Data Understanding and Visualization
Completed by Manoj Kumar
January 19, 2026
25 hours (approximately)
Manoj Kumar'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: Statistical Visualization
- Category: Seaborn
- Category: Python Programming
- Category: Pandas (Python Package)
- Category: Data Visualization Software
- Category: Probability & Statistics
- Category: Exploratory Data Analysis
- Category: Matplotlib
- Category: Plot (Graphics)
- Category: Data Analysis
- Category: Correlation Analysis
- Category: Descriptive Statistics
