- Descriptive Statistics
- Python Programming
- Sampling (Statistics)
- Data Literacy
- Box Plots
- Jupyter
- Statistics
- Probability & Statistics
- Statistical Methods
- NumPy
- Data Analysis
- Data Compilation
Understanding and Visualizing Data with Python
Completed by Amanda Midori Matumoto
July 19, 2024
19 hours (approximately)
Amanda Midori Matumoto's account is verified. Coursera certifies their successful completion of Understanding and Visualizing Data with Python
What you will learn
Properly identify various data types and understand the different uses for each
Create data visualizations and numerical summaries with Python
Communicate statistical ideas clearly and concisely to a broad audience
Identify appropriate analytic techniques for probability and non-probability samples
Skills you will gain
