
Pragmatic AI Labs
Master Python essentials and Pandas for data engineering. Learn to set up development environments, manipulate data, and efficiently solve real-world problems.
In this course, you'll gain the Python and Pandas skills essential for data engineering: Set up version-controlled Python environments with necessary libraries Write Python programs using key language features and data structures Manipulate and analyze data using the powerful Pandas library Explore alternative data structures like NumPy arrays and PySpark DataFrames Utilize Vim, Visual Studio Code, and Git for productive development Whether you're a beginner or have some programming experience, you'll learn to harness Python and Pandas to tackle data engineering challenges. Hands-on exercises reinforce your learning each step of the way.
Kennedy Behrman
Senior Data Engineer
Noah Gift
Executive in Residence and Founder of Pragmatic AI Labs