Managing Relational Databases (Coursera)

Managing Relational Databases (Coursera)

Students will learn about the structure and design of relational databases including primary and foreign key fields, one-to-many and one-to-one relationships. Students will learn about the Structured Query Language (SQL) and use SQL to examine the database structure. They will also learn to create and manage databases, tables, and records. The focus of the course is on data analysis.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Students will start with basic SQL queries then learn to add conditional statements, and logical, comparison and arithmetic operators. Students will learn to query for a range of values, and to use pattern matching and regular expressions. Then they will progress to using multiple conditions, and complex criteria, adding functions to create calculated fields, retrieve unique records and aggregate data. Then students will learn to query multiple tables using joins, creating complex queries using subqueries, nested subqueries, and subqueries in the WHERE and FROM clauses. Students will use SQL to control the output of data including parsing text and numbers, grouping results and using ROLLUP. Students will perform labs that give practical experience and then they will complete a capstone project to demonstrate mastery of course objectives.
This course can be applied to multiple Specializations or Professional Certificates programs. Completing this course will count towards your learning in any of the following programs:

What You Will Learn
Students will learn to create and manage relational databases, and to use SQL for data analysis and reporting.

Syllabus

WEEK 1
Database Fundamentals
In this module, you will learn about the concepts behind databases and relational database. You will explore the structure of a relational database and SQL, the language used to manage relational databases. Then you will master the skills to create queries using the SELECT statement including conditional queries, logical operations, comparison and arithmetic operators. Finally you will explore more complex criteria that can be used to search for ranges and with pattern matching.
Multiple Conditions and Complex Criteria
In this module you will learn how to create queries with multiple criteria using the key words AND and OR. You will also learn to create queries using more complex criteria involving comparison and arithmetic operators, searching for ranges of values, handling NULL values, and finally incorporating pattern matching and regular expressions.

WEEK 2
Working with Functions
In this module, you will learn about functions and date and time data types. You will learn to use date and aggregate functions to extract and analyze data. You will also learn to format dates, strings and numbers so they can be used for reporting and analysis.
Retrieving and Organizing Data from Multiple Tables
In this module, you will learn how to combine multiple queries together using UNION, INTERSECT and EXCEPT. Then you will learn how to combine data from multiple tables using joins. You will learn the four types of joins and then explore using them with multiple tables and for self-joins. Finally, you will organize data using ORDER BY, GROUP BY, and ROLLUP.

WEEK 3
Using Subqueries
In this module, you will learn how to use subqueries, which are queries contained inside of other queries. You will learn how and when to use subqueries in the WHERE and FROM clauses. You will also learn about correlated subqueries and subqueries used to test for the existence of records. Finally you will learn how to create nested subqueries for situations where just one subquery won't get the data you need.
Manipulating Table Data
In this module, you will learn how to create databases, tables and fields. You will learn to insert new records, update existing records, and delete records that are no longer needed.

WEEK 4
Database Fundamentals Capstone
In this module you will demonstrate mastery of the course objectives.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Foundations for Big Data Analysis with SQL (Coursera) Coursera
Cloudera

Foundations for Big Data Analysis with SQL (Coursera)

In this course, you'll get a big-picture view of using SQL for big data, starting with an overview of data, database systems, and the common querying language (SQL). Then you'll learn the characteristics of big data and SQL tools for working on big data platforms. You'll also install an exercise environment (virtual machine) to be used through the specialization courses, and you'll have an opportunity to do some initial exploration of databases and tables in that environment.

Aug 31st 2026
5-12 Weeks
AWS Cloud Practitioner Essentials (Coursera) Coursera
AWS

AWS Cloud Practitioner Essentials (Coursera)

Welcome to AWS Cloud Practitioner Essentials. If you’re new to the cloud, whether you’re in a technical or non-technical role such as finance, legal, sales, marketing, this course will provide you with an understand of fundamental AWS Cloud concepts to help you gain confidence to contribute to your organization’s cloud initiatives. This course is also the starting point to prepare for your AWS Certified Cloud Practitioner certification whenever it’s convenient for you.

