Showcase your Python skills in this Data Engineering Project! This short course is designed to apply your basic Python skills through the implementation of various techniques for gathering and manipulating data.
Python Project for Data Engineering
Python Project for Data Engineering
This course is part of multiple programs.
Instructors: Ramesh Sannareddy
Sponsored by University of Texas at Austin
49,891 already enrolled
Gain insight into a topic and learn the fundamentals.
4.6
(682 reviews)
Intermediate level
Recommended experience
Flexible schedule
Approx. 9 hours
Learn at your own pace
89%
Most learners liked this course
What you'll learn
Demonstrate your skills in Python for working with and manipulating data
Implement webscraping and use APIs to extract data with Python
Play the role of a Data Engineer working on a real project to extract, transform, and load data
Use Jupyter notebooks and IDEs to complete your project
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
4 assignments
Taught in English
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This course is available as part of
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- Develop job-relevant skills with hands-on projects
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There are 3 modules in this course
Module 1 introduces you to Extract, Transform, and Load operations basics. You will learn to extract required information from web pages using web scraping techniques and APIs. You will also access databases using Python and save the processed information as a table in a database.
What's included
5 videos3 readings2 assignments4 app items1 plugin
In this lesson, you will complete two projects, one for practice and one for assessment to apply what you’ve learned. These projects have you implement your skills learned in the previous course and the last module regarding the Extract, Transform, and Load process using web scraping and accessing databases using REST APIs and Python.
What's included
2 readings1 assignment1 peer review2 app items2 plugins
In this bonus module, you will become familiar with the best practices for coding as documented in the Python Enhancement Proposal (PEP8) style guide. You will learn about static code analysis, ensuring that your code adheres to the coding rules. Next, you will learn how to create and run unit tests. Finally, you will learn how to create, verify, and run Python packages.
What's included
3 videos2 readings1 assignment3 app items2 plugins
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