Data Understanding and Visualization
Completed by Alexandro César Rondini
May 20, 2024
25 hours (approximately)
Alexandro César Rondini'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-Driven Decision-Making
- Category: Data Presentation
- Category: Pandas (Python Package)
- Category: Data Visualization Software
- Category: Statistics
- Category: Plot (Graphics)
- Category: Data Manipulation
- Category: Statistical Visualization
- Category: Descriptive Statistics
- Category: Seaborn
- Category: Exploratory Data Analysis
- Category: Correlation Analysis
