Data Understanding and Visualization
Completed by Ratna Sunil Thalathoti
February 24, 2026
25 hours (approximately)
Ratna Sunil Thalathoti's account is verified. Coursera certifies their successful completion of Data Understanding and Visualization
What you will learn
Understand and communicate the various statistical aspects of datasets, including measures of central tendency, variation, location, and correlation.
Utilize Pandas for data manipulation and preparation to set the foundation for data visualization.
Utilize Matplotlib and Seaborn to create accurate and meaningful data visualizations.
Skills you will gain
- Category: Python Programming
- Category: Seaborn
- Category: Statistical Visualization
- Category: Pandas (Python Package)
- Category: Data Visualization Software
- Category: Plot (Graphics)
- Category: Data Analysis
- Category: Exploratory Data Analysis
- Category: Matplotlib
- Category: Probability & Statistics
- Category: Statistics
- Category: Data Manipulation
