edX
edXData Engineering Foundations
1k studentsBEGINNEREnglish
Korshub's take
Build the technical foundation for modern data engineering across a full stack of in-demand tools. Master Python and Bash for automation, SQL for querying, and Pandas/NumPy for data manipulation—then scale your work with orchestration tools like Kubernetes and distributed platforms like Spark and Snowflake.
Learn to design efficient data pipelines, optimize workflows, and leverage platforms like Databricks and MLflow for analytics. This course connects each tool to real-world data engineering challenges, preparing you for roles that span data pipeline architecture and operations.
About this course
Master Python, Bash, and SQL for data manipulation and automation. ,Build scalable data pipelines using Pandas, FastAPI, and Kubernetes. ,Optimize data workflows on Hadoop, Spark, and Snowflake platforms. ,Leverage Databricks and MLflow for data analytics and machine learning. ,Acquire industry-relevant skills for data engineering career success.
Price
$3,592
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