Datacamp – Data Engineer in Python 2025-3
Datacamp – Data Engineer in Python 2025-3 Downloadly IRSpace
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Data Engineer in Python, Advance your journey to becoming a Data Engineer with our Python-focused track, which is ideal for those with foundational SQL knowledge from our Associate Data Engineer track. This track dives deeper into the world of data engineering, emphasizing Python’s role in automating and optimizing data processes. Starting with an understanding of cloud computing, you’ll progress through Python programming from basics to advanced topics, including data manipulation, cleaning, and analysis. Engage in hands-on projects to apply what you’ve learned in real-world scenarios. You’ll explore efficient coding practices, software engineering principles, and version control with Git, preparing you for professional data engineering challenges. Introduction to data pipelines and Airflow will equip you with the skills to design, schedule, and monitor complex data workflows.
What you’ll learn
- Understanding Cloud Computing
- Introduction to Python for Developers
- Introduction to Importing Data in Python
- Intermediate Importing Data in Python
- Cleaning Data in Python
- Writing Efficient Python Code
- Introduction to Git
Specificatoin of Data Engineer in Python
- Publisher : Datacamp
- Teacher : Hugo Bowne-Anderson
- Language: English
- Level : All Levels
- Lectures : 14
- Duration : 40 hours and 0 minutes
Content of Data Engineer in Python
Pictures
Sample Clip
Installation Guide
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Subtitle : English
Quality: 720p
Version 2025/3 has increased by 42 minutes compared to 2024/11.
Download Links
Cleaning Data in Python
ETL and ELT in Python
Intermediate Git
Intermediate Importing Data in Python
Intermediate Python for Developers
Introduction to APIs in Python
Introduction to Git
Introduction to Importing Data in Python
Introduction to Python for Developers
introduction-to-apache-airflow-in-python
Software Engineering Principles in Python
Streamlined Data Ingestion with pandas
Understanding Cloud Computing
Writing Efficient Python Code
File size
2.7 GB
