- NumPy
- Scatter Plots
- Scientific Visualization
- Data Manipulation
- Data Presentation
- Python Programming
- Statistical Visualization
- Pandas (Python Package)
- Graphing
- Interactive Data Visualization
- Visualization (Computer Graphics)
- Matplotlib
Applied Plotting, Charting & Data Representation in Python
Completed by Rane Gillian Rosario Villanueva
April 15, 2020
24 hours (approximately)
Rane Gillian Rosario Villanueva's account is verified. Coursera certifies their successful completion of Applied Plotting, Charting & Data Representation in Python
What you will learn
Describe what makes a good or bad visualization
Understand best practices for creating basic charts
Identify the functions that are best for particular problems
Create a visualization using matplotlb
Skills you will gain
