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

By the end of this project, you will learn how to work with JSON data in python. we will learn what is an API and how we can access the data using HTTP requests in Python. We are going to retrieve... more
This specialization covers the fundamentals of surveys as used in market research, evaluation research, social science and political research, official government statistics, and many other topic... more
In this 2-hour project-based course, you will learn how to import data into Pandas, create embeddings with SentenceTransformers, and build a retrieval augmented generation (RAG) system with your... more
Hello everyone and welcome to this hands-on guided project on simple linear regression for the absolute beginner. In simple linear regression, we predict the value of one variable Y based on... more
In this 2-hour long project-based course, you will learn how to serve content from multiple S3 buckets using AWS CloudFront from the AWS console Amazon CloudFront is a fast content delivery network... more

CONTINUE SEARCH

FOLLOW COLLEGE PARENT CENTRAL