Coursera

Java Data Access - SQL Primer (Coursera)

Offered by LearnQuest,

This course will introduce the student to the basic concepts of SQL for interaction with Relational Databases. It will illustrate basic SQL statements to create and query tables, leverage table relationships through joins and subqueries, insert and update table rows.

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

It is, however, only intended to cover the basics needed in order for the student to progress onto the Java Database Connectivity (JDBC) and Jakarta Persistence (JPA) courses in the Data Access Specialization.
Course 3 of 4 in the Java Database Connectivity Specialization.

Syllabus

WEEK 1
Create Database, Tables and Queries
In this module we will introduce basic SQL Syntax, Interact with a database its tables to via SQL Queries and Updates to give you enough understanding of SQL for the Java Database Connectivity (JDBC) and Jakarta Persistence (JPA) courses

WEEK 2
Putting it together, Joins and SubQueries
In this module you will apply more complex where clauases in your SQL Statements. You will then move onto the concept of joining tables through SQL Join Queries and also SubQueries

Go to Class

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

Related Courses

Coursera

Google Cloud

Serverless Data Processing with Dataflow: Develop Pipelines (Coursera)

Statistics & Data Analysis Data Science

In this second installment of the Dataflow course series, we are going to be diving deeper on developing pipelines using the Beam SDK. We start with a review of Apache Beam concepts. Next, we discuss processing streaming data using windows, watermarks and triggers. We then cover options for sources and sinks in your pipelines, schemas to express your structured data, and how to do stateful transformations using State and Timer APIs.

Sep 21st 2026

3 Weeks

SQL Schema Data Processing

Coursera

Working with Data in Android (Coursera)

CS: Software Engineering

Learn how to work with web technologies and persistent data on Android applications even after you close or restart an app. There is a focus on web communication and developer tools and you will discover how Kotlin applications communicate over the web. You’ll learn how data formats and web protocols work in relation to Kotlin apps. Furthermore, you will practice applying asynchronous programming techniques using Kotlin.

Sep 14th 2026

5-12 Weeks

Data Android Databases

Coursera

IBM

SQL: A Practical Introduction for Querying Databases (Coursera)

Statistics & Data Analysis Data Science

Much of the world's data lives in databases. SQL (or Structured Query Language) is a powerful programming language that is used for communicating with and manipulating data in databases. A working knowledge of databases and SQL is a must for anyone who wants to start a career in Data Engineering, Data Warehousing, Data Analytics, Data Science or Business Intelligence. The purpose of this course is to help you learn and apply foundational and intermediate knowledge of the SQL language, and become familiar with many relational database (RDBMS) concepts along the way.

Sep 21st 2026

5-12 Weeks

Databases SQL Data Analysis

Coursera

University of Michigan

Uso de bases de datos con Python (Coursera)

CS: Software Engineering Computer Science

Este curso presentará a los estudiantes los conceptos básicos del lenguaje de consulta estructurado (Structured Query Language, SQL), así como el diseño básico de bases de datos para almacenar datos como parte de una iniciativa de varios pasos para recopilar, analizar y procesar datos. El curso utilizará SQLite3 como base de datos. También crearemos rastreadores web y procesos de visualización y recopilación de datos de varios pasos. Utilizaremos la biblioteca D3.js para realizar la visualización básica de datos.

Sep 14th 2026

5-12 Weeks

Programming Python Databases

Coursera

University of Michigan

Introduction to Structured Query Language (SQL) (Coursera)

CS: Software Engineering CS: Programming

In this course, you'll walk through installation steps for installing a text editor, installing MAMP or XAMPP (or equivalent) and creating a MySql Database. You'll learn about single table queries and the basic syntax of the SQL language, as well as database design with multiple tables, foreign keys, and the JOIN operation. Lastly, you'll learn to model many-to-many relationships like those needed to represent users, roles, and courses.

Sep 14th 2026

4 Weeks

SQL PHP MySQL

Coursera

Cloudera

Managing Big Data in Clusters and Cloud Storage (Coursera)

Statistics & Data Analysis Data Science

In this course, you'll learn how to manage big datasets, how to load them into clusters and cloud storage, and how to apply structure to the data so that you can run queries on it using distributed SQL engines like Apache Hive and Apache Impala. You’ll learn how to choose the right data types, storage systems, and file formats based on which tools you’ll use and what performance you need.

Sep 14th 2026

5-12 Weeks

SQL Big Data Data Management

Coursera

IBM

Introduction to Data Engineering (Coursera)

CS: Information & Technology

This course introduces you to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. You will gain an understanding of the modern data ecosystem and the role Data Engineers, Data Scientists, and Data Analysts play in this ecosystem. The Data Engineering Ecosystem includes several different components. It includes disparate data types, formats, and sources of data.

Sep 14th 2026

4 Weeks

Databases NoSQL SQL

Coursera

École Polytechnique Fédérale de Lausanne

Big Data Analysis with Scala and Spark (Scala 2 version) (Coursera)

CS: Theory Data Science

Manipulating big data distributed over a cluster using functional concepts is rampant in industry, and is arguably one of the first widespread industrial uses of functional ideas. This is evidenced by the popularity of MapReduce and Hadoop, and most recently Apache Spark, a fast, in-memory distributed collections framework written in Scala. In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout.

Sep 14th 2026

4 Weeks

SQL Scala Big Data

Coursera

Cloudera

Analyzing Big Data with SQL (Coursera)

Statistics & Data Analysis Data Science

In this course, you'll get an in-depth look at the SQL SELECT statement and its main clauses. The course focuses on big data SQL engines Apache Hive and Apache Impala, but most of the information is applicable to SQL with traditional RDBMs as well; the instructor explicitly addresses differences for MySQL and PostgreSQL.

Sep 14th 2026

5-12 Weeks

SQL Big Data Data Analysis

Coursera

Cloudera

Foundations for Big Data Analysis with SQL (Coursera)

Statistics & Data Analysis Data Science

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.

Sep 14th 2026

5-12 Weeks

Databases SQL Big Data

Coursera

Starweaver

Build a Data Warehouse Using BigQuery (Coursera)

Statistics & Data Analysis Data Science

Unlock the power of Google BigQuery as you embark on a journey to become proficient in data warehouse building and advanced querying. In this comprehensive course, you'll learn to harness the capabilities of BigQuery, from setting up and accessing the platform to creating data warehouses using both the user interface and Python. Through hands-on lessons and practical applications, you'll develop the fundamental skills needed to manage, query, and optimize your data in this powerful cloud-based platform.

Sep 28th 2026

1 Week

SQL Data Warehousing Data Warehouse

Coursera

University of Michigan

Intermediate PostgreSQL (Coursera)

CS: Software Engineering

This course covers a wide range of SQL techniques, beyond basic CRUD (Create, Read, Update, and Delete) operations in PostgreSQL. You will learn the specifics of aggregation, transactions, reading and parsing CSV files and inserting data into a database. You’ll also take a look at how PostgreSQL handles and indexes text data.

Sep 14th 2026

Self-Paced

SQL CRUD PostgreSQL