Python Data Science: Environment Setup
Completed by Joseph Oluwadamilare Olorunfemi
April 16, 2026
2 hours (approximately)
Joseph Oluwadamilare Olorunfemi's account is verified. Coursera certifies their successful completion of Python Data Science: Environment Setup
What you will learn
Evaluate and choose the right hardware, cloud, and library requirements for your projects.
Deploy a complete local workspace by installing the Anaconda distribution and navigating the system using command-line Conda tools.
Build, manage, and run your first data projects within the interactive Jupyter Notebook dashboard by configuring kernels, document cells, and menus.
Learn by doing. Perform guided, step-by-step hands-on activities on your own computer.
Skills you will gain
- Category: Software Development
- Category: Pandas (Python Package)
- Category: Package and Software Management
- Category: NumPy
- Category: Data Processing
- Category: Data Analysis
- Category: Virtualization and Virtual Machines
- Category: Computer Programming
- Category: Software Installation
- Category: Seaborn
- Category: Data Science
- Category: Matplotlib
