About this Course

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Coursera Labs
Includes hands on learning projects.
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Beginner Level

No prior Python experience required.

Approx. 38 hours to complete
English

What you will learn

  • Setup a provisioned Python project environment

  • Use Pandas libraries to read and write data into data structures and files

  • Employ Vim and Visual Studio Code to write Python code

Skills you will gain

  • Vim
  • Python Programming
  • Pandas
  • Visual Studio Code
  • Data Structure
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Beginner Level

No prior Python experience required.

Approx. 38 hours to complete
English

Offered by

Placeholder

Duke University

Syllabus - What you will learn from this course

Content RatingThumbs Up96%(1,258 ratings)
Week1
Week 1
9 hours to complete

Getting Started with Python

9 hours to complete
15 videos (Total 72 min), 3 readings, 5 quizzes
Week2
Week 2
10 hours to complete

Essential Python

10 hours to complete
12 videos (Total 65 min)
Week3
Week 3
10 hours to complete

Data in Python: Pandas and Alternatives

10 hours to complete
10 videos (Total 63 min)
Week4
Week 4
9 hours to complete

Python Development Environments

9 hours to complete
12 videos (Total 48 min)

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About the Python, Bash and SQL Essentials for Data Engineering Specialization

Python, Bash and SQL Essentials for Data Engineering

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