// 35 courses indexed
The course directory
Every course we track across 10+ providers, in one searchable index. Want a shortlist picked for your goals? Run a free skill gap analysis.
End-to-End QA Testing Cycle
End-to-End QA Testing Cycle is the capstone course for the Junior QA/Software Tester Professional Certificate. You will step into the role of sole QA Tester for a new mock application—GreenLeaf Grocers—and execute a complete software testing lifecycle from start to finish. You'll begin by importing requirements into Jira, authoring Zephyr test cases, and manually executing tests to uncover seeded defects. You'll use BrowserStack to confirm a mobile UI bug on a live device, and Postman to isolate an API failure triggering a 500 Server Error. From there, you'll validate data integrity with SQL
All levels
Database Design and Operational Business Intelligence
Learn how to design scalable databases and integrate them with Power BI for impactful business intelligence. This course on Database Design and Operational Business Intelligence is designed to help you master the principles of relational database design, normalization, and schema optimization. You'll gain hands-on experience managing complex datasets and structuring databases that align with real-world business needs. Throughout this course, you'll delve into how Power BI and MS SQL Server are applied within specific industries. By the end of this course, you will be able to: 1. Compose diff
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Design & Optimize SQL Database Schemas
Most database schemas start simple, but as data grows and queries become complex, performance bottlenecks emerge. What separates skilled data engineers from the rest is the ability to architect schemas that scale. This Short Course was created to help data engineers and database professionals accomplish advanced schema design and optimization that directly impacts query performance and system scalability. By completing this course, you'll be able to implement DDL partitioning and clustering strategies, make informed decisions about when to denormalize for performance gains, and create profes
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Java Data Access - SQL Primer
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. 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.
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Process Data from Dirty to Clean
This is the fourth course in the Google Data Analytics Certificate. In this course, you’ll continue to build your understanding of data analytics and the concepts and tools that data analysts use in their work. You’ll learn how to check and clean your data using spreadsheets and SQL, as well as how to verify and report your data cleaning results. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources. Learners who complete this certificate program will be equipped to apply for introduc
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Optimization of SQL query Tuning and Performance
By the end of this project, you will be able to professionally write queries with better performance using some techniques and improve the performance of queries and make the execution time faster. It provides you with the important steps to tune your queries. database tuning is essential to easily organizing and accessing database data by creating different types of indexes to improve performance. and in applying the hash, nest loop joins and merge join strategies. You will also be able to create tables and insert data. And You will be able to execute queries using Explain and Explain Analyz
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Apply Advanced SQL Server Analytics and Programming
By the end of this course, learners will be able to manage semi-structured data using JSON, model complex relationships with graph databases, and apply advanced analytics by integrating R and Python within SQL Server. Learners will gain the ability to query, modify, and analyze diverse data formats directly inside the database environment. This course is designed for database professionals and data practitioners who want to move beyond traditional relational querying and leverage advanced SQL Server capabilities. Through hands-on concepts, learners will understand how to store and manipulate
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Data Engineering with Delta Lake on Databricks
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
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Data Cleaning, Transformation, and Manipulation
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
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AWS: Database
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
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Query Your Data: SQL for the AI Era
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
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Master PostgreSQL Database Design and SQL Fundamentals
By the end of this course, learners will be able to explain PostgreSQL fundamentals, apply SQL commands to manage databases and tables, design relational structures using constraints and keys, and modify existing tables safely in real-world environments. This course provides a structured, hands-on introduction to PostgreSQL, one of the world’s most powerful open-source relational database systems. Learners progress from understanding PostgreSQL architecture and database management basics to inserting data, applying constraints, using SQL operators, and designing well-structured tables. Advanc
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Structured Query Language (SQL) using SAS
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.
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Analyze E-Commerce Data Using PostgreSQL
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
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Database Structures and Management with MySQL
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
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Java SE 17 Developer (1Z0-829): Unit 8
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
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Explore OAS Self-Service Analytics
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
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Oracle SQL Proficiency
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.
All levels
Migrating from Microsoft SQL Server to Amazon RDS
In this course, AWS Hero Alex DeBrie demonstrates the step-by-step process of migrating a Microsoft SQL Server database to Amazon Relational Database Service (Amazon RDS). You can either watch Alex explain the steps of the migration process or follow along using your own Amazon Web Services (AWS) account or the AWS Free Tier.
All levels
Apache Spark: Design & Execute ETL Pipelines Hands-On
Build practical data engineering skills by learning how to design, develop, and execute end-to-end ETL (Extract, Transform, Load) pipelines using Apache Spark. In this hands-on course, you will begin by setting up a Spark development environment, installing and configuring PySpark, Hadoop, and MySQL, organizing ETL project structures, and exploring real-world datasets. As you progress, you will implement complete and incremental ETL workflows using Apache Spark. You'll integrate Spark with MySQL through JDBC, apply data transformation logic with Spark SQL, perform business-rule filtering, and
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Data Analysis Using Hadoop Tools
The course "Data Analysis Using Hadoop Tools" provides a thorough and hands-on introduction to key tools within the Hadoop ecosystem, such as Hive, Pig, HBase, and Apache Spark, for data processing, management, and analysis. Learners will gain practical experience with Hive's SQL-like interface for complex data querying, Pig Latin scripting for data transformation, and HBase's NoSQL capabilities for efficient big data management. The course also covers Apache Spark's powerful in-memory computation capabilities for high-performance data processing tasks. By the end, participants will be equippe
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SQL Server Course for Beginners with 100+ examples
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Dive into SQL Server with this comprehensive beginner-friendly course. Whether you’re just starting or looking to strengthen your SQL skills, this course ensures hands-on experience through over 100 examples, making concepts clearer and more practical. You’ll begin by understanding the fundamentals of SQL and its powerful features, followed by installation guides tailor
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Business Intelligence with SQLServer: Create SQL Reports
In this 1.5 hour project-based course, you will learn how to use SQL (structured query language) to join tables, aggregate related data and derive business intelligence. We will do this by analyzing the historical data of a medical specimen pickup service. Learners will take on the role of an intermediate level database developer to join tables and aggregate related data for calculation using SQL server functions. Then, we will use a report generator to create presentable reports with these SQL statements. Relational database and SQL are industry standards and this will allow you to transfer
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SQLite for Rust
Use SQLite from Rust to build production-grade data tooling — the embedded, single-file SQL engine that ships in every Android phone, every iOS device, and most web browsers. You'll start with the basics of SQLite as a serverless library, then drive it from Rust with the rusqlite crate: opening file-backed and in-memory databases, running INSERT, SELECT, UPDATE, DELETE through prepared statements, and surfacing errors as `Result` rather than swallowing them. Module 2 turns the database into a real ETL stage: stream CSV with the csv crate and serde, ingest JSON with serde_json into typed column
All levels