Python Project for Data Engineering

IBM via Coursera

Coursera based on 764 ratings

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Overview

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. You will take on the role of a Data Engineer by extracting data from multiple sources, and converting the data into specific formats and making it ready for loading into a database for analysis. You will also demonstrate your knowledge of web scraping and utilizing APIs to extract data....

Syllabus

Extract, Transform, Load (ETL)

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.

Final Project

In this lesson, you will complete two projects, one for practice and one for assessment to apply what youve 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.

[Optional] Python Coding Practices and Packaging Concepts

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.