Applied Python Data Engineering Specialization

Elevate your coding skills with data engineering. Use big data for decision-making, analysis, AI and machine learning

Instructors: Kennedy Behrman +2 more

What you'll 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

    • Skills you'll gain

  •   Matplotlib
  •   Virtualization
  •   Apache Hadoop
  •   Kubernetes
  •   Data Pipelines
  •   Data Visualization
  •   Apache Spark
  •   Databricks
  •   Containerization
  •   PySpark
  •   Dashboard
  •   Plotly

    • Specialization - 3 course series

    The Specialization features a capstone project focused on using Databricks’ API to replicate an existing project. This provides hands-on experience working with Databricks to build a portfolio-ready data solution. You will apply Python to a variety of data engineering tasks.

    Virtualization, Docker, and Kubernetes for Data Engineering

    Data Visualization with Python

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