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

Web Applications and Command-Line Tools for Data Engineering

This course is part of Python, Bash and SQL Essentials for Data Engineering Specialization

Taught in English

Some content may not be translated

Noah Gift
Kennedy Behrman
Alfredo Deza

Instructors: Noah Gift

3,468 already enrolled

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.2

(28 reviews)

Intermediate level

Recommended experience

43 hours (approximately)
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

10 quizzes, 7 assignments

Course

Gain insight into a topic and learn the fundamentals

4.2

(28 reviews)

Intermediate level

Recommended experience

43 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

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

This week, 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 quiz1 discussion prompt3 ungraded labs

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

What's included

6 videos4 readings7 quizzes1 ungraded lab

This week, 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 readings1 quiz3 assignments1 ungraded lab

This week, 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 readings1 quiz4 assignments5 ungraded labs

Instructors

Instructor ratings
4.5 (11 ratings)
Noah Gift
Duke University
40 Courses90,738 learners

Offered by

Duke University

Recommended if you're interested in Data Management

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4.2

28 reviews

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    10.71%

  • 2 stars

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  • 1 star

    3.57%

PR
4

Reviewed on Feb 14, 2023

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