- Data Manipulation
- Scatter Plots
- Scientific Visualization
- NumPy
- Histogram
- Data Presentation
- Pandas (Python Package)
- Graphing
- Statistical Visualization
- Matplotlib
- Interactive Data Visualization
- Visualization (Computer Graphics)
Applied Plotting, Charting & Data Representation in Python
Completed by Jerald Vincent Lapuz Cordova
July 27, 2020
24 hours (approximately)
Jerald Vincent Lapuz Cordova'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
