Duke University
Web Applications and Command-Line Tools for Data Engineering
Duke University

Web Applications and Command-Line Tools for Data Engineering

Noah Gift
Kennedy Behrman
Alfredo Deza

Instructors: Noah Gift

4,256 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.3

(35 reviews)

Intermediate level

Recommended experience

43 hours to complete
3 weeks at 14 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.3

(35 reviews)

Intermediate level

Recommended experience

43 hours to complete
3 weeks at 14 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Construct Python Microservices with FastAPI

  • Build a Command-Line Tool in Python using Click

  • Compare multiple ways to set up and use a Jupyter notebook

Details to know

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Assessments

17 assignments

Taught in English

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This course is part of the Python, Bash and SQL Essentials for Data Engineering Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 4 modules in this course

In this module, you will learn how to install and run Jupyter on your local machine. Additionally, you will explore strategies to use code and text cells in a Jupyter notebook.

What's included

8 videos4 readings1 assignment1 discussion prompt3 ungraded labs

In this module, you will learn how to create and use a Cloud-based notebook in Google Colab and AWS Sagemaker.

What's included

6 videos4 readings7 assignments1 ungraded lab

In this module, you will learn how to build a Python Microservice with FastAPI and deploy a containerized machine learning Microservice for data engineering.

What's included

11 videos7 readings4 assignments1 ungraded lab

In this module, you will learn how to organize a Python project so you can build a powerful command-line tool. You will use Click, a useful command-line tool framework to enhance your tool. Finally, you will automate testing and quality control for publishing and sharing your tool with a registry.

What's included

25 videos11 readings5 assignments5 ungraded labs

Instructors

Instructor ratings
4.6 (12 ratings)
Noah Gift
Duke University
40 Courses145,307 learners

Offered by

Duke University

Recommended if you're interested in Data Management

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4.3

35 reviews

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PR
4

Reviewed on Feb 14, 2023

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