Move beyond simple querying to understand how data is structured, analyzed, and applied in real systems. These courses cover SQL analysis, application development, and database architecture, connecting raw data to scalable products and reliable decision-making.
Learn how to execute core SQL commands to define, select, manipulate, control access, aggregate, and join data and data tables. Understand when and how to use subqueries, several window functions, and partitions to complete complex tasks. Clean data, optimize SQL queries and write select advanced JOINs to enhance analysis performance.
Get a beginner-friendly introduction to SQL that covers querying, joins, aggregations, and data cleaning, with clear guidance on choosing the right commands and using query results to answer business questions.
You'll learn the skills needed to traverse the stack and develop an entire database-backed web application. By the end of the course, you'll have the fundamentals you need to start building web applications, including how to do Create, Read, Update, and Delete (CRUD) operations on a database, how to apply these operations across both databases and web applications, how to set up relationships between elements of an application, and ultimately how to think about important principles and patterns in building data models for a web application
Design scalable data systems from the ground up. Practice data staging, transformation, and warehouse construction while learning to create centralized architectures for enterprise-wide insights and decision-making.
Relational databases are a powerful tool used throughout the industry. Learn the basics of SQL and how to connect your Python code to a relational database.
Explore how to design and manage relational and non-relational databases, from normalization and SQL DDL/DML to indexing strategies and choosing between Postgres, MongoDB, and Redis for different scenarios.
Expand your SQL fluency by pairing database fundamentals with advanced cloud, machine learning, and systems coursework. Deepen your understanding of how data is stored, processed, and deployed, linking strong querying and modeling foundations to scalable infrastructure, intelligent applications, and end-to-end data systems.
Strengthen your cloud expertise by learning agile methodologies, advanced deployment, and multi-cloud strategies. These complementary courses will equip you with practical skills to boost your ability to design, manage, and optimize cloud solutions seamlessly across AWS and Azure.
Combining Machine Learning fundamentals with cloud platforms, DevOps, and continuous deployment courses equips you with the tools to build, deploy, and manage intelligent applications end-to-end. This integrated approach boosts efficiency, automates workflows, and drives faster innovation.
Advance your expertise beyond algorithms and data architecture with complementary courses in programming, analytics, and JavaScript. Strengthen your technical foundation, master data storytelling, and build data-driven applications that connect strong system design with modern development.
Explore all of Udacity’s Schools, consisting of hundreds of career-driven programs and courses that are designed to teach practical skills and help you learn to your full potential.