Sep 7th 2026
5-12 Weeks
Web Application Development: Basic Concepts (Coursera) Coursera
University of New Mexico

Web Application Development: Basic Concepts (Coursera)

This is the first course in a Coursera Specialization track involving Web Application Architectures. This course will give you the basic background, terminology and fundamental concepts that you need to understand in order to build modern full stack web applications. A full stack web developer is familiar with each "layer" of the software technologies involved in a web application, including data modeling and database technologies, the web server environment and middleware components, network protocols, the user interface and basic visual design and user interaction concepts.

Sep 14th 2026
5-12 Weeks
Oracle SQL Performance Tuning (Coursera) Coursera
EDUCBA

Oracle SQL Performance Tuning (Coursera)

This course is designed to provide you with skills needed to improve query performance in Oracle databases. In real-world scenarios, slow report generation and query execution often result from the sheer volume of data. To address this issue, this course covers topics such as Query Compilation and Execution, Indexing, Materialized Views, Common Table Expressions etc. Emphasis is on practical learning with step-by-step demonstrations.

Sep 7th 2026
4 Weeks
Exam Prep DP-300: Azure Database Administrator Associate (Coursera) Coursera
Whizlabs

Exam Prep DP-300: Azure Database Administrator Associate (Coursera)

Database administration is one of the basic necessities of every enterprise. The growth of cloud and On-premises relational databases continues to create the need for professional database administrators. Therefore, an updated certification such as DP-300 could open up favorable options for employment of database administrators.

Sep 14th 2026
5-12 Weeks
Getting Started with Apache Cassandra (Coursera) Coursera
Whizlabs

Getting Started with Apache Cassandra (Coursera)

The “Getting Started with Cassandra” course is designed to help you gain knowledge of the Cassandra database system. You will learn architecture as well as how to design, build and use Cassandra databases. This training course helps you develop your skills and knowledge in Cassandra. Cassandra is a NoSQL database that has the traits of a distributed, open-source, and decentralized database or storage system. It can support the management of excessively massive amounts of structured data without a single point of failure, thereby resulting in the provision of highly available services.

Sep 14th 2026
3 Weeks
Data Visualization with Advanced Excel (Coursera) Coursera
PwC

Data Visualization with Advanced Excel (Coursera)

In this course, you will get hands-on instruction of advanced Excel 2013 functions. You’ll learn to use PowerPivot to build databases and data models. We’ll show you how to perform different types of scenario and simulation analysis and you’ll have an opportunity to practice these skills by leveraging some of Excel's built in tools including, solver, data tables, scenario manager and goal seek.

Aug 31st 2026
4 Weeks
Using Databases with Python (Coursera) Coursera
University of Michigan

Using Databases with Python (Coursera)

This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort. The course will use SQLite3 as its database. We will also build web crawlers and multi-step data gathering and visualization processes. We will use the D3.js library to do basic data visualization.

Sep 7th 2026
5-12 Weeks
BigQuery Fundamentals for Oracle Professionals (Coursera) Coursera
Google Cloud

BigQuery Fundamentals for Oracle Professionals (Coursera)

This course covers BigQuery fundamentals for professionals who are familiar with SQL-based cloud data warehouses in Oracle and want to begin working in BigQuery. Through interactive lecture content and hands-on labs, you learn how to provision resources, create and share data assets, ingest data, and optimize query performance in BigQuery. Drawing upon your knowledge of Oracle, you also learn about similarities and differences between Oracle and BigQuery to help you get started with data warehouses in BigQuery.

Sep 14th 2026
2 Weeks
Relational Database Support for Data Warehouses (Coursera) Coursera
University of Colorado System

Relational Database Support for Data Warehouses (Coursera)

Relational Database Support for Data Warehouses is the third course in the Data Warehousing for Business Intelligence specialization. In this course, you'll use analytical elements of SQL for answering business intelligence questions. You'll learn features of relational database management systems for managing summary data commonly used in business intelligence reporting. Because of the importance and difficulty of managing implementations of data warehouses, we'll also delve into storage architectures, scalable parallel processing, data governance, and big data impacts. In the assignments in this course, you can use either Oracle or PostgreSQL.

Aug 31st 2026
5-12 Weeks