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: Pandas (Python Package)
- Category: Data-Driven Decision-Making
- Category: Data Presentation
- Category: Data Visualization Software
- Category: Statistical Visualization
- Category: Descriptive Statistics
- Category: Statistics
- Category: Data Manipulation
- Category: Data Visualization
- Category: Statistical Analysis
- Category: Plot (Graphics)
- Category: Data Analysis
