Data Engineering with Python
At a Glance
This is a comprehensive program designed to provide participants with essential skills and knowledge in data engineering using the Python programming language. Participants will learn fundamental concepts and techniques for processing, transforming, and managing data, preparing them for roles in data engineering and analytics.
Objectives
By the end of the course, participants will be equipped to:
- Understand the role of data engineering in the data lifecycle
- Master essential Python libraries and tools for data engineering
- Apply best practices for data preprocessing, transformation, and cleaning using Python
- Design and implement data pipelines for batch and streaming data processing
- Gain hands-on experience with common data storage and retrieval technologies
- Implement data engineering solutions to real-world scenarios and challenges
Prerequisite
Participants should have a basic understanding of Python programming language syntax and concepts. Familiarity with fundamental data concepts such as databases and data formats is beneficial but not required.
Curriculum
- 8 Sections
- 0 Lessons
- 0 Quizzes
- 0m Duration
Introduction to Data Engineering and Python
0 Lessons0 Quizzes
Data Preprocessing and Transformation with Pandas
0 Lessons0 Quizzes
Building Data Pipelines with Python
0 Lessons0 Quizzes
Working with SQL Databases in Python
0 Lessons0 Quizzes
Working with NoSQL Databases and Big Data Technologies
0 Lessons0 Quizzes
Data Engineering Best Practices and Design Patterns
0 Lessons0 Quizzes
Data Engineering for Real-World Applications
0 Lessons0 Quizzes
Practical Implementation: Building a Data Pipeline
0 Lessons0 Quizzes
