Data, AI, and Cloud Courses

• BasicSkill Level
• 4.7+
• 15.7K

Discover how data engineers lay the groundwork that makes data science possible. No coding involved!

• BasicSkill Level
• 4.6+
• 7.1K

Learn to design databases in SQL to process, store, and organize data in a more efficient way.

• IntermediateSkill Level
• 4.6+
• 5.7K

Master PySpark to handle big data with ease—learn to process, query, and optimize massive datasets for powerful analytics!

• BasicSkill Level
• 4.4+
• 5K

Learn about the Databricks Lakehouse platform and how it can modernize data architectures and improve data management processes.

• IntermediateSkill Level
• 4.6+
• 5K

This course will take you from Snowflakes foundational architecture to mastering advanced SnowSQL techniques.

• IntermediateSkill Level
• 4.7+
• 4K

This introductory and conceptual course will help you understand the fundamentals of data warehousing.

• IntermediateSkill Level
• 4.6+
• 3.4K

This course introduces dbt for data modeling, transformations, testing, and building documentation.

• IntermediateSkill Level
• 4.6+
• 3.4K

Learn to build effective, performant, and reliable data pipelines using Extract, Transform, and Load principles.

• AdvancedSkill Level
• 4.6+
• 3.3K

Learn how to implement and schedule data engineering workflows.

• IntermediateSkill Level
• 4.6+
• 2.2K

Step right into the dynamic world of data modeling with Snowflake!

• IntermediateSkill Level
• 4.5+
• 2.1K

Learn about the world of data engineering in this short course, covering tools and topics like ETL and cloud computing.

• AdvancedSkill Level
• 4.5+
• 2K

Learn the fundamentals of working with big data with PySpark.

• IntermediateSkill Level
• 4.5+
• 1.7K

Discover modern data architectures key components, from ingestion and serving to governance and orchestration.

• IntermediateSkill Level
• 4.3+
• 1.4K

Learn Databricks SQL for data engineering, analytics, and real-time data workflows in the lakehouse architecture.

• BasicSkill Level
• 4.5+
• 1.3K

Learn about the power of Databricks Lakehouse and help you scale up your data engineering and machine learning skills.

• IntermediateSkill Level
• 4.7+
• 1.1K

Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!

• BasicSkill Level
• 4.7+
• 1.1K

Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.

• AdvancedSkill Level
• 4.4+
• 1.1K

Take your dbt skills to the next level with this hands-on course designed for data engineers and analytics professionals.

• IntermediateSkill Level
• 4.6+
• 1.1K

Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.

• IntermediateSkill Level
• 4.7+
• 833

In this conceptual course (no coding required), you will learn about the four major NoSQL databases and popular engines.

• IntermediateSkill Level
• 4.5+
• 710

Learn to implement distributed data management and machine learning in Spark using the PySpark package.

• IntermediateSkill Level
• 4.8+
• 708

Learn to manipulate and analyze flexibly structured data with MongoDB.

• AdvancedSkill Level
• 4.6+
• 564

Learn how to transform raw data into clean, reliable models with dbt through hands-on, real-world exercises.

• IntermediateSkill Level
• 4.5+
• 421

Ensure high data quality in data science and data engineering workflows with Pythons Great Expectations library.

• BasicSkill Level
• 4.6+
• 406

Learn about the difference between batching and streaming, scaling streaming systems, and real-world applications.

• IntermediateSkill Level
• 4.5+
• 276

Master Amazon Redshifts SQL, data management, optimization, and security.

• IntermediateSkill Level
• 4.4+
• 107

Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.