- NumPy
- Data Visualization
- Pandas (Python Package)
- Data Manipulation
- Statistical Visualization
- Scientific Visualization
- Scatter Plots
- Histogram
- Visualization (Computer Graphics)
- Data Visualization Software
- Interactive Data Visualization
- Graphing
Applied Plotting, Charting & Data Representation in Python
Completed by Giulio Gallegos
November 18, 2020
24 hours (approximately)
Giulio Gallegos'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
