Complete Guide to Python for Data Engineering: From Beginner to Advanced
Who is this course for
Aspiring Data Engineers: Learn how to use Python for data processing, analysis, and engineering tasks essential in the field of data engineering.
Intermediate Python Programmers: Enhance your Python skills by mastering advanced data engineering tools and techniques used in real-world projects.
Job Seekers and Interview Candidates: Prepare for data engineering interviews with hands-on coding challenges and a capstone project focused on retail sales analysis.
Course Overview
The "Complete Guide to Python for Data Engineering" is designed to take learners from beginner to advanced levels of Python programming, focusing on tasks and tools used in the data engineering field. The course includes an overview of Python basics, collections, file handling, and object-oriented programming (OOP) before diving into more advanced topics like Pandas, NumPy, web scraping, and data engineering libraries. Interactive coding challenges powered by CoderPad offer real-time feedback, allowing learners to sharpen their Python skills while solving practical problems.
The course also includes a capstone project that ties everything together, with a focus on retail sales analysis. Learners will apply the concepts they’ve mastered to a real-world project, helping them build a strong portfolio and gain the confidence needed to work as data engineers. By the end of the course, you will have advanced Python skills and be ready to tackle complex data engineering tasks in the real world.
What You'll Learn
- Expert-level knowledge of Python for data engineering, including Pandas, NumPy, file handling, and web scraping.
- Hands-on experience with interactive coding challenges to build practical coding skills in real-time.
- Practical skills for working with Python collections, object-oriented programming (OOP), and advanced built-in functions.
- Capstone project focused on retail sales analysis, allowing you to apply your skills to a real-world data engineering scenario.
