Learn about the architecture and management of big data systems.

This course provides foundational big data practitioner knowledge and analytical skills using popular big data tools, including Hadoop and Spark. Learn and practice your big data skills hands-on.

Learn the fundamental techniques for data analytics and to be prepared for learning and applying more advanced big data technologies.

Learn how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems.

This course brings any Big Data newbie up to speed on one of the most widely used open-source platform to build data pipelines - Apache Kafka.

This short course introduces you to the fundamentals of Data Engineering and Machine Learning with Apache Spark, including Spark Structured Streaming, ETL for Machine Learning (ML) Pipelines, and Spark ML. By the end of the course, you will have hands-on experience applying Spark skills to ETL and ML workflows.