- Jupyter
- NumPy
- Data Analysis
- Python Programming
- Statistical Methods
- Matplotlib
- Descriptive Statistics
- Statistical Visualization
- Data Visualization Software
- Box Plots
- Statistical Inference
- Statistical Analysis
Understanding and Visualizing Data with Python
Completed by Jose Acosta
November 1, 2024
19 hours (approximately)
Jose Acosta'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
