Python for Data Engineer Training

Live Online & Classroom Enterprise Training

Python for Data Engineers focuses on using Python to build and manage data pipelines and workflows. It covers data processing, automation, working with databases, and integrating big data tools.

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What is Python for Data Engineer Training about?

This course is designed to help aspiring and practicing data engineers gain strong proficiency in Python, the most widely used language in modern data engineering. Learners will explore how Python can be applied for building ETL pipelines, handling large datasets, automating workflows, and integrating with databases and cloud platforms. By the end of the course, participants will have hands-on experience in using Python for data extraction, transformation, loading (ETL), and preparing data for analytics and machine learning applications.

What are the objectives of Python for Data Engineer Training ?

Understand core Python concepts relevant to data engineering.
Work with libraries like Pandas, PySpark, and SQLAlchemy for data handling.
Build and optimize ETL workflows using Python.
Connect Python applications with relational and NoSQL databases.
Automate data processing and integrate with big data/cloud platforms.

Who is Python for Data Engineer Training for?

Aspiring data engineers starting their career.
Software developers transitioning into data engineering roles.
Data analysts who want to automate and scale workflows.
Big data professionals enhancing their Python skills.
Students and graduates pursuing careers in data engineering.

What are the prerequisites for Python for Data Engineer Training?

Prerequisites:

Basic knowledge of programming (any language).
Understanding of databases and SQL fundamentals.
Familiarity with data analysis concepts.
Exposure to cloud/big data platforms is helpful but not mandatory.
Willingness to work with real-world datasets and pipelines.

Learning Path:

Python basics for data engineers (syntax, functions, data structures).
Working with files, APIs, and data ingestion methods.
Data manipulation with Pandas and PySpark.
Building ETL pipelines and database integrations.
Deploying and automating data workflows on cloud platforms.

Related Courses:

Data Engineering on Google Cloud
Big Data Analytics with Spark
SQL for Data Engineering
Cloud Data Warehousing with Snowflake

Available Training Modes

Live Online Training

5 Days

Course Outline Expand All

Expand All

Module 1- Getting Started with Python

Module 2- Python Language Basics

Module 3- Working with Python Sequences

Module 4- More Data Structures

Module 5- First Coding Challenge

Module 6- Python Functions

Module 7- Errors and Exception Handling

Module 8- Python Objects and Classes

Module 9- Python Modules and Packages

Module 10- Second Coding Challenge

Who is the instructor for this training?

The trainer for this Python for Data Engineer Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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