Python Project for Data Engineering

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Python Project for Data Engineering

This course is part of multiple programs.

Instructors: Ramesh Sannareddy +2 more

73,440 already enrolled

Included with

3 modules

Gain insight into a topic and learn the fundamentals.

849 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.

849 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

Category: Data Capture
Category: Data Integration
Category: Databases
Category: Package and Software Management
Category: Data Transformation
Category: Extract, Transform, Load
Category: Data Access
Category: Programming Principles
Category: Style Guides
Category: Data Pipelines
Category: Unit Testing
Category: Web Scraping
Category: Database Management
Category: Data Wrangling
Category: Maintainability

Tools you'll learn

Category: Python Programming
Category: Application Programming Interface (API)
Category: Integrated Development Environments

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments¹

AI Graded see disclaimer

Taught in English

Build your subject-matter expertise

This course is available as part of

When you enroll in this course, you'll also be asked to select a specific program.

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

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 videosTotal 25 minutes

Course Introduction3 minutes
Demo: Working with an IDE 6 minutes
Extract, Transform, Load (ETL)7 minutes
(Optional) Web Scraping 5 minutes
[Optional] REST APIs & HTTP Requests5 minutes

3 readingsTotal 13 minutes

Helpful Tips for Course Completion2 minutes
Pre-requisites and Course Syllabus10 minutes
Module Summary: Extract, Transform, Load (ETL)1 minute

2 assignmentsTotal 25 minutes

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

4 app itemsTotal 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 APIs45 minutes
Hands-on Lab: Accessing Databases using Python script30 minutes

1 pluginTotal 5 minutes

Reading: Querying SQLite3 database5 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 readingsTotal 15 minutes

Congratulations and Next Steps10 minutes
Thanks from the Course Team5 minutes

1 assignmentTotal 15 minutes

Graded Quiz: Final Project 15 minutes

1 peer reviewTotal 60 minutes

Option 2 - Peer Graded: Final Project - Submission and Evaluation60 minutes

3 app itemsTotal 180 minutes

Option 1 - AI Graded: Final Project - Submission and Evaluation60 minutes
Practice Project: Extract, Transform and Load GDP data60 minutes
Final Project: Acquiring and processing information on world's largest banks60 minutes

3 pluginsTotal 25 minutes

Practice Project Overview5 minutes
Final Project Overview5 minutes
Reading: Final Project Submission Guidelines and Deliverables15 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 videosTotal 19 minutes

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

2 readingsTotal 7 minutes

Module Introduction2 minutes
Module Summary: Python Coding Practices and Packaging Concepts 5 minutes

1 assignmentTotal 10 minutes

Practice Quiz: Python Coding Practices and Packaging Concepts10 minutes

3 app itemsTotal 90 minutes

Hands-on Lab: Static Code Analysis30 minutes
Hands-on Lab: Practice Session and Assignment on Unit Testing30 minutes
Hands-on Lab: Practice Session and Assignment on Python Packaging30 minutes

2 pluginsTotal 7 minutes

Reading: Static Code Analysis Resources2 minutes
Cheatsheet: Python Coding Practices and Packaging Concepts5 minutes

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Instructors

Instructor ratings

(215 ratings)

Ramesh Sannareddy

IBM

24 Courses518,059 learners

Offered by

IBM

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Learner reviews

5 stars
77.55%
4 stars
14.33%
3 stars
3.64%
2 stars
1.76%
1 star
2.70%

Showing 3 of 849

Reviewed on Jun 2, 2023

Very informative and educative course that I would recommend to any one pursuing a career in Data Engineering with Python

Reviewed on Apr 25, 2024

Extremely helpful course with multiple hands-on projects and one graded project. Loved the structure of the course !

Reviewed on Sep 6, 2022

Beautiful and challenging project. The project measures that students understand and complete the ELT process taught in the previous module.

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.