The 10 best SQL courses in 2026

What if you could turn a raw Excel budget file into a boardroom-ready dashboard within a few hours – no SQL required? This short course was created to help business intelligence professionals accomplish end-to-end self-service analytics in Oracle Analytics Server. By completing this course, you'll be able to connect governed data (subject areas curated by IT or data teams), enrich it through no-code data flows, and publish interactive dashboards your stakeholders can actually use. By the end of this course, you will be able to: Connect to Subject Areas and upload local files to create reusable

Develop a working knowledge of the MySQL database management system (DBMS). Gain DBMS skills such as data creation, querying and manipulation. You’ll gain further experience with SQL statements, clauses and data types. By the end of this course, you’ll be able to: - Utilize the MySQL DBMS to build and modify relational databases with SQL - Add records to a MySQL database - Perform intricate queries on database records with filters and groupings - Create simple joins and unions within a database - Create relationships between tables using primary and foreign keys - Demonstrate the ab

Learners will apply SQL concepts, analyze real-world e-commerce datasets, and produce business-ready reports using PostgreSQL. By the end of this course, learners will be able to design relational database structures, write optimized SQL queries, perform advanced aggregations, and generate actionable insights from transactional data. This course provides a hands-on, project-driven approach to mastering PostgreSQL for data analysis. Learners begin by setting up the PostgreSQL environment and building a strong foundation in database management, table design, data types, and constraints. They th

Unlock the full potential of Java's data management capabilities with our comprehensive online course focused on JDBC and Java I/O APIs. This course is meticulously designed to equip you with the skills needed to seamlessly connect Java applications to SQL databases using JDBC. You'll learn to create connections, execute basic, prepared, and callable statements, and process query results efficiently. Our lessons emphasize transaction control and the importance of prepared statements in preventing SQL injection attacks. Additionally, the course delves into the Java I/O API, where you'll master

Course Description In this course, you learn about Structured Query Language (SQL) and how it can be used in SAS programs to create reports and query your data. “By the end of this course, a learner will be able to…” ● Query and subset data. ● Summarize and present data. ● Combine tables using joins and set operators. ● Create and modify tables and views. ● Create data-driven macro variables using a query. ● Access DBMS data with SAS/ACCESS technology.

Build production-ready data pipelines using Delta Live Tables and the Medallion Architecture on Databricks. This hands-on course teaches you to design, implement, and monitor ETL workflows that transform raw data into reliable, business-ready datasets through a structured bronze-silver-gold layering pattern. This course is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with professionals with an interest in programming. You will start by mastering DLT fundamentals — declarative pipeline syntax in both SQL and Python, streaming ingestion w

In Data Cleaning, Transformation, and Manipulation, you’ll learn to turn messy data into analysis- and modeling-ready datasets using Python (pandas) and SQL. This is a skill-based path organized around real workplace tasks. Each module mirrors responsibilities you see in job descriptions and focuses on the exact steps you’ll perform on the job. You’ll begin with a quick skills check, then personalize your journey: double down on new topics, or skip what you already know. For each skill, you’ll review concise lessons curated from expert instructors with explanations and demos for filtering and

AWS: Databases Course is the fourth course of Exam Prep DVA-C02: AWS Certified Developer Associate Specialization. This course assists learners in learning the core concepts of NoSQL, contrasting it with traditional SQL databases. It covers key aspects of DynamoDB, including compute capacity, read consistency, transactions, and streams. The course also explores other NoSQL options like Amazon MemoryDB for Redis, covering cluster setup, data loading, and its comparison with ElastiCache for Redis. Finally, it provides an overview of Amazon RDS, a managed relational database service. This cours

Modern marketing analytics requires more than dashboards you need the ability to access and shape raw data. In Query Your Data: SQL for the AI Era, you’ll learn how to use SQL and AI tools together to extract, analyze, and validate marketing data across multiple sources. You’ll start by understanding how marketing data is structured across tables such as sessions, events, ads, and CRM records. You’ll learn how to use SQL joins to connect these sources and create campaign-level views that link ad spend to revenue outcomes. Rather than writing every query from scratch, you’ll focus on promptin

This course is designed to help you continue learning about Oracle SQL and database management. We will look more closely at the Create, Alter, and Update commands, explore database relationships, and demonstrate how to use database views and SQL functions. It is recommended that you complete the first three courses of this specialization prior to this one.