- Development Environment
- Pandas (Python Package)
- Data Manipulation
- Version Control
- Virtual Environment
- Git (Version Control System)
- Integrated Development Environments
- Data Structures
- NumPy
- Software Development Tools
- Data Import/Export
- Data Analysis Software
Python and Pandas for Data Engineering
Completed by Martin Dietz
August 22, 2022
52 hours (approximately)
Martin Dietz's account is verified. Coursera certifies their successful completion of Python and Pandas for Data Engineering
What you will learn
Setup a provisioned Python project environment
Use Pandas libraries to read and write data into data structures and files
Employ Vim and Visual Studio Code to write Python code
Skills you will gain
