Applied Python Data Engineering
Completed by Görkem Saylam
March 8, 2024
Approximately 5 months at 10 hours a week to completeGörkem Saylam's account is verified. Coursera certifies their successful completion of Duke University Applied Python Data Engineering Specialization.
Course Certificates Completed
Spark, Hadoop, and Snowflake for Data Engineering
Virtualization, Docker, and Kubernetes for Data Engineering
Data Visualization with Python
What you will learn
Create scalable big data pipelines (Hadoop, Spark, Snowflake, Databricks) for efficient data handling.
Build machine learning workflows (PySpark, MLFlow) on Databricks for seamless model development and deployment.
Implement DataOps/DevOps to streamline data engineering processes.
Formulate and communicate data-driven insights and narratives through impactful visualizations with Python and data storytelling
Course Certificates
Earned after completing each course in the Specialization
Spark, Hadoop, and Snowflake for Data Engineering
Duke University
Taught by: Noah Gift, Kennedy Behrman & Matt Harrison
Completed by: Görkem Saylam by March 8, 2024
4 weeks of study, 3-5 hours/week
Virtualization, Docker, and Kubernetes for Data Engineering
Duke University
Taught by: Noah Gift, Kennedy Behrman & Matt Harrison
Completed by: Görkem Saylam by March 8, 2024
4 weeks of study, 4-6 hours/week
Data Visualization with Python
Duke University
Taught by: Matt Harrison, Noah Gift & Kennedy Behrman
Completed by: Görkem Saylam by March 8, 2024
4 weeks of study, 4-6 hours/week