Web Applications and Command-Line Tools for Data Engineering
About this Course
In this fourth course of the Python, Bash and SQL Essentials for Data Engineering Specialization, you will build upon the data engineering concepts introduced in the first three courses to apply Python, Bash and SQL techniques in tackling real-world problems. First, we will dive deeper into leveraging Jupyter notebooks to create and deploy models for machine learning tasks. Then, we will explore how to use Python microservices to break up your data warehouse into small, portable solutions that can scale. Finally, you will build a powerful command-line tool to automate testing and quality control for publishing and sharing your tool with a data registry.Created by: Duke University
Related Online Courses
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you migrate a stand-alone PostgreSQL database (running on a virtual machine) to Cloud SQL for PostgreSQL using a... more
Financial statements are a key source of information about the economic activities of a firm. This course is a primer on the construction and basic interpretation of financial statements that... more
This series is intended for individuals interested in participating in the decentralized financial (DeFi) cryptocurrency system. We cover the essential foundations of the DeFi system, explore... more
Master Agile and Scrum methodologies to drive successful IT project management. This course equips you with the best practices to enhance efficiency, collaboration, and adaptability in dynamic... more
The Juniper Networks Security Fundamentals specialization provides students a brief overview of cybersecurity problems and how Juniper Networks approaches a complete security solution with Juniper... more
Powered by
