Get hands-on with Apache Spark and PySpark by learning how to build scalable, high-performance data pipelines using the DataFrame API, Spark jobs, joins, aggregations, and more.
- Learn the skills and real-world tools used by Data Engineers and become top 10% in your field
- Set up Apache Spark and configure your local or cloud environment for big data processing
- Write efficient PySpark code to handle, transform, and analyze large-scale datasets
- Use DataFrames to manipulate data in a distributed computing environment
- Build scalable data pipelines that integrate multiple transformation and aggregation steps
- Create a strong foundation for a career in Data Engineering, Data Science, and AI/ML
