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
Athletes, lawyers and team executive experts provide insight in how law and regulations intersect with data analytics and sports management techniques for best practices in the sports industry.... more
HTML is at the very core of the world wide web, it is the language in which all web pages are written and rendered. In this 75 minute long project you will build knowledge base for your business,... more
This course helps you understand the basics of machine data. You will learn about Splunk components, its basic functions, and be introduced to apps, which becomes your workspace. It teaches you how... more
By the end of this project, you will be able to create a multi app Quiz Game using Vanilla JavaScript. You will be able to add variables by keywords LET and CONST.. You will also loop on the... more
Come and learn the language which is spoken by more than 1 billion people and is getting more and more learners. This may enable you to know and do business with people from one of the world\'s... more
Powered by
