Duke University
5 weeks at 10 hours per week
This course teaches you how to set up a version-controlled Python environment and use Python and Pandas for data analysis and manipulation, preparing you for a career as a data engineer.
No prior Python experience is required for this beginner-level course.
In this course, you will learn how to set up a Python working environment with virtual environments and third-party libraries like Pandas. You will also be introduced to Python fundamentals like statements, functions, and data structures. The course then dives into using Pandas to load, manipulate, and analyze data in DataFrames. Finally, you'll explore popular Python development environments like Vim and Visual Studio Code, as well as version control with Git.
Duke University is a highly respected institution with a strong commitment to applying knowledge to real-world problems. This course is part of their specialized curriculum for data engineering, providing industry-relevant skills and tools.
After completing this course, you will have the foundational Python and data manipulation skills needed to begin a career as a data engineer, working with large datasets and building data pipelines.
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