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
Perfect markets achieve efficiency: maximizing total surplus generated. But real markets are imperfect. In this course we will explore a set of market imperfections to understand why they fail and... more
Welcome to the Core Java - Advanced Fundamentals course! The course covers Java Generics and the Collections Framework, providing participants with vital skills for effective Java programming.... more
This course provides an in-depth analysis of Macroeconomic Financial Accounts. Each module will delve into one specific Institutional Sector of the National Economy i.e., Financial and... more
This specialization offers a comprehensive guide to mastering product management, from core concepts to advanced interview strategies. Covering topics such as product vision, market analysis, agile... more
This Specialization will introduce you to the magic of 3D printing. Through a series of four cohesive courses, you will acquire the knowledge and skills to turn your ideas into objects and your... more
Powered by
