Python Project for Data Engineering

Python Project for Data Engineering

This course is part of multiple programs.

Instructors: Ramesh Sannareddy

Access provided by Toyota North America

70,554 already enrolled

3 modules

Gain insight into a topic and learn the fundamentals.

844 reviews

Intermediate level

Recommended experience

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

90%

Most learners liked this course

3 modules

Gain insight into a topic and learn the fundamentals.

844 reviews

Intermediate level

Recommended experience

Flexible schedule

1 week at 10 hours a week

Learn at your own pace

90%

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

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments¹

AI Graded see disclaimer

Taught in English

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There are 3 modules in this course

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. By the end of this hands-on project, you will have shown your proficiency with important skills to Extract Transform and Load (ETL) data using an IDE, and of course, Python Programming. Upon completion of this course, you will also have a great new addition to your portfolio! PRE-REQUISITE: **Python for Data Science, AI and Development** course from IBM is a pre-requisite for this project course. Please ensure that before taking this course you have either completed the Python for Data Science, AI and Development course from IBM or have equivalent proficiency in working with Python and data. NOTE: This course is not intended to teach you Python and does not have too much new instructional content. It is intended for you to mostly apply prior Python knowledge.

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

5 videos Total 25 minutes

Course Introduction 3 minutes
Demo: Working with an IDE 6 minutes
Extract, Transform, Load (ETL) 7 minutes
(Optional) Web Scraping 5 minutes
[Optional] REST APIs & HTTP Requests 5 minutes

3 readings Total 13 minutes

Helpful Tips for Course Completion 2 minutes
Pre-requisites and Course Syllabus 10 minutes
Module Summary: Extract, Transform, Load (ETL) 1 minute

2 assignments Total 25 minutes

Practice Quiz: Extract, Transform, Load (ETL) 10 minutes
Graded Quiz: Extract, Transform, Load (ETL) 15 minutes

4 app items Total 120 minutes

Hands-on Lab: Getting Started with IDE 15 minutes
Hands-on Lab: Extract, Transform, Load (ETL) 30 minutes
Hands-on Lab: Web scraping and Extracting Data using APIs 45 minutes
Hands-on Lab: Accessing Databases using Python script 30 minutes

1 plugin Total 5 minutes

Reading: Querying SQLite3 database 5 minutes

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 review3 app items3 plugins

2 readings Total 15 minutes

Congratulations and Next Steps 10 minutes
Thanks from the Course Team 5 minutes

1 assignment Total 15 minutes

Graded Quiz: Final Project 15 minutes

1 peer review Total 60 minutes

Option 2 - Peer Graded: Final Project - Submission and Evaluation 60 minutes

3 app items Total 180 minutes

Option 1 - AI Graded: Final Project - Submission and Evaluation 60 minutes
Practice Project: Extract, Transform and Load GDP data 60 minutes
Final Project: Acquiring and processing information on world's largest banks 60 minutes

3 plugins Total 25 minutes

Practice Project Overview 5 minutes
Final Project Overview 5 minutes
Reading: Final Project Submission Guidelines and Deliverables 15 minutes

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

3 videos Total 19 minutes

Python Style Guide and Coding Practices 6 minutes
Unit Testing 7 minutes
Packaging 5 minutes

2 readings Total 7 minutes

Module Introduction 2 minutes
Module Summary: Python Coding Practices and Packaging Concepts 5 minutes

1 assignment Total 10 minutes

Practice Quiz: Python Coding Practices and Packaging Concepts 10 minutes

3 app items Total 90 minutes

Hands-on Lab: Static Code Analysis 30 minutes
Hands-on Lab: Practice Session and Assignment on Unit Testing 30 minutes
Hands-on Lab: Practice Session and Assignment on Python Packaging 30 minutes

2 plugins Total 7 minutes

Reading: Static Code Analysis Resources 2 minutes
Cheatsheet: Python Coding Practices and Packaging Concepts 5 minutes

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Instructors

Instructor ratings

(215 ratings)

Ramesh Sannareddy

IBM

24 Courses 494,330 learners

Offered by

IBM

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Showing 3 of 844

Reviewed on May 18, 2023

Challenging and informative. Some difficulty interacting with the IBM Cloud unrelated to Coursera.

Reviewed on Nov 7, 2023

Excellent course - I would just remove the AI reading in some of the videos, listening to syntax for 1min straight is painful!

Reviewed on Feb 17, 2025

There were some minor issues along the way and I wish there was more guidance practice but, overall, I enjoyed the course and am loving this certificate. Thank you IBM!

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