Python Project for Data Engineering
Apply Python programming skills to real-world data engineering tasks through hands-on ETL projects and web scraping.
Apply Python programming skills to real-world data engineering tasks through hands-on ETL projects and web scraping.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full IBM Data Engineering Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.6
(644 ratings)
48,462 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 2 more
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What you'll learn
Implement ETL processes using Python
Master web scraping and API data extraction
Work with databases using Python
Apply best coding practices and testing
Create portfolio-ready data engineering projects
Skills you'll gain
This course includes:
1.4 Hours PreRecorded video
3 quizzes, 1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 3 modules in this course
This project-based course provides hands-on experience in data engineering using Python. Students work on real-world ETL (Extract, Transform, Load) projects, implementing web scraping techniques and API integrations. The curriculum includes practical assignments in data extraction, transformation, and database operations. Advanced topics cover Python coding best practices, unit testing, and package development.
Extract, Transform, Load (ETL)
Module 1 · 3 Hours to complete
Final Project
Module 2 · 3 Hours to complete
Python Coding Practices and Packaging Concepts
Module 3 · 2 Hours to complete
Fee Structure
Instructors
Experienced Educator and Applied AI Researcher with a Passion for Knowledge Sharing
With over a decade of university-level teaching experience, this passionate educator has developed numerous course modules, educational content, and hands-on lab designs. As a doctorate-level researcher specializing in applied AI, machine learning, and deep learning applications, they are dedicated to advancing both academic and practical knowledge. Their extensive background spans curriculum development, research, and fostering student engagement through practical projects.
Data Engineering and Technology Education Expert
Ramesh Sannareddy serves as a freelance technology educator and content developer, bringing over two and a half decades of experience in Information Technology Infrastructure Management, Database Administration, and Information Integration. After earning his Bachelor's Degree in Information Systems from Birla Institute of Technology, Pilani, he built an impressive career working with leading technology companies including Intergraph, Genpact, HCL, and Microsoft. Currently focused on his passion for teaching, he specializes in developing and delivering courses in Data Science, Machine Learning, Programming, and Databases. His educational impact is evidenced through his extensive course portfolio, which includes specialized programs in Data Engineering, Data Warehousing, Linux Commands, Machine Learning with Apache Spark, and Python Programming. His teaching reaches over 11,800 learners globally, maintaining a strong 4.5 rating for his educational content
Testimonials
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4.6 course rating
644 ratings
Frequently asked questions
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