- Data Analysis
- Data Manipulation
- Descriptive Statistics
- Box Plots
- Scatter Plots
- Data Storytelling
- Correlation Analysis
- Data Presentation
- Exploratory Data Analysis
- Seaborn
- Statistical Visualization
- Pandas (Python Package)
Data Understanding and Visualization
Completed by Ronobir Das
July 8, 2024
25 hours (approximately)
Ronobir Das'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
