhance your understanding by helping others in the course community.
Show steps
  • Regularly check the course discussion forum.
  • Identify questions related to table joins.
  • Provide thoughtful and helpful responses.
Create a Database Schema Diagram
Demonstrate your understanding of database relationships by creating a schema diagram.
Browse courses on Database Schema
Show steps
  • Choose a real-world scenario that requires a database.
  • Design the database schema using a tool like MySQL Workbench or draw.io.
  • Create a diagram that visually represents the schema.
Two other activities
Expand to see all activities and additional details
Show all five activities
Read High-Performance MySQL: Optimization, Backups, Replication, and More
Expand your knowledge of database optimization and performance by reading this book.
Show steps
  • Read the chapters on table joins and optimization.
  • Create a mind map or outline of the key concepts.
  • Complete the practice exercises at the end of each chapter.
Contribute to Open Source SQL Projects
Gain practical experience and contribute to the SQL community.
Browse courses on SQL
Show steps
  • Find open source SQL projects on platforms like GitHub.
  • Identify issues or features that you can contribute to.
  • Fork the project, make your changes, and submit a pull request.

Career center

Learners who complete Retrieve Data with Multiple-Table SQL Queries will develop knowledge and skills that may be useful to these careers:
Database Administrator
Database administrators are responsible for overseeing the maintenance, performance, and security of databases. They work with multiple tables to ensure that data is organized and accessible to users. This course will help you build a strong foundation in SQL, which is a key skill for database administrators. You will learn how to join tables, query data, and perform other operations that are essential for managing databases.
Data Analyst
Data analysts use data to solve business problems. They work with multiple tables to extract and analyze data, and then use that data to make recommendations. This course will help you develop the skills you need to be a successful data analyst. You will learn how to write SQL queries, analyze data, and present your findings.
Business Analyst
Business analysts work with businesses to improve their processes and performance. They use data to identify problems and opportunities, and then develop solutions. This course will help you develop the skills you need to be a successful business analyst. You will learn how to write SQL queries, analyze data, and communicate your findings to stakeholders.
Data Scientist
Data scientists use data to build models and solve problems. They work with multiple tables to extract and analyze data, and then use that data to make predictions and recommendations. This course will help you build a strong foundation in SQL, which is a key skill for data scientists. You will learn how to write SQL queries, analyze data, and build models.
Software Engineer
Software engineers design, develop, and maintain software applications. They work with multiple tables to store and manage data. This course will help you build a strong foundation in SQL, which is a key skill for software engineers. You will learn how to write SQL queries, create and modify tables, and perform other operations that are essential for developing software applications.
Web Developer
Web developers design and develop websites. They work with multiple tables to store and manage data. This course will help you build a strong foundation in SQL, which is a key skill for web developers. You will learn how to write SQL queries, create and modify tables, and perform other operations that are essential for developing websites.
Data Engineer
Data engineers design, build, and maintain data pipelines. They work with multiple tables to extract, transform, and load data. This course will help you build a strong foundation in SQL, which is a key skill for data engineers. You will learn how to write SQL queries, create and modify tables, and perform other operations that are essential for developing data pipelines.
ETL Developer
ETL developers design and develop ETL processes. They work with multiple tables to extract, transform, and load data. This course will help you build a strong foundation in SQL, which is a key skill for ETL developers. You will learn how to write SQL queries, create and modify tables, and perform other operations that are essential for developing ETL processes.
Database Developer
Database developers design and develop databases. They work with multiple tables to create and manage data. This course will help you build a strong foundation in SQL, which is a key skill for database developers. You will learn how to write SQL queries, create and modify tables, and perform other operations that are essential for developing databases.
Data Warehouse Developer
Data warehouse developers design and develop data warehouses. They work with multiple tables to store and manage data. This course will help you build a strong foundation in SQL, which is a key skill for data warehouse developers. You will learn how to write SQL queries, create and modify tables, and perform other operations that are essential for developing data warehouses.
BI Developer
BI developers design and develop business intelligence applications. They work with multiple tables to extract, transform, and load data. This course will help you build a strong foundation in SQL, which is a key skill for BI developers. You will learn how to write SQL queries, create and modify tables, and perform other operations that are essential for developing BI applications.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Retrieve Data with Multiple-Table SQL Queries.
Provides a comprehensive overview of SQL queries, with a focus on practical examples and real-world scenarios. It covers both basic and advanced concepts, making it a valuable resource for learners of all levels.
This comprehensive reference book provides a detailed overview of the SQL language. It covers all aspects of SQL, from basic syntax to advanced features.
Provides a deep dive into SQL performance tuning. It covers the principles of query optimization, indexing, and database design.
Provides a comprehensive overview of relational database design and implementation. It covers the principles of data modeling, normalization, and query optimization.
Provides a collection of common pitfalls and antipatterns in SQL programming. It explains how to avoid these mistakes and write efficient and maintainable SQL code.
Provides a comprehensive overview of advanced SQL techniques. It covers topics such as stored procedures, triggers, and user-defined functions.
Provides a comprehensive overview of SQL Server 2016 administration. It covers all aspects of database administration, from installation to performance tuning.
This concise guide provides a quick and easy introduction to SQL. It covers the basics of data manipulation and querying, making it a great starting point for beginners.

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