Data Understanding and Visualization
Completed by S MOTHI SREE
August 6, 2024
25 hours (approximately)
S MOTHI SREE '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: Data Visualization
- Category: Statistical Analysis
- Category: Data Visualization Software
- Category: Data-Driven Decision-Making
- Category: Seaborn
- Category: Pandas (Python Package)
- Category: Matplotlib
- Category: Correlation Analysis
- Category: Probability & Statistics
- Category: Exploratory Data Analysis
- Category: Statistical Visualization
- Category: Descriptive Statistics
