- Data Manipulation
- Scatter Plots
- Scientific Visualization
- NumPy
- Histogram
- Data Presentation
- Graphing
- Pandas (Python Package)
- Statistical Visualization
- Matplotlib
- Interactive Data Visualization
- Visualization (Computer Graphics)
Applied Plotting, Charting & Data Representation in Python
Completed by DARSHAN RAHUL RAJOPADHYE
July 23, 2020
24 hours (approximately)
DARSHAN RAHUL RAJOPADHYE'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
